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Kashinath Boral; Krishna Kanta Mondal – Journal of Educational Technology Systems, 2025
This study evaluates the performance of three leading AI chatbots--OpenAI's ChatGPT, Google's Gemini, and Microsoft Bing Copilot--in answering multiple choice questions (MCQs) from the UGC-NET Education paper. Using 150 randomly selected questions from examination cycles between June 2019 and December 2023, the chatbots' accuracy was assessed…
Descriptors: Artificial Intelligence, Technology Uses in Education, Multiple Choice Tests, Program Effectiveness
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Walker, Joshua D.; Robinson, Daniel H. – Journal of Experimental Education, 2023
Two-stage testing (TST) involves individual testing followed by taking the same test in teams. Previously, Vogler and Robinson ("The Journal of Experimental Education," 84(4), 787-803, 2016) found that TST facilitated individual performance. The present study addressed methodological limitations in the Vogler and Robinson study in two…
Descriptors: Testing, Undergraduate Students, Test Wiseness, Repetition
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Puerta, Alejandro; Ramírez-Hassan, Andrés – Education Economics, 2022
We examine the effect of an integrity pilot campaign on undergraduates' behavior. As with many costly small-scale experiments and pilot programs, our statistical inference has to rely on small sample size. To tackle this issue, we perform a Bayesian retrospective power analysis. In our setup, a lecturer intentionally makes mistakes that favors…
Descriptors: Ethics, Integrity, Pilot Projects, Undergraduate Students