What can we learn from South Korea?

Of all the places I’ve visited, I’ve not seen technology so deeply embedded into daily life anywhere as much as in South Korea. Boasting technology giants such as Samsung and LG, South Korea places a conspicuous high value on technology in practically all aspects of life.

Korea’s remarkable technology driven growth has also been accompanied by improvements in social equity. How? Investment in human capital – as evidenced by their PISA results in recent years.

South Korea is well known for their results in the OECD PISA survey

Korea rides high in PISA (pic c/o Wikipedia)

Unlike Finland, whose high ranking in PISA can be attributed to excellent public schooling, Korea’s investment in human capital is significantly influenced by private investment. Parents with school-age children spend close to 25 percent of their income on education and all parents spend a large portion of their income on supplementary educational materials. Private education cost 3.95% of GDP in 2006. According to colleagues in South Korea, students acquire about 30 percent of their formal learning through their schooling, and the rest through supplementary measures.  

So what motivates parents to spend such large amounts of money on private tutoring outside the state schooling system? The main driver is that education is viewed as being crucial for success. At three or four years old, Korean children begin the long and strenuous race to higher education where Science and Engineering dominate.

Examination time is a very serious times of the year and the whole pattern of society changes. Businesses often start at 10AM to accommodate parents who have helped their children study late into the night and on the evenings before exams. The entire schooling system is geared to college entrance, so the curriculum of most schools is structured around the content of the entrance examination.

The Korean government spends generously on education (4.5% GDP in 1986); children spend a lot of days in school (220 days in Korea vs 180 days in the US); and school children work very long hours too. While these factors help with test scores, Korea is remarkably inefficient at a PISA criterion known as “study effectiveness”. South Korea ranks only 24th out of 30 developed nations in this measure. Top in study effectiveness is Finland, where time in school and hours spent studying is significantly less than Korea.

While many if not most other countries look on Korean performance on international tests like PISA with envy, in Korea itself there appears to be an intense pressure to do better, and in this highly technocratic country, its little surprise that technology is seen to be an important component.  

Technology Developments

Korea has been ‘computerizing’ schools for the last 15 years or so, and was the first country in the world to provide high-speed internet access to every primary, junior, and high school. ICT is also an increasing focus in the Korean Government’s education strategy, and in recognition of their progress, Korea won 1st prize from UNESCO for ICT in Education in 2007. So you’d be forgiven for thinking that this lead to Korea coming top in PISA Digital Literacy tests in June 2011 – however computer use is often restricted to teachers presenting information to students.

The real reason Korean students do so well in Digital Literacy is the intense use of technology after school – in Internet cafes, “cram schools” and the home where children can use the world’s fastest home Internet connections – on average 100 Mbps now, and with plans to increase this to 1 Gbps.

Several government initiatives have been set up to bridge the gap between the different levels of effectiveness of learning at home and at school. The overall goal of Government ICT initiatives is to ensure that by 2014 Korean school children will be competent with 21st century skills and are talented at innovating with future digital technology.

Much of the government’s initiative in ICT is channelled through KERIS – a Government Research Institute that acts as the country’s national ICT/education agency. KERIS’ Future Schools programme has conducted 39 research projects and 14 development projects focussed on new learning methods based on new technology. 

Infrastructure Development

The current priority from a budget standpoint is the acquisition of hardware and modernising class facilities. By 2010 there was a ratio of 5 students per PC – the intent of this investment was to support the development of creativity and problem-solving.

IT Expenditure Priorities

A second budget priority is to increase the number of classrooms that have been transformed to achieve “ubiquitous-learning” (u-learning).

Digital Textbook Project

KERIS has been piloting ‘digital textbooks’ in various forms in preparation for the move by 2015 to using digital textbooks in all schools in all subjects at all levels. The idea is that digital textbooks will be accessed/viewed on many different types of devices, from tablets to desktops to laptops to phones.

Cyber Home Learning System

In an attempt to reduce the cost of private education KERIS also developed content for the Cyber Home Learning System. Launched in 2004, CHLS is an online learning service supporting student’s self-directed learning. Click here to find out more – http://www.youtube.com/watch?v=CF8XdvA4ajk

Cyber Home Learning System

The next generation of the CHLS will include community, e-portfolio and analytical functions.

Next Generation of CHLS

EDUNET

KERIS set up and operates EDUNET, an educational information service which distributes a diverse range of high quality educational content. Content ranges from sound, photo, image, animation, module and video and is all specified by curriculum. As of October, 2010, the number of EDUNET users reached 6.17 million out of a school student population of 7.7m. To see a sample of the content, view a short video here. 

Education Broadcasting Services on the Internet (EBSi)

A service that has seen a sharp rise in growth recently is EBSi. This is where key education broadcasting service assets are made available for download. In 2010, daily usage of video-clips of lectures was 574,461, a 78% increase from the same period of the previous year.  

Teacher Training

Advances have been made too in teacher training. Not only are increasing numbers of teachers licenced to teach ICT, distance education training based on e-Learning has become the core method of teachers training. Distance learning is available to students too via “Air and Correspondence High School”.

NEIS (National Education Information Service)

The Korean Government is keen to develop the use of data systems in education. In a drive to reduce teacher workload, an administration system called NEIS (National Education Information Service) was developed. By streamlining procedures, many administrative processes can now be done in one-step. The system connects all stakeholders of the student, to allow them to get “to Know Our Children Better”. NEIS integrates student records across a range of fields including assessments, examination and health data.

The first task in creating NEIS was to develop the physical infrastructure. The aging facilities of the overall education management centre and 16 Metropolitan and municipal education offices were replaced. 3,800 servers with databases were installed in schools and integrated into a datacentre comprising 100 servers in upstream education offices.

To help teachers adapt, training is provided, and structured guides are available on the teacher area of Edunet.

 

(MPOE – Metropolitan and Provincial Offices of Education)

(MEST – Ministry of Education, Science and Technology)

After infrastructure, the next key ingredient was Business Process Reengineering and Information Strategy Planning (BPR/ISP) for constructing the business management system for the MPOEs. A transmission system for electronic funds transfer (EFT) system was created at the Korea Financial Telecommunications and Clearings Institute.

The School Information Disclosure System allows anyone including students and parents to easily receive information about schools. The system is designed to increases parents and the local community’s interest and participation in the schooling system. In addition, the government and the Offices of Education are expected to boost policy achievements by establishing even more efficient policies through situational reality analysis of school units using the School Information Disclosure System.

Where next?

Whilst Korea is developing one of the best IT infrastructures in the world, there are three key areas that need focus:

  • According to “Adapting Education to the Information Age”, Software Infrastructure in Korea is behind to developed countries and a change is required to develop capacity in this area.
  • A second area for development is lifelong learning. 28% of adults participated in the lifelong learning in 2009, which is lower than major advanced countries – eg EU average participation rate is 37.9%.
  • Perhaps the most important area of focus is 21st century skills. Korea has few programs in this area, and with Communication and Collaboration now part of the PISA 2012 framework, this area is in need of development.

To learn more:

Excellent blog article by Michael Trucano with links to in-depth resources: http://blogs.worldbank.org/edutech/e-learning-in-korea-in-2011-and-beyond

2012 – The Year of Constructive Disruption?

This article is a personal perspective of the key Education Technology trends that we can expect to see in 2012. Whilst not expecting anything as apocalyptic as the Mesoamerican Long Count Calendar theory, my belief is that the world of education technology will see new and powerful disruptive forces in 2012. Whilst there are certainly very challenging times ahead for public sector institutions and the industry that serves them, innovation is accelerating too and new technologies and approaches will offer creative solutions for those who are prepared drive, or at least accept, change.

Mark Anderseen writing in the Wall Street Journal in August 2011 proposes that “Healthcare and education are next up for fundamental software-based transformation”. Education, Anderseen contends, has historically been highly resistant to entrepreneurial change, and is now primed for ‘tipping’ by new software-centric entrepreneurs”. This article explores the forces of technological change that are priming education for ‘tipping’, and what form that ‘tipping’ could take.

