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Social Personalized Adaptive E-Learning Environment: Topolor - Implementation and Evaluation

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Artificial Intelligence in Education (AIED 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7926))

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Abstract

This paper presents a quantitative study on the use of Topolor - a prototype that introduces Web 2.0 tools and Facebook-like appearance into an adaptive educational hypermedia system. We present the system design and its evaluation using system usability scale questionnaire and learning behavior data analysis. The results indicate high level of student satisfaction with the learning experience and the diversity of learning activities.

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References

  1. Brusilovsky, P.: Adaptive Educational Hypermedia: From generation to generation (Invited talk). In: Proc. of Hellenic Conference on Information and Communication Technologies in Education, Athens, Greece, pp. 19–33 (2004)

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  2. Shi, L., Al Qudah, D., Qaffas, A., Cristea, A.I.: Topolor: A Social Personalized Adaptive E-Learning System. In: Weibelzahl, S., Carberry, S., Micarelli, A., Semeraro, G. (eds.) UMAP 2013. LNCS, vol. 7899, pp. 338–340. Springer, Heidelberg (2013)

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  3. Shi, L., Stepanyan, K., Al Qudah, D., Cristea, A.I.: Evaluation of Social Interaction Features in Topolor - A Social Personalized Adaptive E-Learning System. In: 13th IEEE International Conference on Advanced Learning Technologies (accepted, 2013)

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© 2013 Springer-Verlag Berlin Heidelberg

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Shi, L., Gkotsis, G., Stepanyan, K., Al Qudah, D., Cristea, A.I. (2013). Social Personalized Adaptive E-Learning Environment: Topolor - Implementation and Evaluation. In: Lane, H.C., Yacef, K., Mostow, J., Pavlik, P. (eds) Artificial Intelligence in Education. AIED 2013. Lecture Notes in Computer Science(), vol 7926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39112-5_94

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  • DOI: https://doi.org/10.1007/978-3-642-39112-5_94

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39111-8

  • Online ISBN: 978-3-642-39112-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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