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Brandon LeBeau; Susan G. Assouline; Megan Foley-Nicpon; Ann Lupkowski-Shoplik; Katherine Schabilion – Gifted Child Quarterly, 2025
Academic acceleration, which enhances challenges for academically gifted students, can be subject-based or whole-grade. Limited research has explored its application in the twice-exceptional population, where students possess notable cognitive strengths and challenges due to psychological diagnoses. Our clinical study investigates the likelihood…
Descriptors: Twice Exceptional, Acceleration (Education), Academically Gifted, Intelligence Quotient
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Viktor Wang, Editor – IGI Global, 2025
Artificial Intelligence (AI) integration in andragogical education offers significant enhancements to the learning experience for adult learners. By utilizing AI-powered platforms, instructors can provide personalized learning paths that adapt to the unique needs, interests, and goals of each individual. These systems can analyze performance data…
Descriptors: Andragogy, Artificial Intelligence, Computer Software, Technology Integration
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Miray Dogan; Arda Celik; Hasan Arslan – European Journal of Education, 2025
This research investigates how artificial intelligence (AI) influences higher education, specifically exploring the perspectives of academicians regarding associated risks and opportunities. The study is aimed at the implementation of AI within university settings and its impact on both educators and students. Given the swift integration of AI,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Access to Internet
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Xia Zhang; Kingsley Obiajulu Umeanowai – Education and Information Technologies, 2025
This comprehensive bibliometric analysis examines the dynamic impact and influence of artificial intelligence (AI) within the domain of English as a Foreign Language (EFL) from 2013 to 2023. By analysing 3,300 documents from the Web of Science database, the study reveals a positive trend in AI integration, with notable growth attributed to various…
Descriptors: Artificial Intelligence, Technology Uses in Education, Second Language Learning, Second Language Instruction
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Chalermsup Karanjakwut; Kamonwan Charunsri – Malaysian Online Journal of Educational Technology, 2025
This study investigated the impact of AI-driven brainstorming tools on process writing instruction and students' writing outcomes in the context of third-year Thai university students. A mixed-methods approach was employed to examine the effectiveness of AI-driven brainstorming tools, foreign English lecturers' preferences and comments towards…
Descriptors: Writing Instruction, Teaching Methods, Writing Processes, Process Approach (Writing)
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Pattra Suansokchuak; Pallop Piriyasurawong – Higher Education Studies, 2025
This article aims to present a new educational model that integrates engineering learning with design thinking via a cloud ecosystem to enhance digital intelligence for undergraduate students. This approach utilizes user-centered problem-solving to foster innovation and collaborative learning. The educational environment can adapt to 21st-century…
Descriptors: Design, Thinking Skills, Engineering Education, Undergraduate Students
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Himel Mondal; Juhu Kiran Krushna Karri; Swaminathan Ramasubramanian; Shaikat Mondal; Ayesha Juhi; Pratima Gupta – Advances in Physiology Education, 2025
Large language models (LLMs)-based chatbots use natural language processing and are a type of generative artificial intelligence (AI) that is capable of comprehending user input and generating output in various formats. They offer potential benefits in medical education. This study explored the student's feedback on the utilization of LLMs in…
Descriptors: Computational Linguistics, Physiology, Teaching Methods, Artificial Intelligence
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Thao-Trang Huynh-Cam; Long-Sheng Chen; Tzu-Chuen Lu – Journal of Applied Research in Higher Education, 2025
Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…
Descriptors: Foreign Countries, Undergraduate Students, At Risk Students, Dropout Characteristics
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Olga Arranz Garcia; María del Carmen Romero García; Vidal Alonso-Secades – Journal of Information Technology Education: Research, 2025
Aim/Purpose: Evaluate teachers' perceptions, strategies, and challenges in integrating artificial intelligence (AI) into K-12 education and identify patterns and trends in the data from the reviewed studies. Background: This systematic review examines a decade of innovation to explore the transformative impact of AI on education (2014-2024).…
Descriptors: Artificial Intelligence, Teacher Attitudes, Barriers, Technology Integration
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Galiya Ldokova; Svetlana Frumina; Suad Abdalkareem Alwaely – Smart Learning Environments, 2025
The aim of the study is to examine the influence of students' psychotypes on their learning using digital educational technologies within the Metaverse. In the course of the longitudinal experimental study, the results of the initial testing of 79 students during their undergraduate studies and the re-testing of 75 of these students during their…
Descriptors: Undergraduate Students, Graduate Students, Psychological Characteristics, Brain
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Taoues Hadour Myers – NECTFL Review, 2025
Learning a world language offers many benefits, including positive impacts on cognitive development, memory skills, and problem-solving abilities. However, enrollments in language programs, including French, are declining in American universities. Due to the high cost of college, students and parents may not see French as a lucrative field of…
Descriptors: Role Playing, Educational Games, Teaching Methods, Second Language Learning
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Kivanç Bozkus – European Journal of Education, 2025
This study aimed to employ machine learning techniques to uncover the pivotal determinants influencing the reading proficiency of fourth-grade students across 65 regions, as participants in the PIRLS 2021 assessment. The primary objective was to discern and assess key factors at the student, family and school levels that predict high and low…
Descriptors: Artificial Intelligence, Reading Skills, Grade 4, Elementary School Students
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Manal A. Almuhanna – Education and Information Technologies, 2025
Artificial Intelligence (AI) is rapidly transforming the education landscape, emerging as a potent catalyst for enhancing student learning experiences. However, this integration has sparked diverse perspectives, with supporters applauding its transformative potential and opponents raising concerns about AI ethics, misuse, and value alignment.…
Descriptors: Teacher Attitudes, Elementary School Teachers, Secondary School Teachers, Elementary Secondary Education
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Morakinyo Akintolu; Akinpelu A. Oyekunle – Journal of Educators Online, 2025
This paper provides a comprehensive overview of the research on the application of artificial intelligence (AI) in primary education to explore its potential to enhance teaching and learning processes. Through a systematic review of the relevant literature, this study identifies key areas in which AI can significantly impact primary education and…
Descriptors: Data Analysis, Learning Analytics, Artificial Intelligence, Computer Software
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Aicha Adoui, Editor – Palgrave Macmillan, 2025
This edited volume provides a comprehensive examination of the intersection between internationalization of higher education and digital transformation, with a focus on insights from Morocco. Through a series of chapters authored by experts in the field, the book covers a wide range of topics, including critical thinking in intercultural…
Descriptors: Global Approach, Higher Education, Technology Uses in Education, Educational Technology
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