Forces of Disruption

As we start 2012 we enter uncharted economic, social and political territories. Frontier Strategy Group, a Washington based provider of market intelligence, predicts that advanced economies will “muddle through the next 18 months with low growth but avoid a major recession”. Gartner, on the other hand, predicts that by 2014, “major national defaults in Europe will lead to the collapse of more than a third of European banks” – which will have significant consequence worldwide.

Gartner also predict that the control of technology is “shifting out of the hands of IT organisations… Cloud, social, mobile and information management technologies are all evolving at a pace”.

Developing markets are exerting an increasingly powerful influence too. According to Frontier, in the next 4 years, Latin America will consume more PCs than in the previous 30 years combined (276 million units). So much for the so called “post PC era”. At the same time we’re seeing the Asia/Pacific region emerge as one of world’s largest markets for devices, with an expected total market sales of more than 6.3 million tablets in 2011.

End-user expectations are rapidly changing too – “end users expect to get access to personal, work, applications and data from any device, anytime and anywhere”. Users and institutions are also demanding ever better power conservation too. The concept of “Big Data” is starting to “alter the relationship of technology to information consumption, as data coming from multiple federated sources in structured and unstructured forms must now be analysed using new methodologies”.

So what does all this mean for education technology? The first thing to consider is the fact that ICT expenditure in education in 2012 is coming off a comparatively weak platform. For at least 20 years now, IT has systematically been introduced into schooling but whilst the value of IT in education is clear, what is also clear is that education has the lowest levels of IT spending amongst any type of major enterprise – IT Spending by Industry Vertical Market, Worldwide. So are we likely to see a boost in the purchase and adoption of IT in schooling worldwide in 2012? The answer to this will depend a lot on spending on education ICT by governments.

Government Spending

According to Gartner, the current decision-making environment is dominated by demands to cut costs while improving operational efficiency and effectiveness. “Government organizations will continue to adopt technology innovation, but mostly in areas where technology is inexpensive” or “support more radical approaches to cost containment”. “By 2013, government financial sustainability will join cost containment as the top driver and constraint for government IT spending”. This isn’t a short-term trend either – “the continuing pressure to cut government budgets is likely to influence spending priorities for the next decade or more”.

Those of us wishing for a tipping point where schooling gets transformed at scale may be in for a wait. For many governments in 2012, “the key challenge will no longer be to transform, but to fulfil their statutory obligations”.

IT investments that enable transformational change “will be limited, especially by the politics of establishing budget priorities and the difficulties of institutional change”. However, these challenges and opportunities won’t be evenly spread, so let’s now look at how these forces are playing out in different parts of the world.

BRICs

Brazil – Microsoft’s Emilio Munaro says “there are more than 198,000 schools in Brazil and 98% of them now have computer labs”. “Tablet usage is growing fast, in many cases accelerated by popular touch enabled apps, but also long battery life which suits environments where electricity outlets are in short supply. However, broadband connection will remain as the challenge for Brazil in the next 3-4 years”.

Russia’s 2012-2014 budgets emphasise long-term development goals and the further introduction of ICT in schools. Expect to hear more about a significant new School of the Future project in the Moscow Region initiated by the Skolkovo Foundation.

The importance of using ICT for improving education in India has been emphasized in the policy framework for over a decade, and 2011 saw a number of large-scale device-lead initiatives. India is home to both one of the biggest IT workforces in the world, but also has incredible diversity in wealth and geography and this has lead to a wide range of solutions for both formal and informal learning. There’s every expectation that use of ICT in education will continue to grow and more innovations will emerge from India in 2012.

Meanwhile in China, mass school computerisation efforts are under way in rural Western China. “It is clear that Chinese support for the purchase of ICT infrastructure for schools will most likely increase greatly in the coming years” according to Michael Trucano from the World Bank.

Europe

The recent down-grading of credit ratings of some major European economies will mean that government borrowing in those countries will be more expensive, giving less room to manoeuvre on public spending. Whilst innovation and investment in ICT in schooling remains strong in many European countries, public sector austerity measures will inevitably cause disruption. However, one mitigating factor is that unemployment and the cost of school dropout is at the top of the agenda for many European countries, so investment in Education ICT may also be seen as a way to boost economic growth.

According to Mark East, General Manager for Microsoft’s Education Group “One thing is for sure; human capital is a nation’s greatest asset and Education will remain a priority investment area for most Governments”.

Asia

South Korea – already top of PISA and digital literacy skills tables – is surging ahead with a $2.4bn Education technology plan, now in its third phase of deployment. Many middle school and high school students now download and complete e-learning classes via their portable multimedia players as a matter of routine.

In Singapore, the government is driving technology lead innovation, and recently announced plans to digitise testing and examination systems.

USA

There’s a sense of big appetite for change in the USA, driven by a collapse in adequate levels of funding for schooling and the rapid growth in virtual schooling and online learning resources. The Department of Education is executing against a strong National Education Technology Plan and the USA is a hotbed of innovation in the education consumer space.

Teacher Shortages

The world urgently needs to recruit more than 8 million extra teachers, according to UN estimates. A worldwide shortage of primary school teachers threatens to undermine global efforts to ensure universal access to primary education by 2015.

According to the Guardian newspaper, at least 2m new teaching positions will need to be created by 2015, and an additional 6.2 million teachers will need to be recruited to maintain the current workforce.

This means that the 55m practicing teachers worldwide have increasing demands on their time as countries compete to raise education standards and develop the skills required for economic growth, at a time when the profession is short of the optimal workforce by 15%. As pointed out by Professor Sugata Mitra recently, “quality teachers simply don’t exist where they’re needed most”. “Talented teachers tend to be drawn away from relatively poor areas due to offers of better jobs or higher incomes. For these reasons, “we need new methods of learning”.

Whilst it’s clear that ICT can help governments achieve their education aims, the increased demand for teachers with ICT skills is clearly outpacing supply.

Consumerisation

Rapidly increasing availability of access to online learning sources, coupled with social networking is opening up a spectrum of low cost learning opportunities for students both inside and outside the classroom. MIT Open Courseware, Kahn Academy, University of the People, BBC Bitesize, Mymaths, Tutorhunt etc. all offer a supplement to teacher-lead “instruction”. Sugata Mitra’s “Hole in the Wall” project goes even further, offering learning where there simply are no teachers.

According to sources quoted by Larry Cuban of Stanford University, the worldwide market for self-paced eLearning products and services reached $32.1 billion in 2010 (about 50% of what formal education currently spends on ICT). The five-year compound annual growth rate (CAGR) is 9.2% and revenues will grow to $49.9 billion by 2015.

Clayton Christiansen, in his book “Disrupting Class” predicted that virtual schooling will force massive changes to formal schooling systems. By 2008, online enrolments for virtual schooling in the US had risen from 45,000 in 2000 to over 1 million, and there are no signs that this is slowing down.

A key component in consumerisation is social networking, and we’re seeing a lot of innovation in this space. For example, Microsoft’ recently announced So.cl which integrates search into the social learning experience.

Shifting Power

More Learning Please

Rising youth unemployment in Europe and the Middle East, globalisation and growth in developing countries are all fuelling the need for more knowledge, skills and competencies.

“People leaving our schooling systems, more now than ever, will need to be able to respond positively to the opportunities and challenges of the rapidly changing world in which we live and work. In particular, they need to be prepared to engage with environmental, economic, social and cultural change, including dealing with the effects of global warming and the continued globalisation of the economy and society, with new work and leisure patterns and with the rapid expansion of communication technologies.” (UK Qualifications and Curriculum Authority).

In the same way that there is limited funding available from the public purse, there is also limited time in the school day into which to squeeze the curriculum. Again, the implications are clear – more effective learning has to be implemented.

Mind the Engagement Gap

Commercial websites are increasingly become social sites, leaving a shortage of people to deal with social engagement on the scale required. The same pattern is happening in schooling where the teaching workforce does not have the capacity to deal with the explosion in the demands for skills and competencies, and the increasingly availability of online learning. As students’ technology capacity grows relative to that of teachers, an engagement gap between students and teacher is set to widen.

