Effects of different feedback strategies on academic achievements, learning motivations, and self-efficacy for novice programmers
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Education
Link
https://link.springer.com/content/pdf/10.1007/s11423-023-10223-2.pdf
Reference50 articles.
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2. Alberola, J. M., & Garcia-Fornes, A. (2014). Using feedback for improving the learning process in programming courses. IEEE Revista Iberoamericana De Tecnologias Del Aprendizaje, 9(2), 49–56. https://doi.org/10.1109/RITA.2014.2317529
3. Alemán, J. L. F. (2011). Automated assessment in a programming tools course. IEEE Transactions on Education, 54(4), 576–581. https://doi.org/10.1109/TE.2010.2098442
4. Akahane, Y., Kitaya, H., & Inoue, U. (2015). Design and evaluation of automated scoring Java programming assignments. In K.Saisho (Eds.), IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (pp. 539–544), IEEE.
5. Bernard, R. M. (1995). A meta-analysis of the effects of feedback in computer-based instruction. Journal of Educational Computing Research, 13(2), 111–127. https://doi.org/10.2190/9LMD-3U28-3A0G-FTQT.
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