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Download full textPotsirin Limpinan; Ampawan Yindeemak; Rungfa Pasmala; Manop Nammanee; Thada Jantakoon – Higher Education Studies, 2025
This study presents a comprehensive bibliometric analysis of Artificial Intelligence (AI) research for Multimedia in Education from 2020 to 2024. Using the Dimensions AI database, VOSviewer software and Scimago Graphica, we examined 45 publications to identify key trends, influential contributors, and emerging directions in this rapidly evolving…
Descriptors: Bibliometrics, Artificial Intelligence, Authors, Network Analysis
Kyle R. Van Horn – TESL-EJ, 2024
Building on previous research, this qualitative exploratory study investigates the impact of ChatGPT on English language classes among Korean university students. The researcher uses pre- and post-training surveys, in-class observations, and interviews to explore 120 students' perceptions of their experiences over a 15-week semester. Results…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Direct linkPreeti Bhaskar; Puneet Kumar Gupta – Interactive Technology and Smart Education, 2024
Purpose: This study aims to delve into the perspectives of educators on integrating ChatGPT, an AI language model into management education. In the current research, educators were asked to talk as widely as possible about the perceived benefits, limitations of ChatGPT in management education and strategies to improve ChatGPT for management…
Descriptors: Teacher Attitudes, Artificial Intelligence, Computer Software, Synchronous Communication
Davy Tsz Kit Ng; Jiahong Su; Jac Ka Lok Leung; Samuel Kai Wah Chu – Interactive Learning Environments, 2024
Artificial intelligence (AI) literacy has emerged to equip students with digital skills for effective evaluation, communication, collaboration, and ethical use of AI in online, home, and workplace settings. Countries are increasingly developing AI curricula to support students' technological skills for future studies and careers. However, there is…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Secondary School Students
Johnson, L.; Adams Becker, S.; Hall, C. – New Media Consortium, 2015
The purpose of the report is to inform Australian campus leaders and decision-makers about important developments in technologies supporting teaching, learning, and creative inquiry in tertiary education across the continent. It was produced to explore important developments in technology and forecast their potential impact expressly in an…
Descriptors: Higher Education, Decision Making, College Administration, Educational Technology
Cheung, Alan; Slavin, Robert – Society for Research on Educational Effectiveness, 2016
As evidence-based reform becomes increasingly important in educational policy, it is becoming essential to understand how research design might contribute to reported effect sizes in experiments evaluating educational programs. The purpose of this study was to examine how methodological features such as types of publication, sample sizes, and…
Descriptors: Effect Size, Evidence Based Practice, Educational Change, Educational Policy
Gray, Lucinda; Thomas, Nina; Lewis, Laurie – National Center for Education Statistics, 2010
This report provides national data on the availability and use of educational technology among teachers in public elementary and secondary schools during the winter and spring of 2009. The data are the results of a national teacher-level survey that is one of a set that includes district, school, and teacher surveys on educational technology.…
Descriptors: Educational Technology, Technology Uses in Education, Public Schools, Elementary Schools
