Assessing Cheating in MOOCs-Reference-Cited by-同舟云学术

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Assessing Cheating in MOOCs

Published:2023-10-11 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Learning with MOOCS (LWMOOCS)
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Author:

Dreifuss-Serrano Cristina¹^ORCID,Herrera Pablo C.²^ORCID,Reátegui José²^ORCID,Braida Frederico³^ORCID

Affiliation:

1. Universidad Privada del Norte,Facultad de Arquitectura y Diseño,Lima,Perú

2. Universidad Peruana de Ciencias Aplicadas,Facultad de Arquitectura,Lima,Perú

3. Universidade Federal de Lluiz de Fora,Faculdade de Arquitetura e Urbanismo,Lluis de Fora,Brazil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10305710/10305719/10306238.pdf?arnumber=10306238

Reference46 articles.

1. A Systematic Literature Review on the Quality of MOOCs

2. Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses

3. Using Machine Learning to Detect ‘Multiple-Account’ Cheating and Analyze the Influence of Student and Problem Features;reuiperez-valiente;IEEE Transactions on Learning Technologies,2017

4. What Drives a Successful MOOC? An Empirical Examination of Criteria to Assure Design Quality of MOOCs

5. Massive Open Online Course Evaluation Methods: Systematic Review

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