The answer to the engagement gap in commerce is the increasing use of “bots” and many sites now have fully or semi-automated live chat. In 2010, the average user of Facebook has 120 to 150 friends. Some of these “friends” are not real people, and many users find this to be quite natural. Gartner predicts that by 2015, 10% of your online “friends” will be nonhuman. It’s a reasonable bet that some of these online friends will be virtual tutors.

What will the answer to the engagement gap in schooling look like? Professor Sugata Mitra explores the theory that, given unrestricted and unsupervised access to the Internet, groups of children can learn almost anything on their own. Few – myself included – would advocate this as a universal approach to schooling, but it’s clear that technology enhanced independent and social learning offers answers to both the lack of teachers and the need for more effective learning.

Irresistible Forces Meet the Immovable Object

So the forces of consumerisation, increased learning requirements, and the demand for relevant ways to engage are beginning to weigh heavily on institutionalized learning.

According to Gartner, “the homogeneous learning and technology environment of the last century is fading fast. Moreover, the ivory tower mentality of education agencies is disappearing to reflect changing needs and values”.

These irresistible forces, however, will continue to meet an immovable object – schools. Whilst the nature of schooling will surely change, children will still be going to places called schools run by teachers well into the foreseeable future. Schools have responsibilities beyond academic learning. Parents and voters want schools to socialize students into community values, prepare them for civic responsibilities, and get them ready for college and career. Technology enhanced independent learning alone cannot meet those demands.

Big challenges for 2012

So the 2012 landscape will be dominated the necessity to provide more learning at less cost, against a backdrop of human capacity shortages and students faced with greater consumer choices.

Schooling IT leaders must balance the demands of supporting today’s environment, addressing the demands of the education stakeholder community, and preparing for a technology-driven transformation of the education ecosystem.

So what, then, are the big education technology challenges for 2012?  Its my belief that there are three big problems to crack, and that in 2012 market forces will drive progress in each of these areas.

1. ROI

2. Personalising Learning

3. National Education Networks

ROI

I start with ROI because in times of squeezed budgets it’s essential that both institutions and suppliers are able to identify which budget lines have the greatest and least impact on the learning “bottom line”, and identify where investments will have the most positive effect. At the very least, I’d expect it to at least become more acceptable to talk about ROI for investments in education technology. As discussed in detail in this blog – Lets Talk About Money – the idea of at least attributing “cost per unit learned” to investments should have become standard practice by now.

Personalised learning

For at least 10 years, the goal of personalized learning has been talked about, pursued as a strategy, dropped when found too hard to execute, and then talked about again. So, could 2012 be the year when personalizing learning at scale begins to take off?

I’m optimistic that we’ll see some progress in this space this year, because Personalising Learning can address so many of the problems that schooling currently faces. When we also add the learnings that we now have from games-based-learning, neuroscience and Artificial Intelligence (see Artificial Intelligence in Schooling Sytems) we seem to have all the technical building blocks in place. Personalised Learning also fits the trend towards consumerisation really well.

Think of Personalised Learning from a student’s perspective as “My Learning My Way”. To get to My Learning My Way, there are several key elements:

My technology my way

As discussed in detail in the BYOD/C article, the emergence of low cost technological supplements and alternatives to institutional “instruction” is growing at an increasing pace. Yes, the state will always have a role in providing a “base level” of appropriate technologies for learners, but the reality is that students across the world are “doing it for themselves”, learning on their own devices using software and learning services of their own choice.

The biggest challenges in this area are to ensure equality of access to opportunties, and stopping the adoption of “lowest common denominator” technologies, learning applications, services and devices.

My pathway my way

Learning can be said to be ‘personalised’ when students have a unique set of pathways through their learning. Clearly, at early stages younger learners need a lot of adult support with learning decisions, but as learners progress through their schooling they need to become more independent – and that independence can be supported with technology. Personalised Learning is a characteristic of the Transformed Phase of schooling and discussed in the “Transformed Phase” of this blog.

For personal learning pathways to work well, three key problems need to be addressed:

Firstly, assessments – both high and low stake – need to be ported into the electronic domain. Increasingly we’re seeing this happen. In Norway, for example, national tests at level 5, 7 and 9 ++ and exams in upper secondary and now administrated electronically.

Secondly, data from assessment and ongoing learning tasks needs to be used to make effective decisions about what learning tasks need to be undertaken, and when. The resulting learning pathways need to be challenging but achievable and “in tune” with how individual students learn.

Thirdly, the difficult problem of Dynamic Timetabling needs to be solved. This is where the time students spend in formal schooling is determined not by a pre-determined matrix of subjects and timeslots allocated according to age and classes, but by a system that matches their precise learning requirments against the resources needed to meet these. The problem can, to a point, be addressed through CRM, but it will take an evolution in schooling management techniques as well as technology developments to solve this problem.

My content my way

The model of purchasing standard textbooks for all students must surely come under more intense questioning in 2012. Companies such as Triba Learning from Finland are offering fascinating glimpses of new models where data and algorithms are used to generate value. Triba uses data to segment students into increasingly granular groups that exhibit similar learning dispositions. Powerful algorithms are used to analyse how they best learn and select appropriate content. School districts save money through using this system to purchase only the content that best fits the learner’s requirements – as opposed to having to buy large sets of books which may only ever be partially used.

Content itself needs to change radically too. “Our high school kids are fantastic teachers,” said Professor Harry Kroto, talking at NEST 2011 about the GEOSET project, in which students record lectures that can be freely accessed online. Creating content leads to more learning than merely consuming content, so “atomising” content into building blocks that can be reassembled into customised materials by students and teachers is a clear way forward.

Whilst content and learning sofware has evolved to accommodate visual, auditory and kinesthetic learning styles, the next frontier is the use of neuroscience to make learning more engaging. We are learning more about the science of learning, and how to drive the motivation to learn. Emerging game-like learning software makes use of the individual’s natural reward system which helps them to learn which action has the most valuable outcome. Software can be designed to emulate a teacher who constantly adapts to current learner understanding. Thus software can enable far more effective learning than is often possible through one-to-one teaching.

My data my way

The standard way of looking at student related data is that it should be “owned” by the institution. But to get to truly personalised learning there needs to be a paradigm shift – one that is prepared to accept that the ownership of the data resides with the student, and their parent or gaurdians.

A similar idea sits behind Microsoft’s “Health Vault”. This CRM based solution enables individuals to store their own health records in the Cloud and then grant access to these records to trusted people – doctors/relatives etc. Health Vault has evolved into a platfrom with an online marketplace for applications and even USB devices that can be used to monitor and manage health issues. This idea isn’t new in education though – e-portfolios have long been based on similar principles.

For school students, it would be essential to integrate personally held data with the data held in formal schooling institutions. According to Stephen Coller from the Gates Foundation, its not possible to build large scale data driven solutions without going through formal schooling data systems and subsystems. For example, to integrate with class rosters, enrollment systems have to be accessed. According to Coller, there needs to be:

  • A unifying middle layer that eliminates the need for solution providers to integrate with each school’s systems

or

  • a trust framework and ‘digital locker’ that gives users control over their own data and records

and

  • A badging or certificate framework that spans formal and informal learning

When thinking about large scale data systems, the question is whether exisiting data is sufficiently rich or accessible enouhg to justify the huge efforts required to get more than a basic dataset shared between the stundent and the institution, or whether it would be easier to rearchitect the entire system from scratch based on the new paradigm.

