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Simin Xu; Yanfang Su; Kanglong Liu – Education and Information Technologies, 2025
Despite the well-established importance of feedback in education, the application of Artificial Intelligence (AI)-generated feedback, particularly from language models like ChatGPT, remains understudied in translation education. This study investigates the engagement of Master's students in translation with ChatGPT-generated feedback during their…
Descriptors: Learner Engagement, Artificial Intelligence, Translation, Revision (Written Composition)
Fatma Gizem Karaoglan Yilmaz; Ramazan Yilmaz – Journal of Computing in Higher Education, 2025
Task complexity emerges as one of the factors affecting the computer-supported collaborative learning (CSCL) process, group dynamics, and processes. Upon reviewing the literature, it becomes apparent that there are conflicting results regarding the impact of escalating task complexity on group dynamics and collaboration processes. The lack of…
Descriptors: Cooperative Learning, Computer Uses in Education, Difficulty Level, Group Dynamics
Ying-Lien Lin; Hann-Jang Huang; Wei-Tsong Wang – Journal of Computer Assisted Learning, 2025
Background: Goal orientations (GO) are influential achievement goals in predicting achievement motivation and effectiveness. However, few studies have paid specific attention to investigating the effects of GO on learning achievement in the area of business management education. Objectives: This study developed a business simulation game system…
Descriptors: Goal Orientation, Academic Achievement, Computer Simulation, Animation
Anu Lehikko; Mikko Nykänen; Heli Ruokamo – Educational Technology Research and Development, 2025
The potential of immersive virtual reality (IVR) to deliver engaging occupational safety training has been established by previous research; however, to date, there have not been any pedagogical models to guide its implementation. This study's objective was to conceptualize a pedagogical model for IVR safety training by combining a…
Descriptors: Computer Simulation, Computer Uses in Education, Safety Education, Occupational Safety and Health
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
Nurul Aini; Yazid Basthomi; Nunung Suryati; Iwan Kurniarahman – PASAA: Journal of Language Teaching and Learning in Thailand, 2025
This study was directed toward ascertaining students' perceived usefulness of integrating TED Talks for the cognitive and affective aspects of learning English as a foreign language. Employing a quantitative research design with a survey questionnaire, data were collected using the framework of the Technology Acceptance Model (TAM) which measured…
Descriptors: Foreign Countries, English (Second Language), College Students, Second Language Learning
Ekaterina Tour; Artem Zadorozhnyy – Journal of Adolescent & Adult Literacy, 2025
Recent developments in Generative Artificial Intelligence (GenAI) technologies have had significant implications for English language education worldwide, opening up new opportunities and challenges. Both researchers and practitioners are increasingly exploring the necessary capabilities that English language learners should possess in relation to…
Descriptors: English (Second Language), Second Language Learning, Artificial Intelligence, Computer Uses in Education
Yahya Hiçyilmaz – SAGE Open, 2025
This study aimed to identify the experiences of students on the reflections of arts education supported by generative artificial intelligence in their abstract art practices. As a qualitative research method, the case study design was used in the study. The sample of the study included 12 last-year students in the Art Education Program of a state…
Descriptors: Art Education, Artificial Intelligence, Computer Uses in Education, Student Experience
Ioulia Koniou; Elise Douard; Marc J. Lanovaz – Journal of Autism and Developmental Disorders, 2025
Purpose: The purpose of the study was to develop and test a virtual reality application designed to put the participants "in the shoes" of an autistic person during a routine task. Method: The study involved a randomized controlled trial that included 103 participants recruited from a technical college. Each participant responded to…
Descriptors: Computer Uses in Education, Artificial Intelligence, Computer Simulation, Consciousness Raising
Sara Park; Wanying Sui; Aylin Celik-Zencir; Timothy N. Tansey – Rehabilitation Research, Policy, and Education, 2025
Background: The rapid advancement of generative artificial intelligence (GenAI) presents both opportunities and challenges for rehabilitation counselor education, particularly in preparing students for complex clinical practice. Objective: This study examined the use of GenAI to support simulated client role-play training in a graduate-level…
Descriptors: Artificial Intelligence, Rehabilitation Counseling, Counselor Training, Role Playing
Tammy Jorgensen Smith; Howard Kaplan; Estefania Simon; Larry Tartaglino; Anthony Denham; Jaimie Timmons; Juliana Cortes – Rehabilitation Research, Policy, and Education, 2025
Background: Competitive, integrated employment (CIE) rates for individuals with disabilities have continued to be much lower than their peers without disabilities. Integration of advanced technologies to develop and refine innovative, scalable, and sustainable programs that promote CIE in high-demand, economically self-sustaining fields will lead…
Descriptors: Artificial Intelligence, Computer Simulation, Disabilities, Employment
Inger Bergom; Emily Look – Innovative Higher Education, 2025
Growth in data analytics coupled with transparency movements in higher education has led many colleges and universities to adopt the use of data dashboards that distill large amounts of data into digestible summaries. In this paper, we examine the use of public-facing data dashboards about the profile of a campus community. We refer to these…
Descriptors: Educational Technology, Computer Uses in Education, Research Universities, Professional Associations
Omid Noroozi; Golnoush Haddadian; Xingshi Gao; Christian Schunn; Maryam Alqassab; Seyyed Kazem Banihashem – International Journal of Educational Technology in Higher Education, 2025
Generative Artificial Intelligence (GenAI) has sparked a global debate on its potential as a feedback source for students, yet research in this area remains limited. This study explores students' use of GenAI during peer feedback provision. Fifty-four graduate students enrolled in a master's course in the food science domain at a Dutch university…
Descriptors: Artificial Intelligence, Feedback (Response), Peer Evaluation, Graduate Students
Donggil Song – International Journal of Artificial Intelligence in Education, 2025
Artificial intelligence (AI) applications, including machine learning (ML), have received attention in education, and generative AI-powered chatbots have been adopted in diverse educational settings worldwide. However, the actual use of and perception regarding generative AI chatbots by learners have been under-investigated. To better prepare for…
Descriptors: Trust (Psychology), Undergraduate Students, Artificial Intelligence, Student Attitudes
AbdElRahman ElSaid; Yao Shi; Mohamed Wiem Mkaour; Mahmoud Altalouli; Anas Tawfik – Journal of Information Systems Education, 2025
The growing integration of artificial intelligence (AI) into everyday life necessitates a transformation in machine learning (ML) education and development practices, empowering end users with domain knowledge to independently design, train, test, and deploy specialized ML models. However, the technical complexity of ML, particularly in areas such…
Descriptors: Open Source Technology, Artificial Intelligence, Usability, Computer Interfaces

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