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Visualising Multiple Data Sources in an Independent Open Learner Model

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

Abstract

This paper introduces the Next-TELL independent open learner model which is constructed based on data from a range of sources. An example is presented for a university course, with the learner model built from the main activities undertaken during the course. Use of the Next-TELL open learner model over a five week period is described for this group of students, suggesting that independent open learner models built from multiple sources of data may have much to offer in supporting students’ understanding of their learning, and could potentially be used to encourage greater peer interaction.

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References

  1. Albert, D., Nussbaumer, A., Steiner, C.M.: Towards Generic Visualisation Tools and Techniques for Adaptive E-Learning. In: Wong, S.L., et al. (eds.) International Conference on Computers in Education, Putrajaya, Malaysia, pp. 61–65. Asia-Pacific Society for Computers in Education (2010)

    Google Scholar 

  2. Bakalov, F., Hsiao, I.-H., Brusilovsky, P., Koenig-Ries, B.: Visualizing Student Models for Social Learning with Parallel Introspective Views. In: Workshop on Visual Interfaces to the Social Semantic Web, ACM IUI 2011, Palo Alto, US (2011)

    Google Scholar 

  3. Bull, S., Cooke, N., Mabbott, A.: Visual Attention in Open Learner Model Presentations: An Eye-Tracking Investigation. In: Conati, C., McCoy, K., Paliouras, G. (eds.) UM 2007. LNCS (LNAI), vol. 4511, pp. 177–186. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  4. Bull, S., Gakhal, I., Grundy, D., Johnson, M., Mabbott, A., Xu, J.: Preferences in Multiple-View Open Learner Models. In: Wolpers, M., Kirschner, P.A., Scheffel, M., Lindstaedt, S., Dimitrova, V. (eds.) EC-TEL 2010. LNCS, vol. 6383, pp. 476–481. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  5. Bull, S., Jackson, T., Lancaster, M.: Students’ Interest in their Misconceptions in First Year Electrical Circuits and Mathematics Courses. International Journal of Electrical Engineering Education 47(3), 307–318 (2010b)

    Article  Google Scholar 

  6. Bull, S., Kay, J.: Open Learner Models as Drivers for Metacognitive Processes. In: Azevedo, R., Aleven, V. (eds.) International Handbook on Metacognition and Learning Technologies (in press)

    Google Scholar 

  7. Bull, S., Wasson, B., Kickmeier-Rust, M., Johnson, M.D., Moe, E., Hansen, C., Meissl-Egghart, G., Hammermuller, K.: Assessing English as a Second Language: From Classroom Data to a Competence-Based Open Learner Model. In: International Conference on Computers in Education (2012)

    Google Scholar 

  8. Conejo, R., Trella, M., Cruces, I., Garcia, R.: INGRID: A Web Service Tool for Hierarchical Open Learner Model Visualization. In: Ardissono, L., Kuflik, T. (eds.) UMAP 2011 Workshops. LNCS, vol. 7138, pp. 406–409. Springer, Heidelberg (2012), http://www.umap2011.org/proceedings/posters/paper_241.pdf

    Chapter  Google Scholar 

  9. Cruces, I., Trella, M., Conejo, R., Galvez, J.: Student Modeling Services for Hybrid Web Applications. In: International Workshop on Architectures and Building Blocks of Web-Based User-Adaptive Systems (2010), http://ceur-ws.org/Vol-609/paper1.pdf

  10. Demmans Epp, C., McCalla, G.: ProTutor: Historic Open Learner Models for Pronunciation Tutoring. In: Biswas, G., Bull, S., Kay, J., Mitrovic, A. (eds.) AIED 2011. LNCS, vol. 6738, pp. 441–443. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  11. Dolog, P., Schaefer, M.: Learner Modeling on the Semantic Web. In: Workshop on Personalization on the Semantic Web, User Modeling 2005 (2005), http://www.win.tue.nl/persweb/full-proceedings.pdf

  12. Duan, D., Mitrovic, A., Churcher, N.: Evaluating the Effectiveness of Multiple Open Student Models in EER-Tutor. In: Wong, S.L., et al. (eds.) International Conference on Computers in Education, Putrajaya, Malaysia, pp. 86–88. Asia-Pacific Society for Computers in Education (2010)

