The effects of assessment design on academic dishonesty, learner engagement, and certification rates in MOOCs-Reference-Cited by-同舟云学术

The effects of assessment design on academic dishonesty, learner engagement, and certification rates in MOOCs

Published:2022-09-22 Issue:1 Volume:39 Page:141-153
ISSN:0266-4909
Container-title:Journal of Computer Assisted Learning
language:en
Short-container-title:Computer Assisted Learning

Author:

Alexandron Giora¹^ORCID,Wiltrout Mary Ellen²,Berg Aviram¹,Gershon Sa'ar Karp¹,Ruipérez‐Valiente José A.³

Affiliation:

1. Department of Science Teaching Weizmann Institute of Science Rehovot Israel

2. Department of Biology Massachusetts Institute of Technology Cambridge Massachusetts USA

3. Department of Information and Communications Engineering University of Murcia Murcia Spain

Funder

Ministry of Science and Technology

Publisher

Wiley

Subject

Computer Science Applications,Education

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jcal.12733

Reference96 articles.

1. Plagiarism and programming: A survey of student attitudes;Aasheim C. L.;Journal of Information Systems Education,2012

2. Measuring student's proficiency in MOOCs: multiple attempts extensions for the Rasch model

3. Assessment in massive open online courses;Admiraal W.;Electronic Journal of E‐learning,2015

4. Examining the effect of proctoring on online test scores;Alessio H. M.;Online Learning Journal,2017

5. Alexandron G. Lee S. Chen Z. andPritchard D. E.(2016).Detecting cheaters in MOOCs using item response theory and learning analytics. InProceedings of the 6th International Workshop on Personalization Approaches in Learning Environments p.53–56.

Cited by 6 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. Navigating the online learning journey by self-regulation: Teachers as learners;Computers & Education;2024-10

2. Fast certificate issuance in a Moodle‐based MOOC platform: A large‐scale study;Journal of Computer Assisted Learning;2024-08-20

3. Leveraging Learning Analytics to Improve Student Engagement;Perspectives on Learning Analytics for Maximizing Student Outcomes;2023-10-24

4. M-Learning adoption in higher education towards SDG4;Future Generation Computer Systems;2023-10

5. A General Purpose Anomaly-based Method for Detecting Cheaters in Online Courses;IEEE Transactions on Learning Technologies;2023