Concept Focus: Semantic Meta-Data for Describing MOOC Content

Autor: Mesbah, S., Chen, G., Valle Torre, M., Bozzon, A., Lofi, C., Houben, G.J.P.M., Pammer-Schindler, Viktoria, Pérez-Sanagustín, Mar, Drachsler, Hendrik, Elferink, Raymond, Scheffel, Maren
Rok vydání: 2018
Předmět:
Zdroj: Lifelong Technology-Enhanced Learning ISBN: 9783319985718
EC-TEL
Lifelong Technology-Enhanced Learning: 13th European Conference on Technology Enhanced Learning, EC-TEL 2018-Proceedings, 11082
Popis: MOOCs promised to herald a new age of open education.However, efficient access to MOOC content is still hard, thus unneces-sarily complicating many use cases like efficient re-use of material, ortailored access for life-long learning scenarios. One of the reasons for thislack of accessibility is the shortage of meaningful semantic meta-data de-scribing MOOC content and the resulting learning experience. In this pa-per, we explore Concept Focus, a new type of meta-data for describing aperceptual facet of modern video-based MOOCs, capturing how focuseda learning resource is topic-wise, which is often an indicator of clarityand understandability. We provide the theoretical foundations of Con-cept Focus and outline a methodical workflow of how to automaticallycompute it for MOOC lectures. Furthermore, we show that the learners’consumption behavior is correlated with a MOOC lecture’s Concept Focus, thus underlining that this type of meta-data is indeed relevant for user-centric querying, personalizing or even designing the MOOC experience. For showing this, we performed an extensive study with real-lifeMOOCs and 12,849 learners over the duration of three months.
Databáze: OpenAIRE