NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 1,036 to 1,050 of 28,610 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Zeger-jan Kock; Ulises Salinas-Hernández; Birgit Pepin – Digital Experiences in Mathematics Education, 2025
ChatGPT is a new technological tool with the potential to impact education. Using Vergnaud's notion of "use schemes," we analyzed three interviews with engineering students who discovered ChatGPT and started to develop initial utilization schemes of the tool. Results showed that there were three domains of use of ChatGPT: (a) in…
Descriptors: Engineering Education, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Adenike A. Akinrotimi; Temilola J. Popoola; I. E. Udo – International Journal of Education and Development using Information and Communication Technology, 2025
This paper investigates the impact of Artificial Intelligence (AI) on learning outcomes in Early Childhood Education (ECE) in Nigeria. While AI technologies hold the promise of transforming educational experiences through personalized learning, adaptive assessments, and enhanced engagement, their actual influence on young learners in the Nigerian…
Descriptors: Foreign Countries, Early Childhood Education, Artificial Intelligence, Cognitive Development
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Laura Landon; Nicole Grames; Maggie Gannon; Addison Jarus; Annie Trezza – Journal of Occupational Therapy Education, 2025
The integration of artificial intelligence (AI) in higher education has garnered much attention, prompting educators to thoughtfully examine its implementation within their curricula. This study explores the perceptions of occupational therapy (OT) students regarding the future integration of a novel, course-specific Anatomy AI chatbot: an…
Descriptors: Occupational Therapy, Allied Health Occupations Education, Artificial Intelligence, Computer Uses in Education
Troy Hicks; Kristen Hawley Turner – Solution Tree, 2025
Generative AI affects how students learn to write in more ways than one. Digital literacy experts Troy Hicks and Kristen Hawley Turner explore the ethical and practical challenges of using AI tools in writing lessons. They unpack how AI works and offer strategies that nurture student thinking, creativity, and academic honesty. Learn how to support…
Descriptors: Artificial Intelligence, Technology Uses in Education, Writing Instruction, Thinking Skills
Peer reviewed Peer reviewed
Direct linkDirect link
Peter Karanja Wainaina; Ying Sun – Discover Education, 2025
The rapid emergence of Generative Artificial Intelligence (GenAI) presents both opportunities and challenges for higher education, yet empirical evidence from sub-Sahara African contexts, particularly Kenya, remains limited. This study addresses this gap by examining how university educators' perceptions of GenAI influence their willingness to…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Higher Education
Peer reviewed Peer reviewed
Direct linkDirect link
Deniz Kaya; Ömer Faruk Ursavas; Hatice Yildiz Durak – European Journal of Education, 2025
The aim of this study was to examine the relationships among teacher characteristics, collaboration, the level of artificial intelligence-integrated technological pedagogical content knowledge (AI-TPACK), and teacher enthusiasm, and to comparatively evaluate these relationships through multi-group analysis (MGA) based on gender. The research model…
Descriptors: Teacher Characteristics, Teacher Collaboration, Technological Literacy, Pedagogical Content Knowledge
Peer reviewed Peer reviewed
Direct linkDirect link
Ke Chen; Chaojun Wang; Dai Zhang – European Journal of Education, 2025
Understanding the role of emotion in student learning has become increasingly important in educational research, particularly in physically demanding disciplines such as Physical Education (PE), where motivation, confidence, and emotional resilience are critical for performance and engagement. Despite this, limited attention has been given to how…
Descriptors: Physical Education, Artificial Intelligence, Computer Uses in Education, Undergraduate Students
Peer reviewed Peer reviewed
Direct linkDirect link
Yong, Binbin; Jiang, Xuetao; Lin, Jiayin; Sun, Geng; Zhou, Qingguo – Educational Technology & Society, 2022
Deep learning (DL), as the core technology of artificial intelligence (AI), has been extensively researched in the past decades. However, practical DL education needs large marked datasets and computing resources, which is generally not easy for students at school. Therefore, due to training datasets and computing resources restrictions, it is…
