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.
Keywords
- ambient intelligence
- education
- smart classroom
- collaborative learning
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Feyzioglu, B., Akcay, H., Sahin-Pekmez, E.: Comparison of computer assisted cooperative, competitive and individualistic learning: An example of Turkey. In: Proceedings of Congrès International d’Actualité de la Recherche en Education et en Formation (2007)
Ames, C.: Classrooms: Goals, structures, and student motivation. Journal of Educational Psychology 84(3), 261–271 (1992)
Bote-Lorenzo, M.L., et al.: A tailorable grid service based system that supports scripted collaborative learning. Computers & Education 51(1), 155–172 (2008)
Cortez, C., et al.: Teaching Science with Mobile Computer Supported Collaborative Learning (MCSCL). IEEE Computer Society, Los Alamitos (2004)
Dewiyanti, S., Brandgruwel, S., Jochems, W., Broers, N.: Students experiences with collaborative learning in asynchronous Computer-Supported Collaborative Learning environments. Computers in Human Behavior 23(1), 496–514 (2007)
Duran, E., Amandi, A.: Collaborative Student Profile to Support Assistance in CSCL Environment (2008)
Hooper, S.: The effects of persistence and small group interaction during computer-based instruction. Computers in Human Behavior 19(2), 211–220 (2003)
Humphreys, B., Johnson, R.T., Johnson, D.W.: Effects of cooperative, competitive, and individualistic learning on students’ achievement in science class. Journal of Research in Science Teaching 19(5), 351–356 (1982)
IEEE LOM. Draft Standard for Learning Object Metadata. IEEE Learning Technology Standards Committee, IEEE 1484.12.1 (2002)
Leo, D.H., et al.: COLLAGE: A collaborative Learning Design editor based on patterns. Educational Technology and Society 9(1), 58–71 (2006)
Leonidis, A.: ClassMATE: Classroom Multiplatform Augmented Technology Environment (Master’s thesis) (2010), e-Locus at http://elocus.lib.uoc.gr/dlib/d/3/6/metadata-dlib-d19ded9b6c0938f4723672b56b78ebe2_1288598057.tkl
Lipponen, L., Rahikainen, M., Lallimo, J., Hakkarainen, K.: Patterns of participation and discourse in elementary students” computer-supported collaborative learning. Learning and Instruction 13(5), 487–509 (2003)
Milrad, M., Perez, J., Hoppe, U.: C-notes: designing a mobile and wireless application to support collaborative knowledge building. In: Proceedings of IEEE International Workshop on Wireless and Mobile Technologies in Education 2002, pp. 117–120. IEEE Computer Society, Los Alamitos (2002)
Pawan, F., Paulus, T.M., Yalcin, S., Chang, C.F.: Online learning: Patterns of engagement and interaction among in-service teachers. Language Learning and Technology 7(3), 119–140 (2003)
Sheremetov, L.: EVA: an interactive Web-based collaborative learning environment. Computers & Education 39(2), 161–182 (2002)
Slavin, R.: When does cooperative learning increase student achievement? Phychological Bulletin 94(3), 429–445 (1983)
Strijbos, J.-W., Weinberger, A.: Emerging and scripted roles in computer-supported collaborative learning. Computers in Human Behavior 4, 491–494 (2010)
Trentin, G.: Using a wiki to evaluate individual contribution to a collaborative learning project. Journal of Computer Assisted Learning 25(1), 43–55 (2009)
Yang, S.J.H.: Context Aware Ubiquitous Learning Environments for Peer-to-Peer Collaborative Learning. Educational Technology & Society 9(1), 188–201 (2006)
Yau, S.S., et al.: Smart Classroom: Enhancing Collaborative Learning Using Pervasive Computing Technology. Engineering, 1–9 (2003)
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© 2011 Springer-Verlag Berlin Heidelberg
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Leonidis, A., Margetis, G., Antona, M., Stephanidis, C. (2011). An Intelligent Task Assignment and Personalization System for Students’ Online Collaboration. In: Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. Applications and Services. UAHCI 2011. Lecture Notes in Computer Science, vol 6768. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21657-2_59
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DOI: https://doi.org/10.1007/978-3-642-21657-2_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21656-5
Online ISBN: 978-3-642-21657-2
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