Publication Date
| In 2026 | 0 |
| Since 2025 | 2438 |
| Since 2022 (last 5 years) | 5993 |
| Since 2017 (last 10 years) | 6937 |
| Since 2007 (last 20 years) | 7394 |
Descriptor
Source
Author
| Danielle S. McNamara | 26 |
| Gwo-Jen Hwang | 19 |
| Mihai Dascalu | 17 |
| McNamara, Danielle S. | 14 |
| Hwang, Gwo-Jen | 13 |
| Aleven, Vincent | 12 |
| Jiahong Su | 12 |
| Wanli Xing | 12 |
| Chenglu Li | 11 |
| Dragan Gaševic | 11 |
| Koedinger, Kenneth R. | 11 |
| More ▼ | |
Publication Type
Education Level
Audience
| Researchers | 244 |
| Teachers | 208 |
| Practitioners | 181 |
| Policymakers | 88 |
| Administrators | 72 |
| Students | 55 |
| Media Staff | 10 |
| Counselors | 5 |
| Parents | 4 |
| Support Staff | 4 |
| Community | 3 |
| More ▼ | |
Location
| China | 391 |
| Turkey | 199 |
| Australia | 131 |
| United States | 123 |
| Taiwan | 118 |
| United Kingdom | 116 |
| India | 107 |
| South Korea | 99 |
| Canada | 92 |
| Germany | 92 |
| Indonesia | 92 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 1 |
| Meets WWC Standards with or without Reservations | 1 |
Mimi Ismail; Ahmed Al - Badri; Said Al - Senaidi – Journal of Education and e-Learning Research, 2025
This study aimed to reveal the differences in individuals' abilities, their standard errors, and the psychometric properties of the test according to the two methods of applying the test (electronic and paper). The descriptive approach was used to achieve the study's objectives. The study sample consisted of 74 male and female students at the…
Descriptors: Achievement Tests, Computer Assisted Testing, Psychometrics, Item Response Theory
Zola Chi-Chin Lai – International Journal of Computer-Assisted Language Learning and Teaching, 2025
This study examines the impact of artificial intelligence (AI)-assisted blended learning on writing self-efficacy and resilience among lower intermediate English as a foreign language learners. Using a quasi-experimental design, it compares outcomes of an experimental group using AI tools with a control group receiving traditional instruction.…
Descriptors: Artificial Intelligence, Blended Learning, Writing Instruction, English (Second Language)
Marie Utterberg Modén; Marisa Ponti; Johan Lundin; Martin Tallvid – Scandinavian Journal of Educational Research, 2025
The paper emphasises the need to consider the social, political, and economic contexts within which educational systems operate and use Artificial Intelligence (AI). Focused on Swedish compulsory education, this study explores whether the use of AI envisioned by national authorities and educational technology companies contributes to unfairness.…
Descriptors: Ethics, Equal Education, Compulsory Education, Artificial Intelligence
Peter Pavlis – Online Submission, 2025
This quantitative, quasi-experimental study aimed to propose research-based AI constructivist learning activities by measuring students' self-perceptions of their critical thinking using the Motivational Strategies and Learning Questionnaire (MSLQ). The study utilized the input-experience-output framework to evaluate how these learning pursuits…
Descriptors: Critical Thinking, Artificial Intelligence, Constructivism (Learning), Learning Activities
Zhonggui Xin; Ali Derakhshan – European Journal of Education, 2025
The use of artificial intelligence (AI) technologies in second/foreign language education has recently gained a bulk of attention. However, the emotional experiences of English as a foreign language (EFL) learners in AI-mediated classes have been ignored. To fill this gap, the present qualitative study examined 34 Chinese EFL students' perceptions…
Descriptors: Artificial Intelligence, Second Language Instruction, Educational Technology, Technology Uses in Education
Mohammed Alwaqdani – Education and Information Technologies, 2025
This paper investigated teachers' perceptions towards the integration of Artificial Intelligence educational tools (AIED) into their educational practices. Indeed, AI rapidly advances across various fields, including education, and it is essential to understand teachers' perceptions to effectively harness its potential. The study used a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Teaching Methods
Fulya Torun; Seda Özer Sanal – International Journal of Technology in Education, 2025
Education should strive to keep pace with the developments of the modern world and to fulfill its mission by not deviating from the principles of ethical and effective learning. In this process, it continues to be tested by unstoppable technological developments. GAI, with both its positive and negative effects, has spread incredibly quickly to…
