Highlighting learning across a degree with an independent open learner model

Frontiers in Artificial Intelligence and Applications

Volumn 200, Issue 1, 2009, Pages 275-282

  Bull, Susan ^a   Gardner, Peter ^a  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRICAL AND COMPUTER ENGINEERING; FIRST YEAR; LEARNING OUTCOME; MODELING APPROACH; OPEN LEARNER MODELS; SIMPLE++;

EID: 73149089697     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: 10.3233/978-1-60750-028-5-275     Document Type: Conference Paper

References (14)

1. Bull, S. & Kay, J. Metacognition and Open Learner Models, Metacognition and Self-Regulated Learning in Educational Technologies Workshop, Intelligent Tutoring Systems, (2008).
2. Kay, J. Learner Know Thyself: Student Models to Give Learner Control and Responsibility. International Conference on Computers in Education, AACE, Charlottesville VA, (1997), 18-26.
3. Weber, G. & Brusilovsky, P. ELM-ART: An Adaptive Versatile System for Web-Based Instruction, International Journal of Artificial Intelligence in Education 12, (2001), 351-384.
4. Mitrovic, A. & Martin, B. Evaluating the Effect of Open Student Models on Self-Assessment. International Journal of Artificial Intelligence in Education 17(2), (2007), 121-144.
5. Dimitrova, V.: Style-OLM: Interactive Open Learner Modelling. Internaltional Journal of Artificial Intelligence in Education 13(1), (2003), 35-78.
6. Johnson, M. & Bull, S. Belief Exploration in a Multiple-Media Open Learner Model for Basic Harmony, Artificial Intelligence in Education, IOS Press, Amsterdam, (in press).
7. 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 W. Neijdl, J. Kay, P. Pu & E. Herder (eds), Adaptive Hypermedia, Springer-Verlag, Berlin, (2008), 62-72.
8. Higher Education Academy/Juwah et al. Enhancing Student Learning Through Effective Formative Feedback, http://www.heacademy.ac.uk, (2004).
9. Avitabile, P., McKelliget, J. & Van Zandt, T. Interweaving Numerical Processing Techniques in Multisemester Projects, Proceedings of American Society for Engineering Education Annual Conference & Exposition, American Society for Engineering, (2005).
10. Engineering Council. UK Standard for Professional Engineering Competence, Accreditation of Higher Education Programmes, http://www.engc.org.uk/documents/ Accreditation-HE-Progs.pdf, (2004).
11. IET (Institution of Engineering and Technology). Handbook of Learning Outcomes for BEng and MEng Degree Programmes, http://www2.theiet.org, (2006).
12. Biggs, J. & Tang, C. Teaching for Quality Learning at University, McGraw Hill, OUP, (2007).
13. Bull, S., Gardner, P., Ahmad, N., Ting, J. & Clarke, B. Use and Trust of Simple Independent Open Learner Models to Support Learning Within and Across Courses, User Modeling, Adaptation and Personalization, Springer-Verlag, Berlin Heidelberg, (in press).
14. Bull, S., Quigley, S. & Mabbott, A. Computer-Based Formative Assessment to Promote Reflection and Learner Autonomy, Engineering Education 1(1), (2006), 8-18.