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Nusaibah Dakamsih; Mo’tasim-Bellah Alshunnag; Azel Alkayid – Educational Process: International Journal, 2025
Background/Purpose: This study investigates the pedagogical potential of AI-generated images to enhance student engagement and critical analysis in world literature curricula. Grounded in Reader-Response Theory, it explores how algorithmic visuals impact student interpretation, addressing a gap in understanding technology's role in fostering…
Descriptors: Undergraduate Students, Russian Literature, English Literature, Literary Genres
Mohsen Mahmoudi-Dehaki; Nasim Nasr-Esfahani – Journal of Advanced Academics, 2025
This study examined the efficacy and acceptability of human-artificial intelligence (AI) hybrid tutoring in improving the writing skills of twice exceptional (2e) bilingual students with motor dysgraphia and attention-deficit hyperactivity disorder (ADHD) by employing an explanatory sequential design. In the quantitative phase, 12 2e bilingual…
Descriptors: Foreign Countries, Twice Exceptional, Bilingual Students, Attention Deficit Hyperactivity Disorder
Dunhong Yao; Jing Lin – Education and Information Technologies, 2025
Programming education consistently faces challenges in bridging theory with practice and fostering students' cognitive competencies. This 12-year longitudinal study (2011-2023) investigates an innovative competency-based teaching model in university C programming education that integrates six educational theories into a coherent framework with…
Descriptors: Competency Based Education, Computer Science Education, Programming, Longitudinal Studies
Tanja Linnavalli; Pinja Jylänki; Julia Kainulainen; Mari Tervaniemi; Minna Törmänen – Scandinavian Journal of Educational Research, 2025
Early mathematical skills contribute to later school performance and socio-economic status. Working memory is related to mathematical skills, but spatial and language skills have independent effects on separate areas of mathematical skills such as solving word problems or arithmetic skills. In this study, 9- to 10-year-old children's (N = 57)…
Descriptors: Foreign Countries, Cognitive Tests, Memory, Intelligence Tests
Sonal Sharma; V. P. Joshith; K. Kavitha; Anusha Anthony – Higher Learning Research Communications, 2025
Objectives: In this study, we investigate the intentions of research scholars to use ChatGPT in their academic research endeavors by employing an extended Unified Theory of Acceptance and Use of Technology model, the UTAUT2, which examines factors such as performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Educational Technology
Lizzy Nichols – ORTESOL Journal, 2025
TESOL professionals have published extensively in the last two years about AI's benefits for teaching and learning English, with critique for the use of AI in TESOL mainly focusing on its implications for classrooms and schools. Using Paris and Alim's framework for culturally sustaining pedagogies (CSP), I argue that the outsized environmental…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, English (Second Language)
Zulgusma Aulia Putri; Z. Zulyusri; Syamsurizal; V. Vauzia; Fitri Arsih – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2025
Education plays an important role in developing students' potential, including character building. However, biology learning so far has focused more on the cognitive aspect, while emotional intelligence (EQ) and spirituality (SQ) have received less attention. The learning media used is also not interesting and has not integrated ESQ values. This…
Descriptors: Electronic Publishing, Emotional Intelligence, Religious Schools, Islam
Sara K. Pardej; Susan D. Mayes – Journal of Autism and Developmental Disorders, 2025
The purpose of the present study is to compare risk and predictors of poor safety awareness and accidental injuries in ASD, ADHD, and neurotypical samples. Neurodivergent groups (ADHD-I n = 309; ADHD-C n = 747; ASD-only n = 328; ASD + ADHD n = 1,108) were 2-17 years old. The neurotypical group (n = 186) was 6-12 years of age. Maternal ratings on…
Descriptors: Incidence, Correlation, Knowledge Level, Accidents
Quang Nhat Nguyen; Dung Thi Hue Doan – JALT CALL Journal, 2025
This study compares the effects of ChatGPT-facilitated and human teacher-facilitated project-based learning (PBL) on learner autonomy and self-efficacy among Vietnamese EFL students in a language training center. Using an explanatory sequential mixed-methods design, fifty participants were randomly assigned to either a ChatGPT-facilitated group or…
Descriptors: Artificial Intelligence, Technology Uses in Education, Second Language Learning, English (Second Language)
Monita Leavitt; Kirsten Stein – Johns Hopkins University Press, 2025
As educators reimagine education in a virtual world, they may struggle to connect with their students and effectively support them. In "Connecting Emotional Intelligence to the Online Classroom," Monita Leavitt and Kirsten Stein explain how fostering teacher and student relationships can create a supportive virtual classroom that engages…
Descriptors: Emotional Intelligence, Online Courses, Technology Uses in Education, Educational Environment
Walter Barbieri; Ngoc Nhu Nguyen – Australasian Journal of Educational Technology, 2025
This study explored the integration of generative artificial intelligence (GenAI) in supporting pre-service teachers (PSTs) during their work-integrated learning placements, focusing on its role in lesson planning, teaching and WIL crisis resolution. Using the unified theory of acceptance and use of technology framework, the study investigated how…
Descriptors: Artificial Intelligence, Technology Uses in Education, Preservice Teachers, Work Experience Programs
Rena Alasgarova; Jeyhun Rzayev – International Journal of Technology in Education and Science, 2025
This study examined the impact of artificial intelligence (AI) integration on teacher agency and teacher-student relationships in secondary schools in Azerbaijan, using the Technology Acceptance Model (TAM) as an analytical framework. As AI-driven tools become more prevalent in classrooms, concerns have emerged regarding their influence on…
Descriptors: Secondary School Teachers, Secondary School Students, Artificial Intelligence, Technology Uses in Education
Caitlin Mills, Editor; Giora Alexandron, Editor; Davide Taibi, Editor; Giosuè Lo Bosco, Editor; Luc Paquette, Editor – International Educational Data Mining Society, 2025
The University of Palermo is proud to host the 18th International Conference on Educational Data Mining (EDM) in Palermo, Italy, from July 20 to July 23, 2025. EDM is the annual flagship conference of the International Educational Data Mining Society. This year's theme is "New Goals, New Measurements, New Incentives to Learn." The theme…
Descriptors: Artificial Intelligence, Data Analysis, Computer Science Education, Technology Uses in Education
Wael Alharbi – Educational Process: International Journal, 2025
Background/purpose: ESL/EFL teachers face unique burnout challenges due to quality assurance (QA) requirements, increasing class sizes, and intensive feedback demands. This research investigates how these factors contribute to teacher burnout in Saudi higher education and explores the potential of AI as a workload solution. Grounded in the Job…
Descriptors: English (Second Language), Language Teachers, Faculty Workload, Artificial Intelligence
Mohamed Khaldi, Editor – IGI Global, 2025
The integration of artificial intelligence into modern classrooms presents new opportunities and ethical concerns. As AI technologies are adopted in education, they offer the potential to personalize learning experiences, enhance teaching methods, and improve administrative efficiency. However, the use of AI also raises important ethical questions…
Descriptors: Ethics, Artificial Intelligence, Technology Integration, Technology Uses in Education

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