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Marcus Pietsch; Dana-Kristin Mah – Educational Technology Research and Development, 2025
Rapid developments in artificial intelligence (AI) require dynamic adaptation in education to integrate new technologies timely and sustainably. In particular, the rise of generative AI requires leadership to implement it in a meaningful way for teaching and learning. School leaders have a special role to play in driving digital transformation.…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
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Tim Kühl; Felicia Teske; Martin Merkt; Christina Sondermann – Educational Technology Research and Development, 2025
The empirical evidence concerning the question whether an instructor should be presented on online lecture slides is equivocal and two lines of theoretical reasoning exist. On the one hand, the instructor may distract from the content, thereby hampering learning; on the other hand, the instructor may function as a social cue that triggers a more…
Descriptors: Lecture Method, Visual Aids, Online Courses, Attention Control
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Nese Kutlu Abu; Elif Dal – Journal of Baltic Science Education, 2025
Gifted students often experience different educational needs compared to their peers, especially in subjects like science. The aim of this study was to examine the perceptions of gifted students studying in primary school towards the science course. A phenomenological research method was used. The study group consisted of twenty-four gifted…
Descriptors: Academically Gifted, Gifted Education, Student Needs, Science Education
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Cem Aslan – Journal of Visual Impairment & Blindness, 2025
Introduction: Writing in braille and utilizing writing skills are challenging for students with visual impairments. These students may encounter specific challenges and make errors in their braille writing. This research aims to examine errors in braille writing made by eighth-grade students with visual impairments. Methods: This study employed a…
Descriptors: Braille, Grade 8, Visual Impairments, Error Analysis (Language)
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John-Paul Riordan; Lynn Revell; Bob Bowie; Sabina Hulbert; Mary Woolley; Caroline Thomas – Pedagogies: An International Journal, 2025
Grouping of people and/or things in school can involve challenging pedagogical problems and is a recurrent issue in research literature. Grouping of pupils sometimes aids learning, but detailed video-based analysis of how teachers (and pupils) group or ungroup (termed '(un)grouping') in classrooms is rare. This multimodal classroom interaction…
Descriptors: Grouping (Instructional Purposes), Video Technology, Program Effectiveness, Interaction
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Laura Norwine; Emily Bouck; Sarah Reiley; Holly M. Long; Larissa Jakubow; James Nuse – Rural Special Education Quarterly, 2025
Students with disabilities may find it difficult to learn and gain the life skills needed to live, work, socialize, and attend postsecondary education. In vivo and community-based instruction (CBI) are among the most effective ways to teach life skills, especially with a goal of generalization. Despite the strong relationships that often exist in…
Descriptors: Students with Disabilities, Daily Living Skills, Computer Simulation, Rural Schools
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Paul Rowlandson; Adrian Simpson – Journal for Research in Mathematics Education, 2025
On the basis of a substantial, robust, and well-replicated cognitive science research literature, interleaving has been recommended across a range of professional pedagogical works as an evidence-based strategy for mathematics teachers. This report first notes the conflation of interleaving and spacing effects underpinning those recommendations…
Descriptors: Mathematics Instruction, Learning Processes, Mathematical Concepts, Teaching Methods
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Enes Küçük; Fidaye Cincil; Yasemin Karal – Journal of Theoretical Educational Science, 2025
AI technology, which is becoming more widespread day by day, also affects education and training processes. The use of AI tools in educational environments provides many benefits to teachers and students. However, the use of AI in education also raises some ethical concerns. The aim of this study was to reveal the ethical issues arising from the…
Descriptors: Ethics, Teaching Methods, Learning Analytics, Internet
West Virginia Department of Education, 2025
This guidance centers around the users of artificial intelligence (AI) in various roles throughout West Virginia PK-12 schools. It is designed to assist individuals such as superintendents, district staff, educators, and support staff in the appropriate and effective use of AI, particularly generative AI technologies, within West Virginia schools.…
Descriptors: Technology Uses in Education, Elementary Secondary Education, Artificial Intelligence, Man Machine Systems
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Elizabeth L. Wetzler; Kenneth S. Cassidy; Margaret J. Jones; Chelsea R. Frazier; Nickalous A. Korbut; Chelsea M. Sims; Shari S. Bowen; Michael Wood – Teaching of Psychology, 2025
Background: Generative artificial intelligence (AI) represents a potentially powerful, time-saving tool for grading student essays. However, little is known about how AI-generated essay scores compare to human instructor scores. Objective: The purpose of this study was to compare the essay grading scores produced by AI with those of human…
Descriptors: Essays, Writing Evaluation, Scores, Evaluators
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Brian W. Stone – Teaching of Psychology, 2025
Background: Students in higher education are using generative artificial intelligence (AI) despite mixed messages and contradictory policies. Objective: This study helps answer outstanding questions about many aspects of AI in higher education: familiarity, usage, perceptions of peers, ethical/social views, and AI grading. Method: I surveyed 733…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
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Valarie Algee – Online Learning, 2025
This qualitative study explored the perceptions of 20 online literacy tutors within the United States on the benefits and challenges of implementing synchronous, one-on-one online tutoring for literacy intervention to kindergarten through Grade 6 students and what they feel are elements contributing to success as they engage in this instructional…
Descriptors: Electronic Learning, Literacy, Synchronous Communication, Individualized Instruction
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Venus Chan – Journal of Computer Assisted Learning, 2025
Background: Technology advancement changes not only interpreting practices but also its pedagogy, which has long been criticised for lacking authenticity in/out-of-classroom practices. Objective: This empirical research aims to develop a mobile-assisted language learning application powered by extended reality (XR). Shortened as 'XR MALL', this…
Descriptors: Computer Simulation, Computer Assisted Instruction, Second Language Learning, Translation
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Izhak Berkovich; Tahani Hassan – Education Inquiry, 2025
The knowledge about principals' digital transformational leadership in schools is scarce. This lacuna is problematic because recently many countries switched to remote schooling and online learning models during the COVID-19 pandemic. The new situation changed the principal's role to one of distant digital leadership, working with teachers and…
Descriptors: Principals, Information Technology, Digital Literacy, Teacher Attitudes
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Ayse Merzifonluoglu; Habibe Gunes – European Journal of Education, 2025
Artificial intelligence (AI) is significantly shaping education and currently influencing pre-service teachers' academic and professional journeys. To explore this influence, the present study examines 389 Generation Z pre-service teachers' attitudes towards AI and its impact on educational decision-making at two state universities, using an…
Descriptors: Decision Making, Artificial Intelligence, Teacher Attitudes, Age Groups
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