Alireza Ahadi
Raymond Lister
Arto Vihavainen
ABSTRACT
This paper explores the relationship between student performance on online programming exercises completed during semester with subsequent student performance on a final exam. We introduce an approach that combines whether or not a student produced a correct solution to an online exercise with information on the number of attempts at the exercise submitted by the student. We use data collected from students in an introductory Java course to assess the value of this approach. We compare the approach that utilizes the number of attempts to an approach that simply considers whether or not a student produced a correct solution to each exercise. We found that the results for the method that utilizes the number of attempts correlates better with performance on a final exam.
- A. Ahadi, R. Lister, H. Haapala, and A. Vihavainen. Exploring machine learning methods to automatically identify students in need of assistance. In Proceedings of the Eleventh Annual International Conference on International Computing Education Research, ICER '15, pages 121{130, New York, NY, USA, 2015. ACM. Google Scholar
Digital Library
- M. C. Jadud. Methods and tools for exploring novice compilation behaviour. In Proceedings of the second international workshop on Computing education research, pages 73--84. ACM, 2006. Google ScholarDigital Library
- A. Papoulis. Probability and Statistics. Prentence-Hall International Editions, 1990. Google ScholarDigital Library
- M. M. T. Rodrigo, E. Tabanao, M. B. E. Lahoz, and M. C. Jadud. Analyzing online protocols to characterize novice Java programmers. Philippine Journal of Science, 138(2):177--190, 2009.Google Scholar
- C. Watson, F. W. Li, and J. L. Godwin. Predicting performance in an introductory programming course by logging and analyzing student programming behavior. In Advanced Learning Technologies (ICALT), 2013 IEEE 13th International Conference on, pages 319--323. IEEE, 2013. Google ScholarDigital Library
- F. Yates. Contingency tables involving small numbers and the Ï G2 test. Supplement to the Journal of the Royal Statistical Society, 1(2):217--235, 1934Google ScholarCross Ref
Index Terms
- On the Number of Attempts Students Made on Some Online Programming Exercises During Semester and their Subsequent Performance on Final Exam Questions
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