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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
Isaac M. Opper – Annenberg Institute for School Reform at Brown University, 2021
Researchers often include covariates when they analyze the results of randomized controlled trials (RCTs), valuing the increased precision of the estimates over the potential of inducing small-sample bias when doing so. In this paper, we develop a sufficient condition which ensures that the inclusion of covariates does not cause small-sample bias…
Descriptors: Randomized Controlled Trials, Sample Size, Statistical Bias, Artificial Intelligence
