Informática
Facultad
Weizmann Institute of Science
Rejovot, IsraelPublicaciones en colaboración con investigadores/as de Weizmann Institute of Science (8)
2024
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A General Purpose Anomaly-Based Method for Detecting Cheaters in Online Courses
IEEE Transactions on Learning Technologies, Vol. 17, pp. 1-11
2023
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The effects of assessment design on academic dishonesty, learner engagement, and certification rates in MOOCs
Journal of Computer Assisted Learning, Vol. 39, Núm. 1, pp. 141-153
2022
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Evaluating a learning analytics dashboard to detect dishonest behaviours: A case study in small private online courses with academic recognition
Journal of Computer Assisted Learning, Vol. 38, Núm. 6, pp. 1574-1588
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Trustworthy remote assessments: A typology of pedagogical and technological strategies
Journal of Computer Assisted Learning, Vol. 38, Núm. 6, pp. 1507-1520
2020
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Assessment that matters: Balancing reliability and learner-centered pedagogy in MOOC assessment
ACM International Conference Proceeding Series
2019
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Are MOOC Learning Analytics Results Trustworthy? With Fake Learners, They Might Not Be!
International Journal of Artificial Intelligence in Education, Vol. 29, Núm. 4, pp. 484-506
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Towards a general purpose anomaly detection method to identify cheaters in massive open online courses
EDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining
2018
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Evaluating the Robustness of Learning Analytics Results Against Fake Learners
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)