Either way, a core problem which needs to be solved in this area is “Micro Federation” – ie the concept that a student with their own “digital locker” can grant and control access to that data to trusted 3rd parties. The benefit to the institution is access to data to help decision making at micro and macro levels. The benefit to the student is having their learning supported in ways that may have been difficult to achieve otherwise. To achieve Micro Federation, there are some key areas that need to be addressed including:

• Privacy

• Security

  • Authorization
  • IDs and authentication
  • Encryption

• Transaction models

• Interaction models

• Interconnection technology

• Interfaces

National Education Networks

Greater personalization requires improved interoperability between data, content, assessments and applications. But to scale personalised learning, we need to be able to solve big problems in the areas of data management; decision automation; individualised learning pathways; and content. To do all this requires National Education Networks (NEN). The purpose of an NEN is to:

  • Improve data flows for the benefit of students, within and between end-users and schooling institutions, regionally and nationally.
  • Provide a stable platform for learning and innovation based on interoperable systems
  • Reduce the technical burden on schools, allowing them to focus on the use of technology in teaching and learning rather than its management

Few countries have built NENs, but the UK is one country that has. In 2004, the BECTA – the British governments ICT agency – produced detailed plans for a national level network infrastructure for schools. This became the National Education Network – http://www.nen.gov.uk/

So what are the key problems that need to be solved in building a National Education Network? Firstly, a National Education Network should have three architectural layers:

  • Services
  • Interfaces
  • Infrastructure

Services

The services layer should define the outcomes required from the NEN. Key questions that need to be addressed are:

  • What services do we want the NEN to deliver?
  • To whom and when?
  • At what costs and return on investment?

This leads to functional decisions about three key elements – interfaces that expose the functions of one system to other systems; what operations are performed within a service function; what messages are inputted and outputted from service operations.

A well-designed NEN should provide a services platform on four levels:

  • Connectivity services linking all elements of the model together, safely and securely connecting end-user stakeholders to the internet and wider educational community
  • A marketplace for institutions and individual students to purchase and consume learning services including content; personalised learning management systems; and management information system
  • Data services including data warehousing, management information systems (MIS) and a range of data mining tools
  • An R&D “sandbox” using anonamised data about learning to enable software entrepreneurs to build ever more effective personalised learning solutions

Interfaces

An interface is a shared boundary across which information is passed. In an ideal NEN students own the data, and share selective parts of it with schooling systems, Local Education Authorities/Municipality/State, the Ministry of Education, parents/guardians and ultimately prospective Higher/Further Education institutions or even employers. Different stakeholders would need different information – the Ministry of Education, for example, would need much less information than the school.

For data to move effectively across the system, trust relationships need to exist between these boundaries. In a NEN, interfaces can be specified to manage the flow of data; monitor status; manage assets; and even control devices.

Defining interfaces trust relationships, and data exchange methods across a large population may be complex, but it offers huge potential in terms of increased effectiveness and cost savings.

Infrastructure

The Physical Network component of an NEN has multiple layers and requires at least the following to be designed:

  • Infrastructure
    • Access models – radio and television, digital devices, computing
    • Topology, IP addressing, naming
    • Plumbing, traffic routing
    • Storage
    • Network control
    • Security
  • Establishing Physical Security
    • Creating a secure physical boundary for critical communications equipment
    • Protecting the Network Elements
      • Securing routers, switches, appliances, VoIP gateways and network devices define network boundaries and act as interfaces to all networks
      • Designing the IP Network…
        • … based on sound IP network design principles
  • Directories and Control
    • User directories
    • Asset catalogues
    • Identity management
    • User management

A comprehensive design blueprint for a National Education Network is the BECTA specification for the UK’s NEN.

NENs for Personalised Learning

The ultimate goal for a NEN is to enable personalised learning at scale and cost-effectively. For that to happen several “moving parts” need to synchronise. At the start of the cycle, data about learning is used to present students with appropriate learning opportunities through tailored content. Students progress through these tasks through individual pathways. As they do, they generate data and different aspects of that data are used by different stakeholders for different reasons. The data is managed and communicated via the National Grid for Learning, and the marketplace platform within the NEN acquires appropriate content for the learner’s on-going learning process, starting the cycle over again.

Standards

Take a NEN with interfaces across the 5 boundaries described above. If each boundary handles 10 different types of data, then roughly speaking there are 105 (100,000) “sub-interfaces” that have to successfully connect to make the system function properly. The complexity increases dramatically when you add complexities such as data formats and exchange methods.

To reduce complexity in NENs, standards are a key consideration. I say a “consideration” rather than “the answer” because there are two different perspectives to take into account.

From a vendor point of view, standards can get in the way and increase costs. Typically, solution developers will build large scale Schooling Enterprise Architectures up to LEA or even state level, but rarely at national level. At these levels vendors generally find it easier to not have to conform to standards as this gives them freedom to design information systems to their own specifications and re-use IP and technologies from other similar projects.

From a NEN commissioning body (e.g. Ministry of Education) perspective, standards that are open and not driven by vendors are a key way to reduce their overall costs and complexity. For example, a NEN will require the integration of separate datacentres at municipality/LEA/State levels. Without standards, proprietary interfaces must be reworked for each new system added. It is simply easier if everyone does it the same way; so each datacentre should require just one standard interface which:

  • Standardizes the dialogs, messages, and data elements
  • Standardizes user interfaces to the system
  • Allows a single external interface with different agencies, enabling cooperation and coordination between them

Standards need to deliver value at both macro and micro levels. Standards that are developed at the national level may include information that local systems will not use. On the other hand, standards may need to be supplemented with additional information to meet local needs.

A noteworthy national level IT infrastructure for public services is the National Transportation Communications (NTCIP) system in the US and there is much that is transferable from NTCIP to the design of NENs. NTCIP is a set of standards for interoperability between computers and electronic traffic control equipment that covers the US and is now being adapted for implementation in other countries. A key to the success of this is system is how standards are integrated into the model. For example, for a system to be a part of the NTCIP “Management Information Base”, a set of mandatory objects are required, but to enable local adaptation, specified optional objects are permitted. To minimise cost, risk and complexity, the NTCIP Management Information Base is public, not proprietary.

Education has a long way to go to catch up with how NTCIP uses standards.

Key challenges in building NENs

There are many major challenges to building NENs including:

  • Selecting and building an appropriate framework of international standards and prescriptive methodologies, and ensuring public ownership of the overall model
  • Data aggregation and interoperability
  • Reconceptualising NENs to put the student at the centre

National Education Networks are certainly complex, but with the methods and standards now available, and the overall gains that they can bring there is every reason to expect to see an increasing number of national level education network projects in and beyond 2012.

Technology Trends in 2012

IT organizations must balance security against access, and meet the growing expectations of individuals who are more technology-savvy than ever before. As consumerisation grows and budgets get cut, IT leaders in education are becoming increasingly open to leveraging personally owned devices and external Web 2.0 services as well as to delivering information and services beyond their physical campuses.

This is shaping what IT and digital services will increase in significance in 2012, as summarised in the table below:

Enterprise computing Consumer computing
Wireless aaS Social-Learning Platform for Education
Federated Identity Management Windows-Based Tablet PCs
SIS International Data Interoperability Standards E-Textbook
Hosted Virtual Desktops Social Media in Education
Cloud Email for Staff and Faculty E-Portfolios
Unified Communications and Collaboration Mashups
CRM Lecture Capture and Retrieval Tools
BYOC strategies Media Tablets

At the NEST conference in Hong Kong, Facebook Co-founder Chris Hughes pronounced that “the textbook is dead”. “In the next five to seven years, the textbook is no longer going to be the basic building block of education.”

The challenge for education institutions in 2012 is to treat the pending changes as an opportunity and navigate into the future, making sound decisions that focus on learner achievement, and develop strategies and adapt organizational structures that embrace a world of choice.

The challenge to the education technology industry in 2012 is to ramp-up proofs of concepts that demonstrate how technology can viably personalise learning on a large scale.

A Chinese proverb says, “May you live in interesting times”. In the world of education technology, 2012 should prove to be a very interesting year indeed.

Happy New Year!

Putting the “i” into Singapore Schooling

With top rankings in PISA and TIMMS, Singapore is the envy of many schooling systems around the world. Whilst ICT is just one of a range of factors that affect learning outcomes, it is a key tool for meeting at least two of the four key desired outcomes of the Singapore schooling system – for all students to become self-directed and collaborative learners.

Singapore was one of the first countries in the world to have a national strategy for ICT in Schools. A succession of well-planned, funded and executed programmes focussing initially on infrastructure and training, and more recently focussing on self-directed learning – has driven effective use of ICT. For details of Singapore’s main ICT projects, see http://wp.me/P16Iyp-46

A great showcase for the effectiveness of this investment is Crescent Girls’ School, a member of the “Future School” programme, and recently awarded the status of Mentor School by Microsoft. Crescent also hosted the CRADLE conference on 1st – 3rd August.

