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Direct linkMaite Alguacil; Noemí Herranz-Zarzoso; José C. Pernías; Gerardo Sabater-Grande – Journal of Computing in Higher Education, 2024
Cheating in online exams without face-to-face proctoring has been a general concern for academic instructors during the crisis caused by COVID-19. The main goal of this work is to evaluate the cost of these dishonest practices by comparing the academic performance of webcam-proctored students and their unproctored peers in an online gradable test.…
Descriptors: Cheating, Computer Assisted Testing, Randomized Controlled Trials, Supervision
Download full textNdubuisi Friday Ugwu; Raphael Ezamenyi Ochiaka; Ugochukwu Simeon Asogwa; Adewumi Segun Igbinlade; Kamorudeen Taiwo Sanni; Toyin Segun Onayinka; Obinna Iroegbu; Michael Olayinka Irewole; Jacob Kehinde Opele; Abiodun Oyetunde Oloyede; Ndidi Christiana Ibenyenwa; Oladipo Adeyeye Olubodun – Higher Learning Research Communications, 2025
Objective: Our study aimed to compare the efficacy of artificial intelligence (AI)-based immersive training with human-led workshops to improve the English language skills of non-English early career researchers (NEECRs) in a Nigerian public university. Methods: Our study employed a randomized pretest/posttest control group design. A total of 124…
Descriptors: Artificial Intelligence, Technology Uses in Education, Workshops, Researchers
Claire Allen-Platt; Clara-Christina Gerstner; Robert Boruch; Alan Ruby – Society for Research on Educational Effectiveness, 2021
Background/Context: When a researcher tests an educational program, product, or policy in a randomized controlled trial (RCT) and detects a significant effect on an outcome, the intervention is usually classified as something that "works." When the expected effects are not found, however, there is seldom an orderly and transparent…
Descriptors: Educational Assessment, Randomized Controlled Trials, Evidence, Educational Research
