ABSTRACT
My research is focused on developing e-learning systems that provide high-quality feedback on student submitted programming exercises. To create such systems we use a new approach of applying case-based reasoning (CBR) techniques which proved to be successful in other areas such as technical support departments and financial institutions. The increased quality of feedback delivered by our system will help to keep students engaged, which in turn will reduce attrition rates. A prototype system has been tested in several undergraduate Computer Science courses with promising preliminary results. The effectiveness of the completed system will be thoroughly evaluated in CS classrooms.
- B. Allen. Case-Based Reasoning: Business Applications. Communications of the ACM, 37(3):40--42, 1992. Google ScholarDigital Library
- S. Begum, et al. Case-based reasoning systems in the health sciences. Systems, Man, and Cybernetics, 41(4):421--434, 2011. Google ScholarDigital Library
- T. Beaubouef, et al. Why the high attrition rate for computer science students. SIGCSE Bull., 37(2):103--106, 2005. Google ScholarDigital Library
- T. Lacey, et al. Occupational employment projections to 2018. Monthly Labor Review, 132(11), 2009.Google Scholar
- B. López. Case-Based Reasoning: A Concise Introduction. Morgan & Claypool Publishers, 2013. Google ScholarDigital Library
- J. Ridgway, et al. Literature review of e-assessment. Technical report, University of Durham, 2007.Google Scholar
- G. N. Walker. Experimentation in the computer science lab. SIGCSE Bull., 36(4):69--72, 2004. Google ScholarDigital Library
- N. Wiratunga, et al. RubricAce: A Case-based Feedback Recommender for Coursework Assessment. Proceedings of 16th UK Workshop on Case-Based Reasoning, 2011.Google Scholar
Index Terms
- Using case-based reasoning to improve the quality of feedback generated by automated grading systems
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