While I was in Montevideo, at the invitation of Plan Ceibal, I was interviewed about learning analytics. This playlist of four short videos (subtitled in Spanish) deals with the potential of Big Data to improve learning, how The Open University has used learning analytics, and the work of the LACE and LAEP projects.
I talk about how analytics can be used to identify when students are dropping behind, how they can be used to identify successful routes through courses, and how they can identify types of learning design that lead to student success.
I note that the supply of learning analytics is growing, but it is not clear that the demand is growing in the same way. Researchers and developers need to engage more with educators at every stage in order to identify the problems they need to be solved and the questions that they need to have answered.
I also talk about the need to align learning analytics with strategic priorities for education and training, not only at institutional level, but also at national and international level.
My videos are followed in the playlist with videos from Professor Dragan Gasevic, chair of the Society for Learning Analytics (SoLAR).
As ed-tech social media fills up with rapid-response pieces on what Pokémon Go could mean for education, I thought it was time to refer back to work with a more solid basis. And what could be a better starting point than our 2014 book on Augmented Education?
Augmented Education explores the implications and challenges of augmented learning – learning at the frontiers of reality – and the ways in which we can understand it, structure it, develop it and employ it. It investigates what we can do now that we could not do before, and asks whether these new possibilities could fundamentally affect how people approach and benefit from learning. For example, can augmented learning create the social, affective and cognitive conditions that will allow individuals and groups of people not only to approach learning in a meaningful way, but also to engage with it more deeply?
To encourage people to read the book, I wrote a piece for the OU News and OpenLearn on Pokémon Go, and how the game aligns with the four approaches to augmented education that we identify in the book.
The book provides a detailed overview of the newest possibilities in education and shows how technological developments can be harnessed to support inclusive and collaborative knowledge building through formal and informal learning.
In order to do this, we employ a broad definition of augmented learning.
“Augmented learning uses electronic devices to extend learners’ interactions with and perception of their current environment to include and bring to life different times, spaces, characters and possibilities. It offers possibilities for the transformation of learners and their learning contexts.”
Using this definition, the book extends beyond the augmentation of teaching, learning and schools to include informal subject-based learning, learning using social media, collaborative informal learning and educating the transhuman.
I have joined the Executive Board of the Society for Learning Analytics Research (SoLAR) as a ‘member at large’! The current president of the society is Dragan Gašević from the University of Edinburgh, UK.
I visited the University of Deusto in Bilbao, Spain, to give a keynote at the learning analytics summer institute there (LASI Bilbao 2016) on 28 June 2016. The event brought people together from the Spanish Network of Learning Analytics (SNOLA), which was responsible for organising the event, in conjunction with the international Society for Learning Analytics Research (SoLAR).
What does the future hold for learning analytics? In terms of Europe’s priorities for learning and training, they will need to support relevant and high-quality knowledge, skills and competences developed throughout lifelong learning. More specifically, they should improve the quality and efficiency of education and training, enhance creativity and innovation, and focus on learning outcomes in areas such as employability, active-citizenship and well-being. This is a tall order and, in order to achieve it, we need to consider how our work fits into the larger picture. Drawing on the outcomes of two recent European studies, Rebecca will discuss how we can avoid potential pitfalls and develop an action plan that will drive the development of analytics that enhance both learning and teaching.
The series of LACE workshops on Ethics and Privacy in Learning Analytics (EP4LA) keeps expanding.
I worked with María Jésus Rodríguez-Triana on the programme for one of these events, which she ran with Denis Gillet at the 12th Joint European Summer School on Technology Enhanced Learning (JTEL Summer School) in Estonia, on 20 June.
This 90-minute workshop aims to give participants an overview of the ethical and privacy issues in Learning Analytics. Furthermore, the workshop allows the participants to increase the awareness about how to implement LA solutions either as researchers, practitioners or as developers. It will consist of three parts:
Part 1 – Introduction: presentation of LA frameworks and guidelines for Learning Analytics regarding ethics and privacy.
Part 2 – Framework analyses: participants will be grouped to work in a specific framework. The teams will categorise those ethical and privacy issues that the participants are currently addressing in their practice, those that could be covered with a low-medium effort, and those that constitute a challenge
Part 3 – Discussion: An open discussion will follow, exploring the complexity of each framework and looking for potential ways of addressing them.
We had been asked to validate the Cert ED and the Professional Graduate Certificate in Education courses run by the college, which does not currently have the authority to award qualifications at this level. Like many other colleges in England, it asked the OU to validate its courses, so that students completing those courses could receive certificates from The Open University.
Through its Royal Charter, the OU is able to validate the programmes of institutions that do not have their own degree-awarding powers or that wish to offer OU awards. Validation is an iterative process, carried out over a period of time, culminating in an event that brings together participants. The process covers ten areas:
- Rationale, aims and intended learning outcomes of the programme of study
- Curriculum and structure of the programme of study
- Teaching and learning
- Admissions and transfer
- Staffing, staff development and research
- Teaching and learning resources
- Other resources for students
- Programme management and monitoring
- Programme specification and handbook
The process requires close scrutiny of relevant documentation, discussions with staff and students involved with the programmes, and tours of the facilities. A very interesting day, and a chance to get a detailed overview of how two qualifications work in practice.
I was invited to write a paper for Distance Education in China, a journal which reaches out to Western academics and is willing to take on the task of translating papers from English. My paper was based on work published in Augmented Education, written by me, Kieron Sheehy and Gill Clough, which was published by Palgrave in 2014.
Digital technologies are becoming cheaper, more powerful and more widely used in daily life. At the same time, opportunities are increasing for making use of them to augment learning by extending learners’ interactions with and perceptions of their environment. Augmented learning can make use of augmented reality and virtual reality, as well as a range of technologies that extend human awareness. This paper introduces some of the possibilities opened up by augmented learning and examines one area in which they are currently being employed: the use of virtual realities and tools to augment formal learning. It considers the elements of social presence that are employed when augmenting learning in this way, and discusses different approaches to augmentation.
数字化技术的价格越来越便宜,功能越来越强大,在日常生活中用途越来越广泛。与此同时,利用数字化技术进一步促进学习者与他们所处环境的互动以及对环境的 感知以增强学习的机会也越来越多。增强学习可以利用增强现实和虚拟现实以及许多能提高人类意识的技术。本文介绍增强学习的一些可能性并讨论目前正在应用增 强学习的一个领域:运用虚拟现实和工具增强正式学习。文章分析了基于虚拟现实和工具的增强学习所需的社交临场成分,并讨论不同的增强方法。
Ferguson, Rebecca (2016). 增强学习的可能性与挑战 [Possibilities and challenges of augmented learning]. Distance Education in China, 6 pp. 5–13.