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Showing 1 to 15 of 18 results Save | Export
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Wali Khan Monib; Atika Qazi; Malissa Maria Mahmud – Education and Information Technologies, 2025
ChatGPT has emerged as a transformative technology with its remarkable ability to generate human-like responses, propelling its widespread adoption. While prior research has investigated the general landscape of AI-driven tools such as ChatGPT, the current study focuses specifically on exploring learners' experiences and perceptions regarding the…
Descriptors: Student Attitudes, Student Experience, Artificial Intelligence, Natural Language Processing
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Ambroise Baillifard; Maxime Gabella; Pamela Banta Lavenex; Corinna S. Martarelli – Education and Information Technologies, 2025
Effective learning strategies based on principles like personalization, retrieval practice, and spaced repetition are often challenging to implement due to practical constraints. Here we explore the integration of AI tutors to complement learning programs in accordance with learning sciences. A semester-long study was conducted at UniDistance…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Instructional Effectiveness, Learning Strategies
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Yuan Yao; Yiwen Sun; Siyu Zhu; Xinhua Zhu – European Journal of Education, 2025
Recent years have witnessed a growing application of generative artificial intelligence (GenAI) technology in writing instruction. Students should mobilise their metacognitive strategies during this endeavour to maximise the benefits of GenAI while avoiding the potential negative impacts. Within the context of tertiary education in Hong Kong, this…
Descriptors: Metacognition, Learning Strategies, Graduate Students, Technology Uses in Education
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Msafiri Mgambi Msambwa; Zhang Wen; Kangwa Daniel – European Journal of Education, 2025
Artificial intelligence (AI) has extensively developed, impacting different sectors of society, including higher education, and has attracted the attention of various educational stakeholders, leading to a growing number of research on its integration into education. Hence, this systematic literature review examines the impact of integrating AI…
Descriptors: Influence of Technology, Technology Uses in Education, Artificial Intelligence, Cooperative Learning
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Karinna A. Rodriguez; Yvonne K. Ralph; Isabela M. de la Rosa; Oriana P. Pinto Corro; Claudia D. Rey Ochoa; Shannon M. Pruden – Infant and Child Development, 2025
Relying on self-report to understand how children solve cognitive tasks has limitations, particularly with young children. Recent advances in eye-tracking technology allow researchers to leverage this tool to measure young children's strategies for solving cognitive tasks. The current study focuses on young children's mental rotation ability given…
Descriptors: Young Children, Eye Movements, Technology Uses in Education, Problem Solving
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Crystal Neumann – Online Journal of Distance Learning Administration, 2025
In today's dynamic and high-tech learning environment, offering flexible and innovative assignment options is crucial for engaging students across varied learning preferences and backgrounds. Alternative formats, such as gamification and storyboards, can boost engagement, spark creativity, and enhance learning outcomes in college classrooms. By…
Descriptors: Gamification, College Students, Learner Engagement, Student Motivation
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Bin Liu; Yuanyuan Liao – Education and Information Technologies, 2025
The rapid advancement of generative AI technologies is increasingly accompanied by their broader application across various sectors, particularly within creative industries. In this study, IBM Watson BEAT software, based on generative AI technology, was tested as an educational tool in the process of teaching music composition theory to flute…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Educational Technology
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Matthew Moreno; Keerat Grewal; Maria Cutumisu; Jason M. Harley – Educational Psychology Review, 2025
Medical simulations allow medical trainees to work within teams to develop their self-regulated learning (SRL) and socially shared regulated learning (SSRL) skills. These skills are imperative in optimizing performance and teamwork and could be reflected in physiological responses given by learners. This study examines how medical trainees'…
Descriptors: Artificial Intelligence, Technology Uses in Education, Prediction, Algorithms
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Shimelis Kebede Kekeba; Abera Gure; Teklu Tafesse Olkaba – Interactive Technology and Smart Education, 2025
Purpose: The purpose of this study was to investigate the impact of using a jigsaw learning strategy integrated with computer simulation (JLSICS) on the academic achievement and attitudes of students, along with exploring the relationships between them in the process of learning about acids and bases. Design/methodology/approach: The research…
Descriptors: Teaching Methods, Learning Strategies, Computer Simulation, Technology Uses in Education
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Li-Mei Chen; Chunlei Liu – TESOL Journal, 2025
The conventional perspective of learner autonomy aims to cultivate second and foreign language (L2) learners with self-regulated learning strategies they can use to achieve native-like communicative competence. While the perspective can equip L2 learners with certain linguistic coding and decoding skills to take charge of their own learning, it…
Descriptors: Personal Autonomy, Second Language Learning, Second Language Instruction, Writing Instruction
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
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Areej ElSayary, Editor – IGI Global, 2025
By creating specific prompts, educators can harness the power of AI models to generate tailored content, provide instant feedback, and simulate real-world scenarios for deeper learning engagement. Whether it's creating personalized lesson plans, generating creative writing prompts, or assisting with problem-solving exercises, generative AI creates…
Descriptors: Prompting, Engineering, Artificial Intelligence, Technology Uses in Education
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Carol Rentas; Ramapoza O'Dwyer; Rohini Ganjoo; Marcia A. Firmani; Cliff Cymrot; Yousif Barzani; Lisa S. Schwartz – International Journal of Distance Education Technologies, 2025
This study explored the relationships between English language proficiency and performance in online, asynchronous science courses. Each participant completed a Language Background Questionnaire (LBQ) to indicate if English was not their native language, thus categorizing them as an English Language Learner (ELL). The Combined English Language…
Descriptors: English Learners, Electronic Learning, Asynchronous Communication, Computer Assisted Testing
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Yuxiao Xie; Ziyi Xie; Siyu Chen; Lei Shen; Zhizhuang Duan – Education and Information Technologies, 2025
The National College English Test Band 4 (CET-4) is a key test to assess the English language ability of Chinese university students, and the success rate of the test is important to improve the quality of their English learning. Artificial intelligence technology can be used to predict and explore the factors influencing the success rate. This…
Descriptors: Language Tests, English (Second Language), Second Language Learning, Second Language Instruction
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Shalin Hai-Jew, Editor – IGI Global, 2025
Education serves as a powerful tool for advancing individuals and society, but learners enter formal education with vastly different opportunities, backgrounds, and challenges. Addressing these disparities requires a commitment to equitable access, personalized support, and inclusive learning environments that recognize diverse needs. By fostering…
Descriptors: Access to Education, Social Justice, Institutionalized Persons, Correctional Education
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