An intelligent task assignment and personalization system for students' online collaboration

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Abstract

This paper discusses a framework that supports collaborative learning activities in smart environments. When designing or developing collaborative environments numerous fundamental requirements should be taken into consideration to maximize their potentials. These best-practices outline strategies regarding (i) group formation, (ii) role assignment, (iii) personalized support, and (iv) activity monitoring. A multi-tier architecture scheme is employed, on top of the "ClassMATE" system, where every module addressees some of these aspects and their combination results in a complete framework that enables both online and offline collaboration in the smart classroom. © 2011 Springer-Verlag.

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APA

Leonidis, A., Margetis, G., Antona, M., & Stephanidis, C. (2011). An intelligent task assignment and personalization system for students’ online collaboration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6768 LNCS, pp. 548–557). https://doi.org/10.1007/978-3-642-21657-2_59

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