On the surface, Crescent could be any other Secondary School, but a quick glance at the trophy cabinet next to the reception makes it clear that this school is totally committed to high performance. Crescent’s aim is to be at the forefront of harnessing technology to enhance learning outcomes. ICT is used extensively in both delivery and assessment and the school’s 1300 students each have their own Tablet PC. The goal of using ICT is to give students a degree of choice over what they learn and how they learn.

The students engage in a wide range of activities including 2D, 3D animation and robotics; multimedia production; photo-shooting and editing; and development and use of e-books. Particularly impressive is the use of Tablet PCs’ “inking” features for a range of activities including highly impressive manga artwork.

Crescent is moving towards project based learning with a series of “Integrated Secondary Curricula” programmes.

Virtual Reality is used at the school too. For example, in Geography, students experience immersive content showing erosion in a river – a concept that is much easier to grasp when viewing 3d animated rocks being swept along by the current from the perspective of the river bed.

Particularly impressive at Crescent is the way that teachers engage in the content creation process. For example, a complete suite of applications and content have been developed for the Tablet PC that not only exploits the pen and inking technologies but also address a range of different learning styles.

Taking this process further, teachers specified collaborative games to take advantage of the MultiTouch features in Windows 7 and HueLabs’ “Heumi” multitouch (Surface) devices. This means that students can now engage in a wide range of collaborative learning experiences, such as learning to write Chinese. As impressive as the technology itself is the way in which the room in which the Heumi devices are deployed. Here, in the “iCove”, strong colour coding of the devices and the seating, enable teachers to group learners according to their learning objectives.

More recently the school has introduced a biometric system that not only automatically records the students as present but takes their temperatures as they come into the school in the morning, enabling their health to be monitored.

The infrastructure that sits behind Crescent’s ICT provision is highly impressive. The infrastructure foundation is a Campus-wide wireless network with 100 Mbps Broadband. Tablet PCs are stored in steel lockers, and batteries are charged at charging stations.

Approximately 30 on-premises servers perform a range of essential back-end functions from authentication to content management. The Server infrastructure – based on a Microsoft platform – supports a rich tapestry of capabilities including:

  • i-Connect Learning Space – a role based portal for organising student’s learning and activities
  • Pearson’s Write to Learn – a system that helps “automate” the marking of essays
  • HeuX – Huelabs Classroom Management System – with lesson management, digital book library, real-time Communication and Collaboration include notes-sharing and social media; screen monitoring and broadcasting; Presence awareness; attendance; Video Conferencing
  • i-Media – content management system.
  • Interactive books

These solutions are supported by Windows Server; SQL Server; Microsoft SharePoint Portal Server; System Center; Live Communications Manager; Hyper-V and Live@Edu. Much of the learning that takes place at Crescent happens after school hours, and the Virtual Private Network enables students to have 24×7 access. It’s not uncommon to see the portal being used by students at home at 2.00AM.

Singapore schools benefit from very high quality teachers (only 10% of applicants get admitted into teacher training). This is reflected in the staff at Crescent. Principal, Mrs Eugenia Lim, supported by Chief Technology Architect for Learning, Mr Lee Boon Keng, have a highly structured and team orientated approach, underpinned by a strong focus on continuous professional development.

Every hour, the chimes of Big Ben ring across the school signifying a change of lesson. As with Cornwallis School in Kent in the UK, I was totally inspired by what I saw at Crescent but couldn’t help wondering whether a shift from time-based to a performance-based model would better fit such a technology rich approach to learning. Nonetheless, Crescent’s use of ICT is without doubt world leading.

Whilst Crescent Girls’ School is clearly a leader amongst leaders, it’s far from unique in Singapore in the way in which it innovates with technology. Singapore schools benefit from long term, consistent policy and investment in ICT in schooling. With their structured approaches, strong management and deep understanding of how ICT can make learning more effective, Singapore schools look set to continue to show the world how it’s done.

Fortunately for us all, Crescent Girls’ School are “giving back” by encouraging people to visit the school – both physically and virtually.

Thanks to Eugenia Lim, Lee Boon Keng and all the staff and students at Crescent Girl’s School.

Cloud Watching #4 – Managing Learning Content

In the old days it was simple. Agree a curriculum; approve and distribute the books; get teachers to push the contents into empty minds.

Since then everything has changed, especially:

  • The need for students to learn more effectively
  • Student’s appetite for active rather than passive learning experiences
  • Explosive growth of content and ease of access to it

So what does all this mean for learning content, and how it gets managed? On the one hand it could mean chaos as schooling systems deal with extreme complexity – infinite permutations of content types, authoring, storage, categorization, search, access, retrieval, and rendering methods. On the other hand, managed properly, it means the right content built or used by the right person at the right time – making learning significantly more effective. The ease with which ideas, concepts and knowledge are acquired by learners is a function of the availably of engaging learning content and how it is used, so managing content effectively is critical to improving learning effectiveness.

It’s no longer sufficient to think of learning content as a one-way street terminating in the minds of “empty headed” learners. It’s pretty clear that learning is much more effective when students create content rather than just consume it, and the proliferation of easy-to-use content development tools means that students themselves can produce professional standard learning content.

Given the explosion of web content and ease of access to it, the role of publishers is changing quickly too. Publishers have long been considered bastions of authoritative content, but back in 2005 Nature Magazine concluded that Wikipedia and Encyclopedia Britannica were virtually equal in terms of the accuracy of their scientific articles. The challenge for publishers now is to be authoritative, relevant and engaging – not just providing the answers but the conditions in which learners construct their own answers. Learning content has to become much more interactive, immersive, challenging and fun, and it also has to connect to systems that enable intelligent intervention, manage the learning process, and provide analysis.

Schooling systems are faced with bewildering choices when it comes to architecting Learning Content Management Systems (LMCS), so a good place to start is with some questions about what outcomes should be expected from investments in this space. E.g. how do we:

  • Manage content to ensure that the most effective learning takes place
  • Exploit content creation, management, and consumption technologies
  • Leverage new models of content production
  • Ensure that publishers can maintain profitability and invest in R&D
  • Minimise costs and maximise the “Content Economy”

To help frame this discussion we can look to the work of Microsoft Research and their Higher Education project entitled “Technologies for the Scholarly Communications Lifecycle”. Here they describe six distinct areas for supporting the lifecycle of scholarly content. Adapting this for managing learning content within a Schooling Enterprise Architecture we arrive at the following model:

Figure 1. Learning Content Lifecylce for Schooling Enterprises

But before we go any further, what exactly do we mean by learning content?

WHAT IS LEARNING CONTENT?

At one end of the spectrum there are widely available digital entities from which someone can learn – from sophisticated Silverlight or Flash applications to video clips to plain text. At the other end of the spectrum there are highly structured learning content packages designed to meet specific learning objectives.

A key concept in learning content is the “Learning Object” – a self-contained package, with a clear educational purpose containing –

  • Learning content – digital entities including text, images, sound, video
  • Learning tasks
  • Interface to a workflow system so the next learning task can be appropriately set
  • The means by which to assess what learning has resulted
  • Metadata including – learning objective; prerequisite skills; topic; the “interaction model”; technology requirements; educational level; relationships to other learning objects; rights

Ideally, it should be possible to:

  • Edit a Learning Object so it can be tailored to precise requirements
  • Group it into larger collections of content, including longer course structures

Conveniently, there is a standard for how learning objects should be constructed and used. The Sharable Content Object Reference Model (SCORM) is a standard that defines communications between content learning management systems, and how a learning object should be packaged into a transferable ZIP file. (See below for further details).

Advances in technology are also changing views about what actually counts as content.  For example, it could be argued that threads of dialogue through blogs, wikis and instant messaging are forms of content production.

CREATING LEARNING CONTENT

The old steps-and-stages, linear, age-cohorts and classes-dominated, subject-orientated curriculum is being superseded. Its successor is a “Thinking Curriculum”, based on a search for knowledge, on developing competencies rather than consuming content. The Thinking Curriuculum is information rich, multi-layered, and connected.