Descriptors: College Students, College Faculty, Teacher Attitudes, Student Attitudes
Saifon Songsiengchai – International Journal of Education and Literacy Studies, 2025
The study aimed to (i) explore the effectiveness of Artificial Intelligence (AI) models like Chat GPT to facilitate English language learning among Thai students in Higher education and (ii) compare the English Language Learning effectiveness among Thai Students after implementing artificial intelligence (AI) like Chat GPT to facilitate English…
Descriptors: Artificial Intelligence, English (Second Language), Second Language Learning, Preservice Teachers
Nicole Mills; Hannah Hok; Arnaud Dressen; Quentin Veillas – Foreign Language Annals, 2025
The Modern Language Association (MLA) published a writing and artificial intelligence (AI) working paper that provided an overview of key issues, concerns, and recommendations to help language educators make principle-driven pedagogical decisions to support critical AI literacy. To address the MLA's recommendations, a collaborative AI writing…
Descriptors: Teaching Methods, Second Language Learning, Second Language Instruction, Artificial Intelligence
Lynn M. Scott; Tiffanie Zaugg; Rebecca Hines; Monica Berns-Conner – Journal of Special Education Leadership, 2025
The integration of Artificial Intelligence (AI) in special education holds promise for transformative changes in special educational leadership and pedagogical practices. Special education leaders play a pivotal role in leveraging AI to address diverse student needs, enhance instructional delivery, personalize learning experiences, and foster…
Descriptors: Artificial Intelligence, Technology Uses in Education, Special Education, Transformational Leadership
Xiaoran Xu; Lei Mee Thien – Journal of Applied Research in Higher Education, 2025
Purpose: This study intends to extend the unified theory of acceptance and use of technology (UTAUT) model by integrating perceived enjoyment as an intrinsic motivation so as to investigate factors influencing Chinese undergraduate English as a Foreign Language (EFL) students' intention to use ChatGPT for English learning.…
Descriptors: Undergraduate Students, English (Second Language), Second Language Learning, Computer Software
Yonit Nissim; Eitan Simon – Journal of Education for Teaching: International Research and Pedagogy, 2025
This preliminary quantitative research investigates preservice teachers' (PSTs) perceptions of adopting ChatGPT, an artificial intelligence (AI) tool, focusing on the early stage of the diffusion of innovation (DOI) process. The study aims to understand PSTs' innovation consciousness and how it influences their perceptions of integrating ChatGPT…
Descriptors: Models, Technology Integration, Artificial Intelligence, Constructivism (Learning)
Satoru Uchida – Vocabulary Learning and Instruction, 2025
Since its emergence, generative AI has significantly impacted various fields, including English language education. Numerous academic studies have investigated its capabilities in grammar correction, writing evaluation, and dynamics of user interaction. However, there have been insufficient investigations into whether texts generated by such AI…
Descriptors: Vocabulary Development, Language Proficiency, Rating Scales, Guidelines
Yun Wen; Mingming Chiu; Xinyu Guo; Zhan Wang – British Journal of Educational Technology, 2025
In this exploratory mixed-methods study, we introduce and test our AI-powered vocabulary learning system--ARCHe, which embeds four AI functions: (1) automatic feedback towards for pronunciation, (2) automatic feedback for towards handwriting, (3) automatic scoring for student-generated sentences and (4) automatic recommendations. Specifically, our…
Descriptors: Artificial Intelligence, Elementary School Students, Elementary School Teachers, Teaching Methods
Yunus Kökver; Hüseyin Miraç Pektas; Harun Çelik – Education and Information Technologies, 2025
This study aims to determine the misconceptions of teacher candidates about the greenhouse effect concept by using Artificial Intelligence (AI) algorithm instead of human experts. The Knowledge Discovery from Data (KDD) process model was preferred in the study where the Analyse, Design, Develop, Implement, Evaluate (ADDIE) instructional design…
Descriptors: Artificial Intelligence, Misconceptions, Preservice Teachers, Natural Language Processing

Peer reviewed
Direct link
