Akbar A. Jahanbakhsh

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About

Akbar A. Jahanbakhsh is a leading researcher at the intersection of educational technology and second language acquisition, with a primary focus on robot-assisted language learning (RALL). His most influential work, the 2024 meta-analysis "Robot-Assisted Language Learning: A Meta-Analysis," has already garnered 42 citations, marking a significant contribution to the field. In this landmark study, Jahanbakhsh synthesized 27 empirical studies encompassing 64 effect sizes from 2,637 participants, systematically evaluating RALL's effectiveness and identifying key moderating variables. His rigorous analysis revealed substantial variability across independent samples, providing critical insights into when and how robotic technologies best support language learning. This work has established Jahanbakhsh as a pivotal figure in understanding the pedagogical potential of human-robot interaction in education. His research not only advances theoretical frameworks but also offers practical guidance for educators and technologists designing next-generation language learning tools. With his meta-analytic approach, Jahanbakhsh has set a new standard for evidence-based practice in technology-enhanced language education, making his work essential reading for researchers and practitioners alike.