Prediction of Students’ Performance Based on Their Learning Experiences and Assessments: Statistical and Neural Network Approaches
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-14756-2_2
Reference36 articles.
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3. Fuller, U., et al.: Developing a computer science-specific learning taxonomy. ACM SIGCSE Bull. 39(4), 152–170 (2007). https://doi.org/10.1145/1345375.1345438
4. Britto, R., Usman, M.: Bloom’s taxonomy in software engineering education: a systematic mapping study. In: 2015 IEEE Frontiers in Education Conference (FIE), pp. 1–8 (2015). https://doi.org/10.1109/FIE.2015.7344084
5. Peter, D., Leth, T., Bent, T.: Assessing problem-based learning in a software engineering curriculum using bloom’s taxonomy and the IEEE software engineering body of knowledge. ACM Trans. Comput. Educ. 16(3), 1–41 (2016)
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