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Ling Zhang; Zijun Yao; Arya Hadizadeh Moghaddam – Journal of Teacher Education, 2025
Educator preparation, personalized learning (PL) implementation, and applications of Generative AI converge as three interrelated systems that, when carefully designed, can help achieve the long-sought goal of providing inclusive education for all learners. However, realizing this potential comes with challenges resulting from theoretical…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Faculty Development
Moses Kumi Asamoah; Jessica Amarteifio – Discover Education, 2025
This systematic review explores the use of Intelligent Tutoring Systems (ITS) in fostering creativity, innovation, and personalized learning experiences among university students in Ghana. The review also examines the challenges associated with the implementation of ITS, along with the ethical considerations involved. Employing an interpretive…
Descriptors: Ethics, Barriers, Intelligent Tutoring Systems, Technology Integration
Chee-Kit Looi; Fenglin Jia – Education and Information Technologies, 2025
Since the advent of chatbots enabled by Generative AI such as ChatGPT, their application in the domain of education has been linked to promises of personalizing learning (PL). Through a study of conversational interactions of graduate students with such chatbots, this paper provides an empirical study of how current ChatGPT technologies can enable…
Descriptors: Individualized Instruction, Artificial Intelligence, Technology Uses in Education, Educational Technology
Yusuf Kiziltas – Journal of Educational Computing Research, 2025
Rapid developments in artificial intelligence can impact numerous individuals, fields, and sectors in diverse ways. ChatGPT, developed by OpenAI, is one of the prominent models of artificial intelligence. The current study aims to examine the effect of ChatGPT on the creative writing skills and writing self-efficacy of fourth-grade primary school…
Descriptors: Foreign Countries, Elementary School Students, Grade 4, Artificial Intelligence
Anas Hajar; Mehmet Karakus – Cambridge Journal of Education, 2025
This mixed-methods study investigates fee-free private tutoring offered by 'Robin Hood teachers' in Kazakhstan -- schoolteachers who provide free tutoring to some students while charging others. Despite growing research on shadow education, little is known about the motivations behind free tutoring and its broader implications. Therefore, this…
Descriptors: Foreign Countries, Elementary School Teachers, Secondary School Teachers, Supplementary Education
Kathryn N. Thompson; Kimberley L. Chandler; Candice Morgan; Daniel Khashabi; Emily A. Delinski; Benjamin Van Durme – Journal of Advanced Academics, 2025
Large language models (LLMs) have the potential to impact learning in the advanced learner virtual classroom through personalized learning and on-demand feedback. This study investigated whether an LLM added to virtual science course activities impacted student learning. Using the GPT4o model from OpenAI, the LLM was developed as a co-tutor to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intelligent Tutoring Systems, Electronic Learning
Danimir Mandic; Gordana Miscevic; Miroslava Ristic – Research in Pedagogy, 2025
The present study explores how experiences gained through non-formal education influence teachers' attitudes toward the use of interactive educational avatars in pedagogical practice. Employing a quantitative design, data were collected from a sample of 34 educators in Serbia across diverse educational levels (preschool, primary, secondary, and…
Descriptors: Nonformal Education, Preschool Teachers, Elementary School Teachers, Secondary School Teachers
Wei-Sheng Wang; Chia-Ju Lin; Hsin-Yu Lee; Yueh-Min Huang; Ting-Ting Wu – Education and Information Technologies, 2025
This study explores the integration of ChatGPT technology into Virtual Reality (VR) learning environments to support self-regulated learning (SRL) strategies and foster higher-order thinking skills (HOTS). Utilizing a randomized controlled trial (RCT) design, 81 undergraduate students were randomly assigned to either an experimental group with…
Descriptors: Undergraduate Students, Independent Study, Thinking Skills, Computer Simulation
Tian Belawati; Dimas Prasetyo – Open Praxis, 2025
This paper presents the findings of a pilot study on the use of generative AI (GAI) in tutorial sessions within a large-scale distance education institution in Indonesia. The primary aim of the experiment was to assess the impact of GAI-based tutoring on student engagement and academic achievement. A secondary objective was to explore how GAI…
Descriptors: Artificial Intelligence, Technology Uses in Education, Distance Education, Foreign Countries
Michael A. Cook; Steven M. Ross; Al Passarella – Center for Research and Reform in Education, 2025
This quasi-experimental study evaluated the impact of the Filo tutoring program on math, ELA, and science achievement among Grades K-8 students in Jefferson County (AL) Schools (JCS). Using a student-level matched comparison design (N=1,089 treatment, 2,163 comparison), the study examined student performance on ACAP and i-Ready assessments.…
Descriptors: Tutoring, Mathematics Achievement, Science Achievement, Language Arts
Carly D. Robinson; Biraj Bisht; Susanna Loeb – Educational Researcher, 2025
Billions of dollars are invested in opt-in educational resources to support struggling students. Yet there is no guarantee these students will use these resources. We report results from a school system's implementation of on-demand tutoring. The take-up was low. At baseline, only 19% of students ever accessed the platform, and low-performing…
Descriptors: Tutoring, Student Participation, Equal Education, Outreach Programs
Muhammad Mooneeb Ali; Ahmed M. Alaa; Wael Alharbi; Issa Al Qurashi – International Journal of Technology in Education, 2025
Machine and prompt-based Artificial Intelligence (AI) learning has made significant evolution profusely. In education, it has revitalized researchers and educators to scout out subsequent advantages for optimizing learning results. Chiefly, Generative AI has exhibited substantial potential as a tool for language augmentation. This study aims to…
Descriptors: Foreign Countries, Grade 10, Artificial Intelligence, Natural Language Processing
Yuqin Yang; Linbaiyu Chen; Wenmeng He; Daner Sun; Sdenka Zobeida Salas-Pilco – International Journal of Artificial Intelligence in Education, 2025
This paper provided a review of 210 studies on AI-enhanced special education from 2013 to 2023. Through bibliometric analysis, this review aimed to explore trends, focus areas, developments, and evolving themes of the field of AI for enhancing special education. Several noteworthy findings emerged from our analysis. The trend analysis of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Special Education, Trend Analysis
Verdun, Victoria R.; Fienup, Daniel M.; Chiasson, Brittany A.; Greer, R. Douglas – Journal of Applied Behavior Analysis, 2022
Peer-mediated instructional strategies (e.g., peer tutoring) have been effective at teaching academic responses in previous research. This study extended the literature by programming for inference-making, or derived relations. Across two experiments, researchers investigated the use of peer tutoring and inference-making to teach…
Descriptors: Peer Teaching, Inferences, Grade 3, Elementary School Students
Watts, Gavin W.; McKenna, John W. – Intervention in School and Clinic, 2022
Students with emotional and behavioral disorders (EBD) are frequently on the receiving end of intervention models (e.g., social skills training) in which targeted skills are modeled and practiced in unnatural arrangements (i.e., teacher-led). Special educators consistently report a need for effective interventions and instructional arrangements…
Descriptors: Cross Age Teaching, Behavior Disorders, Emotional Disturbances, Students with Disabilities

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