Multimodal Data for Learning
I am on the review board for this special call for papers on "Multimodal Data for Learning" for the Journal of Computer Assisted Learning (JCAL). The special issue deals with new data sources coming from the Internet of Things (IoT), wearables, eye-trackers and other camera systems, self-programmable microcomputers such as Raspberry Pi and Arduino. How can these multimodal datasets that combine traditional learning data with different data from physical activity, physiological responses or contextual information be exploited for learning?
On these pages you find information about my personal and professional background as well as some features about my interests in technology-enhanced learning, knowledge creation, knowledge transfer, and networked universities.
Learning technology has come a long way, and provides organisations, learners, and teachers with enormous opportunities to innovate not only their technical environment, but also the teaching and learning methodologies as well as their business processes. Most of all, the introduction of new media technologies leads to reflections about inherited traditional systems versus new approaches. My work contributes to these reflections and pursues not only innovation but also the effects that this innovation has on education, learning, and people.
This is a fast moving area and research focus changes quickly and often unexpectedly. My publications page contains a list of works in the field over the years. To a great extent they too reflect the changing nature of education.
My views on technology-enhanced learning
I am a passionate believer in the opportunities that technology has to offer to the knowledge society, both in terms of enhancement of learning and in reaching out to new learners. In remote and rural communities it is often the only way for people to access higher education. However, I am also of the opinion that technology alone does not produce new knowledge or learning and that new developments need to have a pedagogic and learner-centred approach.
Experience in commerce and education has shown that online solutions are at their best when built upon a traditional well-established structure. The pedagogic concept of Blended Learning is increasingly supported by universities and governments who realise that it provides a more sustainable approach than purely online offerings. This goes some way towards recognising that we cannot ignore pedagogic concepts that have been successful for decades before the internet arrived and still are.
Areas of interest
Technology enhanced learning has made giant leaps forward over the past few years. In my work, I try to keep up-to-date with latest developments and newest technologies. My current research interests focus especially on Learning and Knowledge Analytics, Language Technologies for learning support, Learning Networks, and Mobile Learning, but I also have a keen interest in other topics, including open education, game mechanics, or the most recent debate about connectivism.
Read more about my views on e-learning developments.
LAK17 - Programme Committee
Once again, I am joining the Programme Committee for the 7th International Conference on Learning Analytics and Knowledge. LAK17 will be held at Simon Fraser University, Vancouver, BC, Canada from 13-17 March 2017.
Contribution for LAK16
A new discussion paper on ethics and privacy in Learning Analytics by Hendrik Drachsler and myself will be presented at the LAK16 conference in Edinburgh on 27 April 2016. The title is "Ethics and Privacy in Learning Analytics - a DELICATE issue". Details and manuscript can be found here.
Privacy - a show stopper for LA?
I have been invited to collaborate on the production of a white paper by the LACE project on the issue of privacy and ethics in Learning Analytics. It's working title is: "Is Privacy a Show Stopper for Learning Analytics? A Review of Current Issues and Solutions"