Teaching Database Design with Constraint-Based Tutors (2016)
Type of ContentJournal Article
PublisherUniversity of Canterbury. Computer Science and Software Engineering
AuthorsMitrovic, A., Suraweera, P.show all
Design tasks are difficult to teach, due to large, unstructured solution spaces, underspecified problems, non-existent problem solving algorithms and stopping criteria. In this paper, we comment on our approach to develop KERMIT, a constraint-based tutor that taught database design. In later work, we re-implemented KERMIT as EER-Tutor, and extended its instructional domain. Several evaluation studies performed with KERMIT and EER-Tutor show that they are effective Intelligent Tutoring Systems (ITSs). We also comment on various extensions made to EER-Tutor over the years. There are several contributions of our research, such as developing effective problem-solving support for conceptual database design in terms of interface design. Our database design tutors deal with large solution spaces efficiently by specifying constraints that capture equivalent solution states, and using ideal solutions to capture the semantics of the problem. Instead of requiring a problem solver, the ITS checks whether the student?s database schema is correct by matching it to constraints and the ideal solution. Another contribution of our work is in guidelines for developing effective feedback to the student.
CitationMitrovic, A., Suraweera, P. (2016) Teaching Database Design with Constraint-Based Tutors. International Journal of Artificial Intelligence in Education, 26(1), pp. 448-456.
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KeywordsKERMIT; EER-Tutor; teaching design tasks; ill-defined task
ANZSRC Fields of Research08 - Information and Computing Sciences::0801 - Artificial Intelligence and Image Processing::080101 - Adaptive Agents and Intelligent Robotics
13 - Education::1303 - Specialist Studies in Education::130306 - Educational Technology and Computing