Abstract
This paper introduces two independent open learner models (learner models that are accessible to user viewing), which are deployed alongside university courses to facilitate self-assessment skills, planning and independent learning. OLMlets is used in specific courses, while UK-SpecIAL, a modular extension to OLMlets, draws on the OLMlets learner models to display progress towards achieving learning outcomes applicable across courses. User logs demonstrate usage of each system, and questionnaire responses provide insight into the reasons for user trust in the environments.
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References
Robinson, S.L.: Trust and Breach of the Psychological Contract. Administrative Science Quarterly 41, 574–599 (1996)
Lewis, J.D., Weigert, A.: Trust as Social Reality. J. Social Forces 63, 967–985 (1985)
Madsen, M., Gregor, S.: Measuring Human-Computer Trust. In: Gable, G., Viatle, M. (eds.) 11th Australasian Conference on Information Systems, vol. 53 (2000)
Tanimoto, S.: Dimensions of Transparency in Open Learner Models. In: LeMoRe Workshop, Artificial Intelligence in Education 2005, pp. 100–106 (2005)
Bull, S., Kay, J.: Student Models that Invite the Learner In: The SMILI Open Learner Modelling Framework. Int. J. of Artificial Intelligence in Education. 17(2), 89–120 (2007)
Ahmad, N., Bull, S.: Do Students Trust their Open Learner Models? In: Nejdl, W., Kay, J., Pu, P., Herder, E. (eds.) AH 2008. LNCS, vol. 5149, pp. 255–258. Springer, Heidelberg (2008)
Ahmad, N., Bull, S.: Learner Trust in Learner Model Externalisations. In: Artificial Intelligence in Education 2009, IOS Press, Amsterdam (in press)
Land, S.M., Hanaffin, M.J.: Student-Centered Learning Environments: Foundations, Assumptions, and Implications. In: 18th Proceedings of Selected Research and Development Presentations at the 1996 National Convention of the Association for Educational Communications and Technology, Indianapolis, IN, pp. 394–400 (1996)
Higher Education Academy/Juwah et al. Enhancing Student Learning Through Effective Formative Feedback (2004), http://www.heacademy.ac.uk
Bull, S., Kay, J.: Metacognition and Open Learner Models. In: Workshop on Metacognition and Self-Regulated Learning in Educational Technologies. Int. Tutoring Systems (2008)
Kay, J.: Learner Know Thyself: Student Models to Give Learner Control and Responsibility. In: Halim, Z., Ottomann, T., Razak, Z. (eds.) Int. Conference on Computers in Education, AACE, pp. 17–24 (1997)
Boud, D.: Promoting Reflection in Learning: a Model. In: Boud, D., Keogh, R., Walker, D. (eds.) Reflection: Turning Experience into Learning, Kogan Page, London, pp. 18–40. Nichols Pub., New York (1985)
Schon, D.: The Reflective Practitioner. Basic Books, USA (1983)
Dimitrova, V.: StyLE-OLM: Interactive Open Learner Modelling. Int. J. of Artificial Intelligence in Education 13(1), 35–78 (2003)
Mabbott, A., Bull, S.: Alternative views on knowledge: Presentation of open learner models. In: Lester, J.C., Vicari, R.M., Paraguaçu, F. (eds.) ITS 2004. LNCS, vol. 3220, pp. 689–698. Springer, Heidelberg (2004)
Perez-Marin, D., Alfonseca, E., Rodriguez, P., Pascual-Neito, I.: A Study on the Possibility of Automatically Estimating the Confidence Value of Students’ Knowledge in Generated Conceptual Models. J. of Computers 2(5), 17–26 (2007)
Zapata-Rivera, J.D., Greer, J.E.: Interacting with Inspectable Bayesian Models. Int. J. of Artificial Intelligence in Education 14, 127–163 (2004)
Bull, S., Mabbott, A., Gardner, P., Jackson, T., Lancaster, M., Quigley, S., Childs, P.A.: Supporting Interaction Preferences and Recognition of Misconceptions with Independent Open Learner Models. In: Nejdl, W., Kay, J., Pu, P., Herder, E. (eds.) AH 2008. LNCS, vol. 5149, pp. 62–72. Springer, Heidelberg (2008)
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)
Weber, G., Brusilovsky, P.: ELM-ART: An Adaptive Versatile System for Web-Based Instruction. Int. J. of Artificial Intelligence in Education 12, 351–384 (2001)
Engineering Council. UK Standard for Professional Engineering Competence, The Accreditation of Higher Education Programmes (2004), http://www.engc.org.uk/documents/Accreditation_HE_Progs.pdf
Biggs, J., Tang, C.: Teaching for Quality Learning at University. McGraw Hill, OUP (2007)
Institution of Engineering and Technology (IET). Handbook of Learning Outcomes for BEng and MEng Degree Programmes (2006), http://www2.theiet.org
Jameson, A.: Adaptive Interfaces and Agents. In: Jacko, J.A., Sears, A. (eds.) Human-Computer Interaction Handbook, 2nd edn., Lawrence Erlbaum Publishers, Mahwah (2007)
Bull, S., Quigley, S., Mabbott, A.: Computer-Based Formative Assessment to Promote Reflection and Learner Autonomy. Engineering Education 1, 8–18 (2006)
Buzzetto-More, N.A., Alade, A.J., Panda, D.: Using e-Learning to Drive a Student Learning Outcomes Based Assessment Program. In: Buzzetto-More, N.A. (ed.) Advanced Principles of Effective e-Learning, pp. 213–244. Informing Science Press, CA (2007)
Maddocks, A.: EASIMAP: A Coherent Approach to the Assessment of Learning Outcomes on Engineering Degree Programmes. Engineering Education 2(2), 26–32 (2007)
Avitabile, P., McKelliget, J., Van Zandt, T.: Interweaving Numerical Processing Techniques in Multisemester Projects. In: American Society for Engineering Education Annual Conference & Exposition, American Society for Engineering (2005)
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Bull, S., Gardner, P., Ahmad, N., Ting, J., Clarke, B. (2009). Use and Trust of Simple Independent Open Learner Models to Support Learning within and across Courses. In: Houben, GJ., McCalla, G., Pianesi, F., Zancanaro, M. (eds) User Modeling, Adaptation, and Personalization. UMAP 2009. Lecture Notes in Computer Science, vol 5535. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02247-0_7
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DOI: https://doi.org/10.1007/978-3-642-02247-0_7
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