With the creation of high quality content relatively easy to accomplish, we have to ask a fundamental question – “who gets to produce learning content?” As explored in “High Performance Schools” a key way to get effective learning is to get students to create their own content then get peers to review it. With cheap webcams; basic video editing software; drawing, graphics, and productivity software; web development and portal tools, its increasingly easy to get great results from this approach.

There will always be a role for professionally produced, authoritative content. However, the world of publishing needs to embrace the idea that students and teachers will increasingly want to build their own learning resources from individual learning objects, in much the same way as building models using Lego®.

MANAGING CONTENT

There are essentially two types of content – structured and unstructured. Structured content is that which has been classified, and stored in a way that makes it easy to be found and used. Unstructured content is all other content.

Imposing structure and order on the exponentially expanding unstructured world of user-generated content is a major challenge for all organizations.

 

Figure 2. Unstructured content grows exponentially

Key concepts in Content Management include:

  • Document Management
  • Web Content Management
  • Rich Media Management
  • Archiving and Library Services
  • Scanning (Image and Capture)
  • Document Output Management
  • Workflows
  • Learning Process Management

Learning Content Management Systems (LCMS) help schooling systems organise and facilitate the collaborative creation of learning content, providing developers, authors and subject matter experts the means to create and use learning content. They enable the management of the full life cycle of content – from initial creation to consumption and re-creation by end users. They feature repositories, library systems, curriculum frameworks, curriculum systems, curriculum exemplars and resource assemblers.

A LCMS enables:

  • Efficient search and retrieval
  • Ease of authoring across a learning community
  • Rapid customisation for various audiences

An LCMS should enable seamless collaboration between subject matter experts, designers, teachers, and learners. It should enable content to be made available through a wide array of output types – such as structured e-learning courses, lesson plans, single learning objects – and output devices such as PC, phone or TV.

Learning Content Management Systems differ significantly from Learning Management Systems (LMS) in as much as an LCMS should be used to “feed” content to one or more LMS.

Figure 3. LCMS feeds learning content to LMS

Key LCMS Functions

Based on the Association of Information and Image Management’s specifications, a Learning Content Management System should have the following features and functions:

Categorization/Taxonomy

A taxonomy provides a formal structure for information, based on the specific needs of a schooling system. Categorization tools automate the placement of content (learning objects, documents, images, email, text etc) for future retrieval based on the taxonomy. A key question is who is responsible for and allowed to categorise content, and edit the categorisation data?

Indexing

Additional meta-data supporting information retrieval – this can be based on keywords or full-text.

Document Management

Document management technology helps organisations better manage the creation, revision, approval, and consumption of documents used in the learning process. It provides key features such as library services, document profiling, searching, check-in, check-out, version control, revision history, and document security.

Web Content Management

This addresses the content creation, review, approval, and publishing processes of Web-based content. Key features include creation and authoring tools, input and presentation template design and management, content re-use management, and publishing capabilities.

Digital Asset Management (DAM)

Similar in functionality to document management, DAM is focused on the storage, tracking, and use of rich media documents (video, logos, images, etc.). Digital assets typically have high intellectual property (IP) value.

Repositories

A repository can be a sophisticated system that costs hundreds of thousands of dollars, or a simple file folder system. The key is to have information that can be found once it is placed in the system.

Syndication

Distribution of content for reuse and integration into other content.

Personalization

Based upon data about student learning history, their learning styles and what they next need to learn, types of content and specific learning objects can delivered to best match the student’s needs.

Search/Retrieval

One of the greatest benefits of a well architected LCMS is the ability to get out what you put in with the minimum of effort. Indexing; taxonomy; repository services; relevance; and social cues should make locating specific content in a schooling system easy. Search functions should include:

  • Best Bets
  • Metadata-based Refinement
  • People and Expertise Search
  • Recently Authored Content
  • Defined Scopes
  • Focused Search – site, local, enterprise and web
  • Taxonomy and Term Store Integration
  • View in Browser

Infrastructure Technologies

Supporting these functions are core infrastructure technologies including:

  • Storage
  • Content Integration
  • Migration
  • Backup/Recovery

DRM

Protecting copyrighted content is essential to drive a vibrant “Content Economy”. Ensuring that creators of content get what they deserve for their work is a cornerstone of the Knowledge Economy – the development of which is the aim of many governments. DRM does this by encrypting content to limit usage and copying to limits agreed between the publisher and the customer.

EXPOSING CONTENT

Producing content and storing it is relatively easy, but organizing it to make it easy to find is an altogether different matter. People in large enterprises spend huge amounts of time looking for content, and making it easier to find specific content in schooling systems is core to making them more effective.

Search can help, of course, but the key to making content easy to find is in structuring it well. There is no one right answer for this, but one way of thinking about it is to start by categorising people first and then categorising the content:

Communities

Ideally, content should be exposed to people according to what role they have in the organisation – this is known as “role-based” knowledge architecture. A teacher, for example, should be able to access different content to learners.

Sites

Once communities of users have been defined, sites can be created to serve their specific content needs. Sites are aggregation points for a mix of types of content and methods for surfacing this content.

Libraries

Within a site there can be several libraries, each one categorising content by subject, topic, phase of learning, etc. Categorised content should contain metadata making it easier to find what the user is looking for.

Galleries

For more visual content, it may be easier to flick through a set of images for the user to find what they are looking for – galleries provide this function.

Wikis

A wiki is a website that allows the collaborative creation and editing of interlinked web pages via a browser. This technology has been around for at least 15 years, but its use as a general teaching tool is still in its infancy. However, an increasing number of universities are now adopting them as a teaching tool – see http://www.nytimes.com/2011/05/02/education/02iht-educSide.html?ref=education.

Blogs

Personal spaces for building and publishing content such as blogs or “MySites” give users a way of quickly exposing their thinking to a wider audience to express viewpoints and get feedback.

Figure 4. Structuring content starts with classifying users

LEARNING CONTENT MANAGEMENT ARCHITECTURES

Key Concepts

Roles

A key starting point in architecting a LCMS is determining who the users of the system are and what roles can be assigned to them.

Across the schooling enterprise publishing house staff, experts, teachers, teaching assistants, administrators, students, even parents could all – in theory at least – take on one or more of these roles:

  • Creator – responsible for creating and editing content.
  • Editor – responsible for tuning the content message and the style of delivery, including translation and localisation.
  • Publisher – responsible for releasing the content for use.
  • Administrator – responsible for managing access permissions to folders and files, usually accomplished by assigning access rights to user groups or roles. Admins may also assist and support users in various ways.
  • Consumer, viewer or guest – the person who uses the content after it is published or shared.

Questions raised by the SULINET experience, suggest the following considerations:

  • Who is the principle audience – teachers, students, parents?
  • Who can publish – teachers, students, parents, experts, 3rd party publishers?
  • What incentives are there to encourage contributions?
  • How will Quality Assurance work?
  • What about peer review/rating systems?
  • Should all contributors be allowed to create, publish or edit a Learning Object?
  • Who is the legal owner of a Learning Object – teacher, school, and district?
  • How will logical groupings work? Is it possible/desirable to have national level admin and users, or should groupings work at lower levels such as:
    • District or conglomerate of schools
    • Individual School
    • Grade levels (Eg Year 10)
    • Subject areas (Eg Maths)

Standards

Another key consideration is the role of standards. There are many standards covering content, and the following are the key standards specifically designed for learning content:

SCORM – Sharable Content Object Reference Model – is a collection of standards and specifications for learning objects (Shareable Content Objects, or SCOs). It defines communications between learning objects and a host learning management system. SCORM also defines how content can be packaged into a transferable ZIP file called “Package Interchange Format”. SCORM defines:

  • Content Aggregation Model
  • Runtime Environment
  • Sequencing & Navigation

IMS Global Learning Consortium is concerned with establishing interoperability for learning systems and learning content. IMS publishes specifications for content packaging, enterprise services and digital repositories.

Dublin Core. Defined by the International Organization for Standardization (ISO) The Dublin Core provides metadata descriptions for most learning resources – digital and physical – so they can be described and catalogued. Implementations of Dublin Core typically make use of XML.

