Learning Fingerprint: Adaptive Tutoring for MOOCs

ID: 42079 Type: Full Paper: Systems & Resources
  1. Harri Ketamo, Satakunta University of Applied Sciences, Finland

Tuesday, June 24 1:30 PM-2:00 PM Location: B3118 View on map

Presider: Jacqui Chetty, University of Johannesburg, South Africa

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.

Topic

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