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Posts Tagged ‘challenges’

Agenda of the Learning Analytics and Linked Data workshop (#LALD) at the LAK12 conference

Posted by Hendrik on April 24th, 2012

Here you can find the agenda for the 1st International Workshop on Learning Analytics and Linked Data (#LALD) at the 2nd International Conference on Learning Analytics and Knowledge (LAK12), Vancouver, Canada

The workshop is co-orgnised by the EATEL SIG dataTEL and the LinkedEducation.org research initiatives. It is motivated by the multitude of datasets exists in TEL that offer new opportunities for teaching and learning. The available datasets can be roughly distinguished between (a) Open Web Data to (b) Personal Learning data originating from different learning environments.

Open Web data covers educational data publicly available on the Web, such as Linked Open Data (LOD) published by institutions about their courses and other resources; examples include (but are not limited to), e.g., The Open University (UK), the National Research Council (CNR, Italy), Southampton University (UK) or the mEducator Linked Educational Resources. It also includes the emergence of LD-based metadata schemas and TEL-related datasets. The main driver in the adoption of the LOD approach in the educational domain is the enrichment of the learning content and the learning experience by making use of various connected data sources.

Personal Learning data from different learning environments originate from tracking learners’ interactions with different tools and resources. The main driver for analyzing these data is the vision of personalized learning that offers potential to create more effective learning experiences through new possibilities for the prediction of and reflection over the learning processes.

The main objective of the LALD workshop is to connect the research efforts on LinkedData and Learning Analytics to create visionary ideas about how the synergy of Web of Data and Learning Analytics can transform and support TEL processes and applications. Therefore, the workshop will explore, collect and review datasets for TEL to discuss Learning Analytics approaches which make use of the Web of Data. During the workshop, an overview of available educational datasets will be given. The participants will have the opportunity to present own datasets or dataset descriptions, show their own data products and tools, and workout Grand Challenges that need to be overcome to collect, use and share educational datasets and their products.

Updated lecture on Recommender Systems for Learning

Posted by Hendrik on April 13th, 2012

Yesterday, I gave a lecture at the advanced SIKS course on Recommender Systems in TEL (#6_tel). The slides are an updated version of the lecture I gave already last year in the UK and Germany. The new version has an adjusted conclusion section that mainly builds upon the new Springer book on “Recommender Systems for Learning” that will appear soon in 2012.
In this book the dataTEL core team (Nikos,Katrien, Erik and myself) gave an overview of the past 1o years of RecSysTEL research. We analyzed 42 RecSys according to their tasks, objectives, evaluation approach, user and domain model, and their personalization approach. Form this comprehensive study we conclude 7 major challenges for TEL RecSys research in the upcoming 5 years.
The book is a very helpful introduction for all researcher that want to conduct research on personalization, learner support and knowledge management through recommender systems. All references used in the book are available in an open user group at the Mendeley research platform and will continue to be enriched with additional references. We would like to encourage the researcher to sign up for this group and to connect to the community of people working on these topics, gaining access to the collected bibliography but also contributing pointers to new relevant publications within this very fast emerging domain.

RecSysTEL lecture at advanced SIKS course, NL

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