Abstract
The spread of the smart device has led collaborative technologies to valuable applications in developing educational content. Many electronic textbooks provide basic annotation features like sharable bookmarks, notes, highlighting and underlining. These user activities contain important information in the view of education such as user knowledge and students’ learning style. In this paper, we proposed annotation-content learning model to analyze learner’s annotating behavior on electronic textbooks. Based on the model, we also developed similarity algorithms to find other notes created by students who have similar learning style. The purpose of the proposed system is to encourage students to have their own online communities using smart tablets to pool their knowledge and share ideas and experiences. We also presented the evaluation indicating that the system improved students’ knowledge significantly.
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Thayer, A., Lee, C.P., Hwang, L.H., Sales, H., Sen, P., Dalal, N.: The imposition and superimposition of digital reading technology: the academic potential of e-readers. In: Proceedings of the 2011 Annual Conference on Human Factors in Computing Systems, pp. 2917–2926. ACM, Vancouver (2011)
Merriënboer, J.G., Ayres, P.: Research on cognitive load theory and its design implications for e-learning. ETR&D 53, 5–13 (2005)
Balla, A.: Designing Pedagogical Learning Environment. International Journal of Advanced Science and Technology 6, 1–14 (2009)
Sung, J.S.: Design of Collaborative Learning on Mobile Environment. International Journal of Advanced Science and Technology 25, 43–54 (2010)
Nagarajan, P., Wiselin Jiji, G.: ONLINE EDUCATIONAL SYSTEM (e- learning). International Journal of u- and e-Service, Science and Technology 3, 37–48 (2010)
Tse, E., Schoning, J., Huber, J., Marentette, L., Beckwith, R., Rogers, Y., Muahlhauser, M.: Child computer interaction: workshop on UI technologies and educational pedagogy. In: Proceedings of the 2011 Annual Conference Extended Abstracts on Human Factors in Computing Systems, pp. 2445–2448. ACM, Vancouver (2011)
Marshall, C.C.: The future of Annotation in a Digital (paper) world. In: The 35th Annual GSLIS Clinic: Successes & Failures of Digital Libraries, University of Illinois at Urbana-Champaign (1998)
Ovsiannikov, I.A., Arbib, M.A., McNeill, T.H.: Annotation technology. International Journal of Human-Computer Study 50, 329–362 (1999)
Kim, J.K., Sohn, W.S., Kim, T.H., Lee, Y.S.: Annotation-based Smart User Interface for Digital Textbook. In: The 1st International Conference on Advanced Information Technology and Sensor Application, Daejun, Korea (2012)
Collaborative filtering, http://en.wikipedia.org/wiki/Collaborative_filtering
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Kim, JK., Sohn, WS., Lee, Y. (2012). Advanced Knowledge Sharing Strategies Based on Learning Style Similarity for Smart Education. In: Kim, Th., Kang, JJ., Grosky, W.I., Arslan, T., Pissinou, N. (eds) Computer Applications for Bio-technology, Multimedia, and Ubiquitous City. BSBT MulGraB IUrC 2012 2012 2012. Communications in Computer and Information Science, vol 353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35521-9_18
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DOI: https://doi.org/10.1007/978-3-642-35521-9_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35520-2
Online ISBN: 978-3-642-35521-9
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