Publication Date
| In 2026 | 0 |
| Since 2025 | 710 |
| Since 2022 (last 5 years) | 3560 |
| Since 2017 (last 10 years) | 7426 |
| Since 2007 (last 20 years) | 15010 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Practitioners | 2852 |
| Teachers | 2010 |
| Researchers | 608 |
| Administrators | 473 |
| Media Staff | 268 |
| Students | 245 |
| Policymakers | 202 |
| Parents | 78 |
| Counselors | 33 |
| Support Staff | 22 |
| Community | 21 |
| More ▼ | |
Location
| Australia | 499 |
| United Kingdom | 474 |
| Turkey | 472 |
| Canada | 364 |
| China | 307 |
| Taiwan | 248 |
| United States | 228 |
| Indonesia | 222 |
| Spain | 221 |
| California | 195 |
| Germany | 163 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 11 |
| Meets WWC Standards with or without Reservations | 16 |
| Does not meet standards | 17 |
Ji-young Shin; Yujeong Choi – Language Learning & Technology, 2025
The use of AI-powered chatbots has recently been extensively examined for second language (L2) learning. While their positive effects have been widely reported regarding L2 English learning, studies involving less commonly taught languages (LCTLs) are scant. The current study incorporated an AI chatbot called Iruda in L2 Korean teaching, to…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Korean
Kean Birch; Janja Komljenovic; Sam Sellar; Morten Hansen – Learning, Media and Technology, 2025
The COVID pandemic highlighted the increasing deployment of digital technologies in educational institutions, defined as 'edtech'. The most visible edtech was video conferencing software, but a swathe of edtech startups have sought to roll out their products and services to educational institutions. We focus specifically on the deployment of…
Descriptors: Educational Technology, Technology Uses in Education, Higher Education, Videoconferencing
Chimezie O. Amaefule; Jan Britzwein; Jason C. Yip; Garvin Brod – Education and Information Technologies, 2025
Self-regulated learning (SRL) involves processes by which learners purposefully direct their cognitions, emotions, and behaviors towards the achievement of personal learning goals. Research has shown that young learners often struggle with SRL. Educational technology could be useful to support their SRL. However, it remains unclear how support…
Descriptors: Childrens Attitudes, Independent Study, Self Management, Educational Technology
Madhu Prabakaran – Higher Education for the Future, 2025
This article explores the diverse epistemic perspectives on intelligence, tracing its conceptual evolution across early Indian philosophy, Western philosophical thought and contemporary computational theories. Intelligence is examined as a dynamic, multifaceted phenomenon that transcends mere cognition, extending into embodied, ecological and…
Descriptors: Teaching Methods, Artificial Intelligence, Computer Software, Philosophy
Venus Chan – Interactive Technology and Smart Education, 2025
Purpose: Studies on technology and interpreting have increasingly explored how technology influences the role and performance of interpreters in their practice; however, there is a lack of comprehensive reviews and analyses. This paper aims to synthetically review the state-of-the-art application and integration of various interpreting…
Descriptors: Influence of Technology, Communications, Translation, Technology
Weijiao Huang; Khe Foon Hew – IEEE Transactions on Learning Technologies, 2025
In an online learning environment, both instruction and assessments take place virtually where students are primarily responsible for managing their own learning. This requires a high level of self-regulation from students. Many online students, however, lack self-regulation skills and are ill-prepared for autonomous learning, which can cause…
Descriptors: Independent Study, Interpersonal Relationship, Electronic Learning, Computer Software
Mark Frydenberg; Anqi Xu; Jennifer Xu – Information Systems Education Journal, 2025
This study explores student perceptions of learning to code by evaluating AI-generated Python code. In an experimental exercise given to students in an introductory Python course at a business university, students wrote their own solutions to a Python program and then compared their solutions with AI-generated code. They evaluated both solutions…
Descriptors: Student Attitudes, Programming, Computer Software, Quality Assurance
Yuening Zhang – Issues in Science and Technology Librarianship, 2025
Research support demonstrates the value of academic libraries and librarians. Recent studies have revealed that research support has been evolving from traditional citation analysis to advanced library services such as research field trend/frontiers analysis and talent evaluation. Using a powerful bibliometric tool CiteSpace and "active…
Descriptors: Research, Trend Analysis, Publications, Citation Analysis
David R. Firth; Adam Gonzales; Michelle Louch; Bryan Hammer – Information Systems Education Journal, 2025
ChatGPT is having an impact on students, and information systems (IS) and computing academic professionals alike. Our goal for this paper is to help faculty and students know the conditions in which generative AI such as ChatGPT should or should not be used. To that end, we describe the development of a 2x2 matrix. On the horizontal axis we have…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Information Systems
Melissa Fortner; Iva Katzarska-Miller – Teaching of Psychology, 2025
Introduction: Recent advancements in generative AI (GAI) platforms appear to mark an abrupt shift in higher education. Statement of the Problem: Instructors have a responsibility to teach students to use GAI, which is a promising tool for promoting personalized, student-centered, process-focused learning environments. Literature Review: Drawing on…
Descriptors: Artificial Intelligence, Majors (Students), Computer Software, Student Centered Learning
Ted K. Mburu; Kangxuan Rong; Campbell J. McColley; Alexandra Werth – Journal of Engineering Education, 2025
Background: This study investigates the use of large language models to create adaptive, contextually relevant survey questions, aiming to enhance data quality in educational research without limiting scalability. Purpose: We provide step-by-step methods to develop a dynamic survey instrument, driven by artificial intelligence (AI), and introduce…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Computational Linguistics
Weiting Yuan – Studies in Applied Linguistics & TESOL, 2025
Few studies have considered the micro-analysis of written laughter in the digital world in its sequential context (beyond frequency and distribution). The present study fills this gap by examining "transcribed" laughter "[Chinese symbols omitted](haha)" in Chinese conversations on WeChat from a conversation analytic…
Descriptors: Computer Software, Computer Mediated Communication, Chinese, Orthographic Symbols
Preet Chandan Kaur; Leena Ragha – Education and Information Technologies, 2025
Video summarization is a method of deducing the content of video content for generating a summary in video format. The generated summary should have the significant segments of raw video. Recently, the content of video has been rapidly increasing, thus automatic video summarization is beneficial for individuals who want to keep time and learn more…
Descriptors: Semantics, Video Technology, Audio Equipment, Linguistic Input
Implementation of a Computerized Tool to Address Barriers to Academic Success among College Students
Amelia M. Arria; Christina E. Parisi; Brittany A. Bugbee; Kathryn B. Vincent – Journal of American College Health, 2025
Objective: Academic assistance professionals work with college students to address barriers to academic success, although few assessment tools exist. This feasibility study examined the results of implementing a computerized tool for academic assistance professionals to help students. The Measure of Obstacles to Succeeding Academically in College…
Descriptors: Academic Achievement, Barriers, Risk Assessment, Academic Support Services
Yimin Ning; Wenjun Zhang; Dengming Yao; Bowen Fang; Binyan Xu; Tommy Tanu Wijaya – Education and Information Technologies, 2025
The integration of AI in education highlights the significance of Teachers' AI Literacy (TAIL). Existing assessment tools, however, are hindered by incomplete indicators and a lack of practicality for large-scale application, necessitating a more systematic and credible evaluation method. This study is based on a systematic literature review and…
Descriptors: Artificial Intelligence, Rating Scales, Technological Literacy, Factor Analysis

Peer reviewed
Direct link
