Improvement of the Quality of Question Papers for Online Examinations Toward Simultaneous Enhancement of Students’ Learning

计算机科学 质量(理念) 电子学习 多媒体 数学教育 教育技术 心理学 哲学 认识论
作者
Srikanth Allamsetty,M.V. Satya Sai Chandra,Neelima Madugula,Byamakesh Nayak
出处
期刊:IEEE Transactions on Learning Technologies [Institute of Electrical and Electronics Engineers]
卷期号:17: 135-142
标识
DOI:10.1109/tlt.2023.3272361
摘要

The present study is related to the problem associated with student assessment with online examinations at higher educational institutes (HEIs). With the current COVID-19 outbreak, the majority of educational institutes are conducting online examinations to assess their students, where there would always be a chance that the students go for malpractice. It is difficult to set a question paper for any technical course with great novelty. Under these circumstances, safeguarding academic integrity has become a challenge for HEIs. This study is aimed at improving the quality of questions for online exams to increase the accountability of HEIs by proper evaluation of their students. A detailed procedure with suggestions for setting the questions for technical courses, in the format of assertion and reason, matching, multiple select types, etc., has been discussed with adequate examples. It deals with a strategy for ensuring that all the students are held to the standards that are reflected in their grades. The proposed evaluation method has been implemented on a test batch and presented the results along with a comparison with that of traditional question papers. It is witnessed that there is a simultaneous enhancement of students' learning as an additional benefit of implementing the proposed learning-oriented assessment method.

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