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

Author:

Alexandron Giora1ORCID,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

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.

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