    Google Scholar 

  13. Hsiao, I.-H., Bakalov, F., Brusilovsky, P., König-Ries, B.: Open Social Student Modeling: Visualizing Student Models with Parallel IntrospectiveViews. In: Konstan, J.A., Conejo, R., Marzo, J.L., Oliver, N. (eds.) UMAP 2011. LNCS, vol. 6787, pp. 171–182. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  14. Kay, J.: Learner Know Thyself: Student Models to Give Learner Control and Responsibility. In: Halim, Z., Ottomann, T., Razak, Z. (eds.) ICCE, pp. 17–24. AACE (1997)

    Google Scholar 

  15. Kump, B., Seifert, C., Beham, G., Lindstaedt, S.N., Ley, T.: Seeing What the System Thinks You Know - Visualizing Evidence in an Open Learner Model. In: Proceedings of LAK 2012. ACM (2012)

    Google Scholar 

  16. Mabbott, A., Bull, S.: Student Preferences for Editing, Persuading, and Negotiating the Open Learner Model. In: Ikeda, M., Ashley, K., Chan, T.-W. (eds.) ITS 2006. LNCS, vol. 4053, pp. 481–490. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  17. Mathews, M., Mitrovic, A., Lin, B., Holland, J., Churcher, N.: Do Your Eyes Give It Away? Using Eye Tracking Data to Understand Students’ Attitudes towards Open Student Model Representations. In: Cerri, S.A., Clancey, W.J., Papadourakis, G., Panourgia, K. (eds.) ITS 2012. LNCS, vol. 7315, pp. 422–427. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  18. Mazzola, L., Mazza, R.: GVIS: A Facility for Adaptively Mashing Up and Representing Open Learner Models. In: Wolpers, M., Kirschner, P.A., Scheffel, M., Lindstaedt, S., Dimitrova, V. (eds.) EC-TEL 2010. LNCS, vol. 6383, pp. 554–559. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  19. Mitrovic, A., Martin, B.: Evaluating the Effect of Open Student Models on Self-Assessment. Int. J. of Artificial Intelligence in Education 17(2), 121–144 (2007)

    Google Scholar 

  20. Morales, R., Van Labeke, N., Brna, P., Chan, M.E.: Open Learner Modelling as the Keystone of the Next generation of Adaptive Learning Environments. In: Mourlas, C., Germanakos, P. (eds.) Intelligent User Interfaces, pp. 288–312. Information Science Reference, ICI Global, London (2009)

    Google Scholar 

  21. Perez-Marin, D., Pascual-Nieto, I.: Showing Automatically Generated Students’ Conceptual Models to Students and Teachers. Int. J. of Artificial Intelligence in Education 20(1), 47–72 (2010)

    Google Scholar 

  22. Raybourn, E.M., Regan, D.: Exploring e-portfolios and Independent Open Learner Models: Toward Army Learning Concept 2015. In: Interservice/Industry Training, Simulation, and Education Conference Proceedings, Florida, USA (2011)

    Google Scholar 

  23. Reimann, P., Bull, S., Halb, W., Johnson, M.: Design of a Computer-Assisted Assessment System for Classroom Formative Assessment. In: CAF 2011. IEEE (2011)

    Google Scholar 

  24. Verbert, K., Duval, E., Klerkx, J., Govaerts, S., Santos, J.L.: Learning Analytics Dashboard Applications, American Behavioral Scientist, early online version February 28 (2013), doi:10.1177/0002764213479363

    Google Scholar 

  25. Weber, G., Brusilovsky, P.: ELM-ART: An Adaptive Versatile System for Web-Based Instruction. Int. Journal of Artificial Intelligence in Education 12(4), 351–384 (2001)

    Google Scholar 

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Bull, S., Johnson, M.D., Alotaibi, M., Byrne, W., Cierniak, G. (2013). Visualising Multiple Data Sources in an Independent Open Learner Model. 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_21

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  • DOI: https://doi.org/10.1007/978-3-642-39112-5_21

  • 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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