Publication Date
| In 2026 | 0 |
| Since 2025 | 94 |
Descriptor
Source
Author
| Chih-Pu Dai | 2 |
| Fengfeng Ke | 2 |
| Nuodi Zhang | 2 |
| Xin Yuan | 2 |
| Abdelali Zakrani | 1 |
| Abdellah Bennane | 1 |
| Abdelwahed Namir | 1 |
| Abejide Ade-Ibijola | 1 |
| Adeyinka Tella | 1 |
| Adish Singla | 1 |
| Afsana Azmari | 1 |
| More ▼ | |
Publication Type
Education Level
Audience
| Teachers | 4 |
| Policymakers | 3 |
| Administrators | 2 |
| Researchers | 2 |
Location
| China | 9 |
| South Korea | 4 |
| United States | 4 |
| Australia | 3 |
| Europe | 3 |
| Indonesia | 3 |
| Italy | 3 |
| Turkey | 3 |
| Asia | 2 |
| Germany | 2 |
| India | 2 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Fengjuan Wang; Azilawati Jamaludin; Aik Lim Tan – Learning: Research and Practice, 2025
The neurocognitive mechanisms underlying prevalent learning disorders, such as dyslexia, dyscalculia, and their comorbidity, remain unclear and are the subject of ongoing debate. The core-deficit hypothesis has long been the dominant theory explaining these mechanisms across various learning disorders. However, this hypothesis faces criticism for…
Descriptors: Dyslexia, Learning Disabilities, Artificial Intelligence, Computer Simulation
Alex Barrett; Fengfeng Ke; Nuodi Zhang; Chih-Pu Dai; Saptarshi Bhowmik; Xin Yuan; Sherry Southerland – Journal of Technology and Teacher Education, 2025
This case study reports on the perceptions and dialogic behaviors of 15 preservice K-12 teachers engaging in simulation-based teaching practice with AI-powered student agents. Data included transcripts of text-based classroom dialogue, interviews, observations, and conversation logs. Using mixed-methods analyses and a framework of ambitious…
Descriptors: Preservice Teachers, Artificial Intelligence, Computer Simulation, Dialogs (Language)
Bahar Radmehr; Tanja Kaser; Adish Singla – Journal of Educational Data Mining, 2025
There has been a growing interest in developing simulated learners to enhance learning and teaching experiences in educational environments. However, existing works have primarily focused on structured environments relying on meticulously crafted representations of tasks, thereby limiting the learner's ability to generalize skills across tasks. In…
Descriptors: Generalization, Reinforcement, Computer Simulation, Artificial Intelligence
Alex Lyman; Bryce Hepner; Lisa P. Argyle; Ethan C. Busby; Joshua R. Gubler; David Wingate – Sociological Methods & Research, 2025
Generative artificial intelligence (AI) has the potential to revolutionize social science research. However, researchers face the difficult challenge of choosing a specific AI model, often without social science-specific guidance. To demonstrate the importance of this choice, we present an evaluation of the effect of alignment, or human-driven…
Descriptors: Artificial Intelligence, Computer Simulation, Open Source Technology, Social Science Research
Jamal Eddine Rafiq; Abdelwahed Namir; Abdelali Zakrani; Mohammed Amraouy; Abdellah Bennane – Journal of Educators Online, 2025
This study examines the evolution of educational practices in the digital era and the integration of information technologies in teaching. Through an automated search in six digital libraries, we identified 99 relevant studies spanning the period from 1990 to 2021. We draw on a systematic mapping approach to classify these studies for better…
Descriptors: Educational Development, Educational Practices, Information Technology, Artificial Intelligence
Austin C. Kozlowski; James Evans – Sociological Methods & Research, 2025
Large language models (LLMs), through their exposure to massive collections of online text, learn to reproduce the perspectives and linguistic styles of diverse social and cultural groups. This capability suggests a powerful social scientific application--the simulation of empirically realistic, culturally situated human subjects. Synthesizing…
Descriptors: Artificial Intelligence, Social Science Research, Computer Simulation, Research Methodology
Stephen J. Lind – Journal of Workplace Learning, 2025
Purpose: This study aims to investigate the effectiveness of widely adopted but under-studied synthetic humanlike spokespersons (SHS) compared to organic human spokespersons in workplace training videos. The primary aim is to evaluate whether employees will rate training videos more negatively when they perceive their trainer to be synthetic such…
Descriptors: Job Training, Trainees, Artificial Intelligence, Video Technology