CDN

A content delivery network or content distribution network (CDN) caches data at various nodes of a network. A CDN can improve access to the data it caches by increasing access bandwidth and redundancy and reducing access latency. Data content types often cached in CDNs include web objects, downloadable objects, applications, realtime media streams, and database queries.

Blobs

A blob (alternately known as a binary large object, basic large object, BLOB, or BLOb) is a collection of binary data stored as a single entity in a database management system. Blobs are typically images, audio or other multimedia objects, though sometimes binary executable code is stored as a blob.

Scenarios

In the simplest model, the “industrial schooling” approach of pushing book based content into the “empty minds” of learners is digitized:

1. Government sets the curriculum

2. Publishers convert curriculum into content

3. Schools buy content

4. Teacher delivers content

5. Students receive content

Figure 5. Top down approach has limited effectiveness

The SULINET example featured earlier in this blog offers a more sophisticated, “connected learning community” approach. Here, reusable combinations of learning units are stored in a central database. Classification, and the use of metadata and sophisticated enterprise search, makes it easy for users to locate and retrieve content. The smallest digital objects can be independently used or combined together to form learning objects. A curriculum editor application enables users to develop their own learning content.

Extending this further still, in the model below the central repository is connected to external content publishers, online content market places and the worldwide web.  It exploits Cloud technology to drive out infrastructure and management costs; enable flexible scale; and increase reliability and speed.

1. Publishers research and develop new learning packages and make these available for different learning styles

2. Teachers look for materials for specific learning opportunities, and assemble objects into packages for students

3. Teacher assigns learning packages to students

4. Students work in teams to create new content from learning packages

5. Students submits assignment to teacher

6. The best new content from teachers and students gets added to content repository

7. The repository receives content through online market places and the web

8. Standards and processes are overseen by curriculum content committee which uses data to make editorial decisions

Figure 6. An integrated “learning content economy”

Conceptual Design

Converting this usage scenario into a high level conceptual design, we can break down the key processes into three chunks – Creation; Management and Consumption. As discussed at the outset, however Consumption and Creation should increasingly be seen as part of the same process – ie learning is part-consuming and part-producing content.

Figure 7. Conceptual design for a Cloud based Learning Content Management System

Key Products

Creation

Technologies such as Expressions, Visual Studio, and the Adobe Creative Suite are used extensively by professional content developers. DreamSpark is enabling a growing number of students to produce professional quality content too.

Management

Windows and SQL Azure

In the above Schooling Enterprise Architecture Learning Content Management model the core Cloud based content management technologies are Windows and SQL Azure, and the following features are exploited:

  • Compute is a service which runs managed applications in an Internet-scale hosting environment.
  • Storage stores data including blobs – large binary objects, such as videos and images.
  • AppFabric manages users’ permissions and authenticated use of web applications and services, integrated with Active Directory and web based identity systems including Windows Live ID, Google, Yahoo! and Facebook.
  • Content Delivery Network – places copies of web objects (images and scripts), downloadable objects (media files, software, and documents), applications, real time media streams, and other components, close to users. This results, for example, in the smooth streaming of video to Silverlight and Android clients without requiring any software development, management or configuration.

Figure 8. Windows Azure CDN speeds up delivery of content

  • Marketplace – data, imagery, and real-time web services from leading commercial data providers and authoritative public data sources. The Windows Azure Data Marketplace will also contain demographic, environmental, weather and financial datasets. An Application Marketplace will enable developers to easily build applications for Azure.

SQL Azure can also be exploited to provide the following services:

  • Database relational database, providing services to multiple organisations.
  • Data Sync – synchronisation between an organisation’s current SQL on-premises databases and SQL Azure Databases in the Cloud.
  • Reporting – a complete reporting infrastructure that enables users to see reports with visualizations such as maps, charts, gauges, sparklines etc.

Live@Edu

Live@Edu provides a suite of communication, collaboration and storage services for students. It also provides a single account and password for access to many Microsoft Cloud services including Windows Azure. Later this year, Live@Edu will be superseded by Office 365 for Education.

SharePoint Online

SharePoint Online offers a core set of Content Management capabilities including:

  • Document Management
  • Collaboration (team sites), Extranet
  • People Search
  • Content Search
  • Social Computing – including wikis and blogs
  • Publishing Portal (custom theming/branding)
  • Rich Media Management
  • Data Visualization
  • Workflows

 

Figure 9. Through SharePoint, end users get a “control panel” for consuming and creating learning content

Through the SharePoint portal, end users can quickly find the learning content they need, consume and create new content with others, and publish this to a wider connected learning community.

Consumption (and recreation)

Silverlight

Silverlight is a great way for learners to experience learning content. A free, cross-platform browser plug-in, Silverlight is designed for Web, desktop, and mobile applications – online and offline. It supports multimedia, enhanced animation, webcam, microphone, and printing.

Microsoft Learning Content Development System (LCDS)

LCDS is a free tool that enables users to create interactive, online courses and Silverlight learning objects. It can be used to create highly customized content, interactive activities, quizzes, games, assessments, animations, demos, and other multimedia.

Office

PowerPoint is the most widely used content creation tool in schools, and many schools create highly interactive and challenging content with it, eg: see this archive at the University of North Carolina Wilmington

MediaWiki extension for Word allows learning materials developed in Microsoft Office to be saved directly to MediaWiki-based repositories such as WikiEducator.

To create SCORM objects with relatively low levels of technical skill, Hunterstone’s Thesis “Light” is available as a free download with Learning Essentials for integration into Microsoft Office for easy application of the (SCORM) learning content standards to Office documents.

OneNote

Whilst designed as a personal productivity application, OneNote isn’t an Enterprise wide content management solution – however used in the right way, it can be a quick and cost effective way to enable content development, management, search and retrieval amongst small, distributed groups. For example, a teacher could have a “master” OneNote file held on a Windows Live SkyDrive site (in the Cloud). This can contain several “books”, each book sub divided into classes with learning content – videos, links, text etc. Each class can then be further subdivided with an area for each learner. In this way, a Science class – students and teacher, for example, can collaborate with Science classes in other schools.

 

Figure 10. OneNote enables small-scale learning content management

Looking to the Future

HTML 5

The next version of HTML – a language for structuring and presenting content for the World Wide Web – will have profound implications for how learning content can be consumed. It will encourage more interoperable learning content solutions, and will make it easier to include and handle multimedia and graphical content on the web without having to resort to proprietary plugins and APIs.

Conclusion

Providing students with the right kind of learning content at scale is a critical component in making schooling more effective. It’s no longer sufficient to think of content systems as delivery mechanisms, rather they should be thought of as integrated “learning content economies” where learning value is added by all participants and stakeholders. Cloud computing can help facilitate this new approach, driving down costs, increasing connectivity and collaboration, and enabling scalable, flexible and highly available learning content management systems to emerge.

Thanks to David Langridge, Brad Tipp and Sven Reinhardt for support in writing this article.

Cloud Watching #3 – Managing Student Relationships

How could junk-mail and schooling effectiveness possibly be linked? The answer is “CRM” – Customer Relationship Management software. CRM is now firmly entrenched across a vast spectrum of businesses as a way of managing sales and marketing relationships with customers. Anyone possessing a loyalty (rewards or club) card will have their purchasing behaviours tracked by CRM, which then automatically triggers direct marketing activities such as special offers and tailored messages. But CRM is being increasingly used to support the learning process too.

Derivatives of CRM – known as XRM solutions – have been developed for a range of sectors. In healthcare for example XRM is used for a range of activities such as notifying patients of upcoming appointments and how to manage their illnesses.

As the schooling process is getting more data driven we are seeing a sharp increase in the use of CRM in education too. SRM – adaptations of CRM for students – i.e. Student Relationship Management, is rapidly on the increase.

SRM has been extensively used in Higher Education for a long time for a variety of purposes – e.g. implementing targeted marketing campaigns to prospective students and alumni. SRM is used in HE to support enrolment and to track financial matters such as the payment of fees. For similar reasons, SRM is also used extensively in private schooling.

