Publication Date
| In 2026 | 0 |
| Since 2025 | 304 |
| Since 2022 (last 5 years) | 1313 |
| Since 2017 (last 10 years) | 2975 |
| Since 2007 (last 20 years) | 4952 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Teachers | 553 |
| Practitioners | 432 |
| Researchers | 78 |
| Students | 37 |
| Administrators | 31 |
| Policymakers | 14 |
| Parents | 9 |
| Media Staff | 4 |
| Community | 2 |
Location
| Turkey | 194 |
| Australia | 157 |
| China | 132 |
| United Kingdom | 104 |
| Indonesia | 94 |
| Taiwan | 91 |
| Spain | 80 |
| Canada | 70 |
| Saudi Arabia | 62 |
| Iran | 52 |
| Malaysia | 50 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 2 |
| Meets WWC Standards with or without Reservations | 3 |
| Does not meet standards | 4 |
Özge Kübra Yilmaz; Selami Aydin – Reading Research Quarterly, 2025
Reading motivation is critical in learning English as a foreign language (EFL). Therefore, insufficient reading motivation leads to several problems concerning the learners' reading development. One of the strategies to maintain and boost learners' motivation is integrating artificial intelligence (AI) tools into language teaching practices. One…
Descriptors: Reading Materials, Reading Motivation, English (Second Language), Second Language Learning
Tina Jaber Rafidi; Nabiha El Khatib – Discover Education, 2025
As generative AI tools like ChatGPT become increasingly integrated into academic settings, understanding students' perspectives is critical--particularly in underrepresented regions such as Lebanon and Palestine. A mixed-methods approach using survey data and thematic analysis of in-depth interviews was employed to analyze students' perceived…
Descriptors: Cross Cultural Studies, Artificial Intelligence, Technology Integration, Teaching Methods
Molly Chehak; Maggie Debelius; Jake Holtschlag; Grace Kim; Kenny Le; Sarah Lyons; Hugo Nutting; Sophia Oh – International Journal for Students as Partners, 2025
We present a case study of co-creating a policy for the use of generative artificial intelligence (AI) in a writing course at Georgetown University in Washington, DC. Students and faculty in two sections of a required 1st-year writing course worked to draft and respond to a policy about AI and then reflected on the experience. Student reflections…
Descriptors: Artificial Intelligence, Computer Software, Policy Formation, Writing Instruction
Marwa Hafour – Language Learning & Technology, 2025
Mobile apps are becoming part and parcel of our daily lives. Hence, this study examined the differential effects of app modes on listening comprehension and recognition. From a pool of Egyptian EFL sophomores, 107 students were randomly assigned into 3 groups practicing mobile-assisted listening in 3 modalities: Unimodal (n = 35), Bimodal (n =…
Descriptors: Foreign Countries, Multilingualism, English (Second Language), Second Language Learning
Pengfei Zhao; Richard Watson Todd – Australasian Journal of Educational Technology, 2025
Despite the widespread use of PowerPoint in higher education, little is known about how teachers perceive and use its pedagogical affordances -- the potential actions enabled by its features. This qualitative case study examined the perceptions and slide design practices of three Business English teachers at a Thai university. Drawing on…
Descriptors: Computer Software, Higher Education, Teacher Attitudes, Affordances
Tammy D. Lee; Carrie Lee; Mark Newton; Paul Vos; Jennifer Gallagher; Daniel Dickerson; Camryn Regenthal – Journal of Science Teacher Education, 2024
Learning science is a social enterprise that involves students communicating ideas, observations, and findings. Navigating talk between students about scientific concepts and practices is a complex task for teachers. Traditionally, science educators have used a method called microteaching (teaching to peers) as a context for practicing teaching.…
Descriptors: Microteaching, Computer Simulation, Preservice Teachers, Computer Software
Rastislav Metruk – Education and Information Technologies, 2024
In recent years, learners worldwide have expressed increasing interest in mobile learning and the utilization of mobile devices for language learning purposes. However, few research synthesis studies have focused on pronunciation development in relation to employing MALL (mobile-assisted language learning). This review article contributes to the…
