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Scrutable Learner Modelling and Learner Reflection in Student Self-assessment

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Intelligent Tutoring Systems (ITS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4053))

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Abstract

Learner reflection is critical to effective, deep, transferable learning, especially in cognitively demanding areas, such as learning programming. This paper presents KrAssess, a programming education system, which aims to facilitate student self-assessment and promote learner reflection through scrutable learner models. KrAssess supports learning by helping students learn to “see” solutions according to the criteria valued by their teacher. It also supports learning to write, review and improve solutions to design tasks.

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References

  1. Crawford, K., Kay, J.: Shaping learning approaches with intelligent learning systems. In: Intl. Conf. for Technology in Education, France, vol. 3, pp. 1472–1476 (1992)

    Google Scholar 

  2. Kay, J.: Invited keynote address: Learner know thyself: Student models to give learner control and responsibility. In: Halim, Z.T., Ottomann, Z.R. (eds.) ICCE 1997 International Conference on Computers in Education, pp. 17–24 (1997)

    Google Scholar 

  3. Flavell, J.H.: First discussant’s comments: What is memory development the development of? Human Development 14, 272–278 (1971)

    Article  Google Scholar 

  4. Boud, D., Keogh, R., Walker, D.: Promoting reflection in learning: A model. In: Boud, D., Keogh, R., Walker, D. (eds.) Reflection: Turning Experience into Learning, pp. 18–40. Kogan Page, London (1985)

    Google Scholar 

  5. Schön, D.A.: The reflective practitioner. Basic Books, New York (1983)

    Google Scholar 

  6. Schön, D.A.: Educating the reflective practitioner. Jossey-Bass Publishers, San Francisco (1987)

    Google Scholar 

  7. Boud, D.: Implementing student self-assessment. Campbelltown: Higher Education Research and Development Society of Australasia. HERDSA Green Guide 5 (1986)

    Google Scholar 

  8. Kay, J., Lum, A.: Exploiting Readily Available Web Data for Scrutable Student Models. In: 12th International Conference on Artificial Intelligence in Education, Amsterdam, Netherlands, pp. 338–345 (2005)

    Google Scholar 

  9. Boud, D.: The role of self-assessment in student grading. Assessment and Evaluation in Higher Education 14, 20–30 (1989)

    Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Kay, J., Li, L. (2006). Scrutable Learner Modelling and Learner Reflection in Student Self-assessment. In: Ikeda, M., Ashley, K.D., Chan, TW. (eds) Intelligent Tutoring Systems. ITS 2006. Lecture Notes in Computer Science, vol 4053. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11774303_93

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  • DOI: https://doi.org/10.1007/11774303_93

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35159-7

  • Online ISBN: 978-3-540-35160-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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