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Learning Fingerprint: Adaptive Tutoring for MOOCs PROCEEDINGS

, Satakunta University of Applied Sciences, Finland

EdMedia: World Conference on Educational Media and Technology, in Tampere, Finland ISBN 978-1-939797-08-7 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC

Abstract

Open educational systems, like Khan Academy or various Massive Open Online Courses (MOOC) platforms, have become popular by providing education for all. However, with high scalability and ideas on self-directed learning, there is a great risk that student might be left alone in the MOOCs. In this paper a next generation Intelligent Tutoring System, Learning Fingerprint, is introduced. Learning Fingerprint enables conceptual level Learning recommendations in real-time in order to help student with his/her metacognitive skills and motivation. According to our studies, we can support both learning outcome and motivation by providing real time visualizations on skills and competences and by giving recommendations for next steps in learning process.

Citation

Ketamo, H. (2014). Learning Fingerprint: Adaptive Tutoring for MOOCs. In J. Viteli & M. Leikomaa (Eds.), Proceedings of EdMedia 2014--World Conference on Educational Media and Technology. Tampere, Finland: Association for the Advancement of Computing in Education (AACE). Retrieved February 26, 2018 from .