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Gabriela Trindade Perry; Marlise Bock Santos – Journal of Computer Assisted Learning, 2024
Background: Instances of academic dishonesty are common in online learning environments because difficulties in their detection result in considerably low degrees of risks. However, if not identified, the noise introduced by dishonest learners in MOOCs' clickstream data could lead to biased results and conclusions in scientific research.…
Descriptors: Foreign Countries, MOOCs, Distance Education, Electronic Learning
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Norval, Graeme W.; Chan, Ariel W. – Journal of Chemical Education, 2022
The Chemical Engineering program at the University of Toronto has been in existence since 1904. In this first statistical study of graduating student performance, 10 years of student data have been analyzed. Data for more than 1100 graduated students were evaluated in the core mathematics and engineering science courses. There are no gender-based…
Descriptors: Gender Differences, Academic Achievement, Lifelong Learning, Chemical Engineering