Descriptors: Electronic Learning, Artificial Intelligence, Shared Resources and Services, Instructional Materials
Peer reviewed Peer reviewed
PDF on ERIC Download full text
de Vreeze-Westgeest, Mirjam G. J.; Vogelaar, Bart – Education Sciences, 2022
This study examined auditive and visual working memory and metacognitive knowledge in 92 gifted children (aged between eight and twelve), utilising a pre-test-training-post-test design, known as the cognitive training design. This approach was used to examine the working memory and metacognitive knowledge of gifted children concerning the…
Descriptors: Gifted, Elementary School Students, Cognitive Development, Metacognition
Peer reviewed Peer reviewed
Direct linkDirect link
Rodríguez Cervantes, Celia Josefina; Valadez Sierra, María de los Dolores; Verche, Emilio; Soltero Avelar, Rubén; González Betanzos, Fabiola – Electronic Journal of Research in Educational Psychology, 2022
Introduction: As a result of similar behavioral manifestations across populations, the conspicuous diagnostic confusion of high intellectual ability (HIA) and Attention Deficit Hyperactivity Disorder (ADHD) is often reported. Approaching Executive Functions as underlying processes can assist in distinguishing the two conditions. The principal aim…
Descriptors: Executive Function, Cognitive Ability, Intelligence, Academically Gifted
Peer reviewed Peer reviewed
Direct linkDirect link
Musso, Mariel F.; Cómbita, Lina M.; Cascallar, Eduardo C.; Rueda, M. Rosario – Mind, Brain, and Education, 2022
The objective of this research was to develop robust predictive models of the gains in working memory (WM) and fluid intelligence (Gf) following executive attention training in children, using genetic markers, gender, and age variables. We explore the influence of genetic variables on individual differences in susceptibility to intervention.…
Descriptors: Genetics, Artificial Intelligence, Gender Differences, Age Differences
Peer reviewed Peer reviewed
Direct linkDirect link
Gale Macleod; Marshall Dozier; Rosa Marvell; Gerri Matthews-Smith; Malcolm R. Macleod; Jing Liao – Oxford Review of Education, 2024
This research aimed to describe and evaluate research on the Postgraduate Taught (PGT) sector in the UK from January 2008 to October 2019. The focus on PGT allowed a detailed analysis of an often overlooked part of the HE sector. Methodologically, the research is original in its use of an innovative machine learning approach to a systematic…
Descriptors: Research, Artificial Intelligence, Masters Programs, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
Alyssa Davidson; Pamela Souza – Journal of Speech, Language, and Hearing Research, 2024
Purpose: The contributions from the central auditory and cognitive systems play a major role in communication. Understanding the relationship between auditory and cognitive abilities has implications for auditory rehabilitation for clinical patients. The purpose of this systematic review is to address the question, "In adults, what is the…
Descriptors: Auditory Perception, Cognitive Ability, Adults, Acoustics
Peer reviewed Peer reviewed
Direct linkDirect link
Helen Crompton; Diane Burke – TechTrends: Linking Research and Practice to Improve Learning, 2024
ChatGPT was released to the public in November 30, 2022. This study examines how ChatGPT can be used by educators and students to promote learning and what are the challenges and limitations. This study is unique in providing one of the first systematic reviews using peer review studies to provide an early examination of the field. Using PRISMA…
Descriptors: Artificial Intelligence, Barriers, Technology Uses in Education, Natural Language Processing
Peer reviewed Peer reviewed
Direct linkDirect link
Chris North; David Hills; Pat Maher; Jelena Farkic; Vinicius Zeilmann; Sue Waite; Takako Takano; Heather Prince; Kirsti Pedersen Gurholt; Nkatha Muthomi; Daniel Njenga; Te Hurinui Karaka-Clarke; Susan Houge Mackenzie; Graham French – Journal of Adventure Education and Outdoor Learning, 2024
This is a composite article which brings together the international perspectives of the editorial board of the Journal of Adventure Education and Outdoor Learning to explore the impacts of artificial intelligence (AI) on the field of adventure education and outdoor learning (AE/OL). Building on the AE/OL profession's response to the impacts of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Adventure Education, Outdoor Education
Pages: 1  |  ...  |  66  |  67  |  68  |  69  |  70  |  71  |  72  |  73  |  74  |  ...  |  1908