The Use of Data Mining to Determine Cheating in Online Student Assessment
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/4019694/4019695/04019731.pdf?arnumber=4019731
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Reconceptualizing Curriculum Design and the Scholarship of Teaching and Learning in an ODeL Institution: The Introduction of Technology-Enhanced Learning;Higher Education - Reflections From the Field - Volume 1;2023-11-02
2. Detecting Cheating in Large-Scale Assessment: The Transfer of Detectors to New Tests;Educational and Psychological Measurement;2022-11-04
3. Data Mining of Online Quiz Log Files: Creation of Automated Tools for Identification of Possible Academic Misconduct in a Large STEM Course;Academic Integrity: Broadening Practices, Technologies, and the Role of Students;2022
4. Distance Learning in Chemical Engineering;Handbook of Research on Determining the Reliability of Online Assessment and Distance Learning;2021
5. The Detection of Cheating on E-Exams in Higher Education—The Performance of Several Old and Some New Indicators;Frontiers in Psychology;2020-10-02
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