Descriptors: Pronunciation Instruction, Teaching Methods, Telecommunications, Handheld Devices
Application of Artificial Intelligence APP in Quality Evaluation of Primary School Science Education
Xufeng Huang – Educational Studies, 2024
Two scientific and systematic evaluation index systems are constructed for primary education APP and Science, Technology, Engineering, and Mathematics (STEM) courses. These systems are revised and confirmed through two rounds of Delphi method. The Delphi method determines an educational application (APP) evaluation index system containing four…
Descriptors: Artificial Intelligence, Science Instruction, STEM Education, Curriculum Evaluation
Fernando Almeida; Zoltan Buzady – Technology, Knowledge and Learning, 2024
This study explores the contribution of serious game teaching technology, such as FLIGBY, to the development of entrepreneurial learning outcomes in the context of an entrepreneurship course in higher education. The sample is composed of 551 students through the construction of a randomized pretest-posttest control group. A quantitative…
Descriptors: Entrepreneurship, Outcomes of Education, Comparative Analysis, Game Based Learning
Gürhan Durak; Serkan Çankaya; Damla Özdemir; Seda Can – International Review of Research in Open and Distributed Learning, 2024
This study aimed to present a comprehensive bibliometric analysis of 1,726 academic studies from among those indexed by the Web of Science database platform between 2013 and 2023, to provide a general framework for the concept of artificial intelligence in education (AIEd). Trends in publications and citations across countries, institutions,…
Descriptors: Educational Change, Teaching Methods, Learning Processes, Artificial Intelligence
Rudy Loock; Benjamin Holt – Technology in Language Teaching & Learning, 2024
At a time when language trainers need to determine how best to integrate new digital tools that provide students with linguistic information, our aim in this article is to assess the potential value of information provided by two types of tools now widely used by students: machine translation via online translators and state-of-the-art generative…
Descriptors: Artificial Intelligence, Teaching Methods, Translation, Computer Assisted Instruction
Fernando Castelló-Sirvent; Vanessa Roger-Monzó; Ricardo Gouveia-Rodrigues – Electronic Journal of e-Learning, 2024
In recent years, academic interest in new developments in Artificial Intelligence (AI) and its ethical challenges in higher education has increased. The new emerging technologies that have become popular among the university community in recent times require an exhaustive study to evaluate their impact on academic integrity and plagiarism. The…
Descriptors: Ethics, Higher Education, Artificial Intelligence, Computer Software
Unggi Lee; Haewon Jung; Younghoon Jeon; Younghoon Sohn; Wonhee Hwang; Jewoong Moon; Hyeoncheol Kim – Education and Information Technologies, 2024
Through design and development research (DDR), we aimed to create a validated automatic question generation (AQG) system using large language models (LLMs) like ChatGPT, enhanced by prompting engineering techniques. While AQG has become increasingly integral to online learning for its efficiency in generating questions, issues such as inconsistent…
Descriptors: Artificial Intelligence, Computer Software, Learning Management Systems, Teaching Methods
Manal Kharbouch; Ambrosio Toval; Francisco Garcia-Sanchez; Alberto Garcia Berna; Jose Luis Fernandez Aleman – IEEE Transactions on Education, 2024
Contribution: This article provides evidence on the influence of serious games (SGs) in software engineering (SE) education on students' scores, exam attendance, and chance of passing. It also highlights the impact of teachers' experience with the implementation of SGs as a learning approach on the aforementioned metrics. Background: Although…
Descriptors: Game Based Learning, Computer Software, Scores, Tests
Brian P. Shaw – Music Educators Journal, 2024
In the coming years, the proliferation of artificial intelligence (AI) will lead to changes and challenges to many traditional practices in school music and beyond, particularly related to student assessment and grading. At the same time, the AI revolution may also facilitate new and exciting directions for assessment and differentiation in music…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Music Education

Peer reviewed
Direct link