Seyedeh Toktam Masoumian Hosseini; Karim Qayumi; Ata Pourabbasi; Elnaz Haghighi; Babak Sabet; Alireza Koohpaei; Zahra Shafiei; Mohsen Masoumian Hosseini; Parniya Nemati – Discover Education, 2025
Background: This study aims to explore the diverse applications of contemporary technological innovations in education and to propose effective strategies for their integration into the curriculum, addressing the complexities and collaborative efforts required for meaningful learning experiences. Methods: This systematic review examines the…
Descriptors: Technology Integration, Educational Technology, Artificial Intelligence, Computer Simulation
Sultan Narin; Zeynep Comert; Yavuz Samur – Turkish Online Journal of Distance Education, 2025
The metaverse, which has a history of about thirty years in written literature, became the agenda of humanity again in the first quarter of the twenty-first century. Although it seems almost impossible today to draw the boundaries of the experience that this technology, which arouses great excitement, will offer, it is possible to say that…
Descriptors: Teacher Attitudes, Technology Uses in Education, Affordances, Barriers
Tugba Uygun; Ali Sendur; Beyza Top; Kadriye Cosgun-Basegmez – Education and Information Technologies, 2025
Although augmented reality has become one of the most commonly used materials that support learning, especially in learning geometric concepts, it is avoided to be used in the lessons due to its complex structure. At that point, artificial intelligence working as a personal assistant in many fields can help us learn to produce our own model with…
Descriptors: Preservice Teachers, Mathematics Skills, Geometry, Artificial Intelligence
Jiaxin Ren; Yee Hock Tan; Juncheng Guo – International Journal of Technology in Education, 2025
The metaverse is a virtual reality space that provides a novel and significant environment, fostering educational opportunities and serving as a rich platform for innovative forms of learning. This bibliometric analysis uses the Scopus database as a source for review, employing the PRISMA method to identify 270 articles, with visualisation…
Descriptors: Educational Research, Journal Articles, Computer Simulation, Artificial Intelligence
Chenghao Wang; Bin Zou – TESOL Journal, 2025
Avatars play a significant role in Artificial Intelligence (AI)-powered education, supported by various human-computer interactions and second language acquisition theories. AI avatars have become increasingly anthropomorphic and realistic with advancements in speech synthesis, speech-driven lip-syncing, and speech-to-facial animation. D-ID Studio…
Descriptors: Computer Simulation, Artificial Intelligence, Computer Uses in Education, Second Language Instruction
Harikesh Singh; Li-Minn Ang; Dipak Paudyal; Mauricio Acuna; Prashant Kumar Srivastava; Sanjeev Kumar Srivastava – Technology, Knowledge and Learning, 2025
Wildfires pose significant environmental threats in Australia, impacting ecosystems, human lives, and property. This review article provides a comprehensive analysis of various empirical and dynamic wildfire simulators alongside machine learning (ML) techniques employed for wildfire prediction in Australia. The study examines the effectiveness of…
Descriptors: Artificial Intelligence, Computer Software, Computer Simulation, Prediction
Ece Avinç; Fatih Dogan – Journal of Interdisciplinary Studies in Education, 2025
Metaverse in education has the potential to transform education by providing students with interactive, immersive and personalized learning experiences. This study examined the impact of Metaverse on the perceptions of pre-service science teachers. The study was designed in two stages. In the first stage, semi-structured preliminary interview…
Descriptors: Preservice Teachers, Science Teachers, Technology Uses in Education, Computer Simulation
Weijian Yan; Victoria L. Lowell – TechTrends: Linking Research and Practice to Improve Learning, 2025
Virtual Reality (VR) has been utilized in foreign language education for over 50 years, and it has gone through four distinct stages in foreign language education: Two-dimensional (2D) text-based VR, three-dimensional (3D) desktop-based VR, 3D HMD-based VR, and AI-enhanced 3D HMD-based VR. Drawing on relevant studies and examples, this article…
Descriptors: Computer Simulation, Second Language Instruction, Second Language Learning, Artificial Intelligence

Peer reviewed
Direct link