In Brazil, Gestar—an independent software vendor—built an SRM system for private schools that not only handles the administrative “mechanics”, but academic matters too. The objective was to apply the concepts of “marketing one-to-one” to the complete relationship cycle with students – from the initial recruiting process to completion of school and beyond. By gathering and using the information generated in Management Information System (MIS) and Learning Management System (LMS) – eg attendance and individual assessments – it was possible for the schools served by Gestar to improve their effectiveness.

In schools using the Gestar SRM system dropout rates are reduced by cross-checking data across a range of “risk factors”. This makes it possible to identify students at risk of dropping out, and this automatically triggers processes such as setting up interviews, identifying the causes of dissatisfaction, and aligning the student’s objectives with what the school can offer.

Through linking with the LMS, SRM is able to determine if students are accessing the e-Learning tools, completing assignments within given deadlines, and if they are satisfied with their learning activities. Through automated workflows, “intelligent intervention” can be used to address specific problems.

Pre-defined workflows and escalations, in some cases completely automated, make it easier for a teacher to be more “granular” in how they address students’ individual needs. The benefit for the teacher is that their administrative burden is reduced. The benefit to the student is that they get a more personalised service.

So, as SRM is based on software used to manage sales and marketing, a key question is “what is the difference between a learning programme and a marketing campaign?” The answer, actually, is “not a lot”. The mechanics are very similar – place people into groups according to what you want them to learn or do; then step them through a series of linked actions until the goal is reached; then recycle the data to make ever improving interventions.

Another company offering SRM solutions for schooling systems is UK company lookred®. Working with New Line Learning Academy (NLL) – a consortium of public schools – in Kent, UK, founders Chris Poole and Matthew Woodruff had the innovative insight that it’s practically impossible to personalise relationships with thousands of students without using technology. To meet the goal of tailoring learning experiences for all students in the NLL consortium, Chris and Matthew designed a solution centred on SRM and the extensive use of Business Intelligence software.

Crucially, Chris and Matthew made the link between SRM and Intelligent Intervention. This involves setting up a set of “risk factors” that may affect learning performance, finding students who fit the risk profile, and then intervening through goal orientated actions. Imagine, for example, that a school has found that those students with the lowest reading ages perform the worse in examinations, then clearly reading age can be considered a risk factor. The same could be said for other attributes such as attendance, behaviour, or socio-economic factors.

To illustrate how SRM works, let’s explore further the ‘reading age’ example. Using SRM a teacher could run a report to identify all students with a reading age in excess of 2 years below their actual age. Armed with this data, the teacher can now trigger a whole set of automated events and escalations – e.g. getting students to reading clubs; persuading parents to encourage more reading at home; asking teachers to give extra reading support where needed etc. To do the same analysis and run the intervention programme using a paper based approach would be extremely resource intensive.

The goal of intelligent intervention isn’t to just react to a string of unrelated scores however, but rather to tackle deeper personal needs through addressing a range of student attributes. At the heart of the SRM is the student profile. This builds up over time and as more data is added, the smarter the interventions can get.

At New Line Learning, the data that is held in the student record could be easily used to make comparisons between groups of students.

A different example of how CRM can be exploited in schooling systems is in the area of professional development. In Maryland, USA, the State Education department used CRM to improve administration of certification. At any one point in time, there will be 160,000 people in the Maryland State Education System requiring certification of one kind of another. Overwhelmed with a backlog of requests processing times for new certificates extend to as long as 18 months. Working with Avanade, Maryland introduced a CRM system that reduced certificate-processing times to as little as five days and virtually eliminated dependence on paper.

WHY SRM IN THE CLOUD?

Besides the core advantages of scaling, managing resources and cost that applies to most aspects of Cloud based services, there are two additional advantages that SRM in the cloud brings:

1. Scaling interventions – there is technically no reason why an intervention – say for absences – can’t be deployed across multiple schools. If the risk factors, triggers and escalation paths are the same or similar, then a centralised system could potentially manage interventions across several schools simultaneously.

2. Better data – the more schools are contributing data to understand risks and how best to mitigate against them, the better. The more data, the more variables can be considered and the richer the decision making process.

IMPLEMENTING SRM

In the business world, CRM is as much a philosophy as it is a software service At its core CRM is seen as a more customer-centric way of doing business enabled by technology. The focus of CRM is also shifting to encompass social networks and user communities.

For SRM to work in a schooling system the organisation must analyse its workflows and processes; some will need to be re-engineered to better serve the overall goal of tailoring services to students.

If student relationships are the heart of effective schooling, then SRM can be the engine that mediates relationships at scale.

Further information

http://www.gartner.com/technology/media-products/newsletters/datatel/issue1/gartner1.html

http://download.microsoft.com/download/6/9/3/693d3df0-9202-42cd-a961-1bb7b1b8b301/MSDynamicsCRM_EDU.xps

https://partner.microsoft.com/40062157

Publish to the world – free and fast

A number of people have requested Schooling at the Speed of Thought in Kindle format. “How hard could that be”, I wondered.  The answer – incredibly easy, fast and cheap. With the right tools, and this guide, you too could be publishing quickly and easily. 

So, if you are interested in doing likewise either for yourself or as a project with students, read on…

First some quick background info… Amazon Kindle is an e-book publishing platform that allows authors to publish directly from the Kindle Store on Amazon. The Kindle platform consists of devices (Wireless/3G enabled ebook-readers); applications for PC, iPad, iPhone, iPod touch, Mac, Blackberry, and Android-based devices; and an ebook store with books, magazines and public domain content. In theory, practically anyone can take a Word document and push it to the Amazon site for anyone else to download – either free or paid for. OK, there’s a bit more to it than that, but not a lot.

The business model is simple – you write, design and produce your publication, upload it to the Kindle Direct Publishing platform using your regular Amazon credentials, and providing poeple buy what you are selling, eventually – and I stress eventually – you get a cheque through the post. Amazon give you either 35% or 70% royalty – which is taxable of course. Read the “getting paid” section here before getting too excited.

So, assuming that your aim is to deliver your wisdom to the massess, rather than to purchase a castle in Tuscany, just follow these simple steps to publishing stardom.

1. Get the right tools

Microsoft Office Pro 2010

MobiPocket Creator 4.2 (free)

Kindle Reader for PC (free)

2. Build your publication

Word 2010 is indispensable for both professional quality print and ebook publishing. Use the left-hand navigation bar to structure, draft and refine your text. Keep your style-sheet simple, and avoid multiple layered bullets.

3. Add illustrations

Use PowerPoint 2010 for creating professional publishing-quality images. Create your tables in PowerPoint, save them as JPEG files and insert them into your Word document.

4. Convert to Kindle ebook format

For small publications – especially if they don’t have tables and illustrations  – you can upload diretcly to the Kindle Direct Publishing platform. However, I found it better to follow these steps:

i) Save the Word 2010 file as a Word 97-2003 format

ii) Import into MobiPocket Creator (‘Import’ then ‘Build’)

iii) Test with Kindle Reader for PC and refine the Word document until you are happy with the format and layout

5. Upload the “Kindle Content” file to Kindle Direct Publishing

Watch this video to see how to do this part – http://www.youtube.com/watch?v=NMpiKDzNNO4

You will have to wait up to 3 days for the nice people at Amazon to review the content before its published.

And that’s pretty much it.

Key tips and reminders:

1. Don’t try to upload big files with lots of tables, pics and complex formatting directly to Kindle Direct Publishing. Build and test on your PC first.

2. Tables are tricky, and the more you have the trickier it gets, so build the tables in PowerPoint first, and export as JPEGs and then import these as pictures into Word.

3. MobiPocket Creator strips out blank lines, so use the Styles in Word to set “above” and “below” paragraph spaces (eg 6pt or 12pt above and below).

Lastly, its worth pointing out that all of the interior for the paperback version of Schooling at the Speed of Thought was done in Microsoft Office Pro 2010. The “galley” was sent to the printers in Word 2010 format, and the formating and layout options now within Word 2010 make it perfect for taking a book through from conception to the bookshelf. The only other software that was used was Visio for some of the more complex diagrams, and Adobe InDesign was used for the cover.