Date

2011-10-07

Speaker

Serge Garlatti (TB)

Summary

The talk investigates in which extent, social media, mobile and ubiquitous learning may enhance main IBST features, known as: i) Authentic and problem-based activities, ii) experimental procedures, iii) self regulated learning sequences, iv) discursive argumentation and communication with peers. We consider the different dimensions of such learning, and propose to embed it in IBST sequences thanks a scenario-based approach. We also consider needed extension of current open services available, showing that semantic web may fulfill those needs. A semantic based prototype is presented to validate the approach.

Slides

Video

Author Biography

Serge Garlatti

Serge Garlatti is a full professor in computer science and has twenty-eight years in teaching and research, project management, consulting, publishing research results. He has a background in mechanics and electronic and artificial intelligence. Since 1991 he has been involved in national and international research projects focused on knowledge representation, adaptive hypermedia, pervasive technology-enhanced learning systems. He is head of the research group SCRIPTureS “Semantic Composition and Retrieval of Information, Pictures and Services”. Now, his research is focus on adaptive and context-aware information systems based on knowledge representation, social media tools and semantic web. It is applied to the design of technology-enhanced learning systems based on an interdisciplinary approach.