Author:
Trstenjak Bruno,Donko Dzenana
Cited by
13 articles.
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1. Evolving Towards a Trustworthy AIEd Model to Predict at Risk Students in Introductory Programming Courses;Proceedings of the 2023 Conference on Human Centered Artificial Intelligence: Education and Practice;2023-12-14
2. (SDGFI) Student’s Demographic and Geographic Feature Identification Using Machine Learning Techniques for Real-Time Automated Web Applications;Mathematics;2022-08-28
3. PreSS;Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1;2022-07-07
4. Predicting Students Performance in Exams using Machine Learning Techniques;2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence);2022-01-27
5. Predicting Student Performance from Online Engagement Activities Using Novel Statistical Features;Arabian Journal for Science and Engineering;2022-01-17