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Tippawan Meepung – Journal of Education and Learning, 2025
This study explores the development and evaluation of a digital learning ecosystem through metaverse experiences aimed at enhancing the competencies of modern digital entrepreneurs. The objectives were as follows: (1) to study the digital learning ecosystem through metaverse experiences, (2) to design and develop a digital learning ecosystem using…
Descriptors: Electronic Learning, Ecology, Artificial Intelligence, Skill Development
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Maria Dimeli; Apostolos Kostas – Journal of Information Technology Education: Research, 2025
Aim/Purpose: The purpose of this systematic review is to identify and analyze the current findings of empirical research on the use of ChatGPT in school and higher education. Background: As AI reshapes education, the adoption of ChatGPT has the potential to revolutionize teaching and learning in school and higher educational settings. Meanwhile,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Barriers
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Md. Rabiul Awal; Md. Enamul Haque – Journal of Applied Research in Higher Education, 2025
Purpose: This paper aims to explore students' intention to use and actual use of the artificial intelligence (AI)-based chatbot such as ChatGPT or Google Bird in the field of higher education in an emerging economic context like Bangladesh. Design/methodology/approach: The present study uses convenience sampling techniques to collect data from the…
Descriptors: Foreign Countries, College Students, Intention, Artificial Intelligence
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Eran Hadas; Arnon Hershkovitz – Journal of Learning Analytics, 2025
Creativity is an imperative skill for today's learners, one that has important contributions to issues of inclusion and equity in education. Therefore, assessing creativity is of major importance in educational contexts. However, scoring creativity based on traditional tools suffers from subjectivity and is heavily time- and labour-consuming. This…
Descriptors: Creativity, Evaluation Methods, Computer Assisted Testing, Artificial Intelligence
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Thomas K. F. Chiu; Zubair Ahmad; Murat Çoban – Education and Information Technologies, 2025
Evaluating teacher AI competence levels and building effective, safe, and healthy learning environment are crucial steps in transitioning to AI-based education. Current established digital competence frameworks may indirectly address AI competence but often overlook the impact of AI on society, ethics, and assessment. Research on teacher AI…
Descriptors: Artificial Intelligence, Elementary School Teachers, Secondary School Teachers, Test Construction
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Ahmed Mohamed Ameen Mohamed Saad – Higher Education, Skills and Work-based Learning, 2025
Purpose: This research investigates the impact of artificial intelligence (AI) on accounting jobs and universities implementing AI-focused accounting programs and courses to meet market requirements. By drawing insights from universities implementing AI-focused programs, this research offers a roadmap for educational institutions seeking to…
Descriptors: Literature Reviews, Meta Analysis, Artificial Intelligence, Accounting
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Josefina Sala-Roca; Aida Urrea-Monclús; Sara Rodríguez-Pérez – Electronic Journal of Research in Educational Psychology, 2025
Introduction: The Situational Judgment Test of Socioemotional Competence Development in Young People (DCSE-J) is a copyleft psychoeducational instrument for evaluating socioemotional competencies in adolescents. Different studies have analysed its psychometric validity, reliability and criterion validity. The present study aims to analyse…
Descriptors: Foreign Countries, Secondary School Students, College Freshmen, Social Emotional Learning
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Myunghwan Hwang; Eunmi Lee; Hee-Kyung Lee – English Teaching, 2025
This research, grounded in the extended technology acceptance model, aimed to explore the relationships among factors influencing Korean EFL learners' acceptance of ChatGPT for English learning in a voluntary usage context. To this end, a questionnaire was distributed to college students who had used ChatGPT for language learning, utilizing a…
Descriptors: English (Second Language), Second Language Learning, Technology Uses in Education, Computer Software
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Rebecca Marrone; Samuel Fowler; Abhinava Bathakur; Shane Dawson; George Siemens; Chanvi Singh – School Leadership & Management, 2025
The integration of AI in education has the potential to significantly transform teaching and learning. However, the successful adoption of AI is heavily reliant on the actions and perspectives of school leaders. As schools increasingly incorporate AI into their classrooms, it is essential to understand how education leaders perceive this…
Descriptors: Artificial Intelligence, Technology Uses in Education, Administrator Attitudes, Transformative Learning
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Osama Koraishi; Çigdem Karatepe – Technology in Language Teaching & Learning, 2025
This study investigates the differences between human-generated and AI-generated summaries in a remote English as a Foreign Language (EFL) lesson setting, addressing the research problem of how each approach captures and interprets lesson content. Utilizing Zoom-AI as the AI summarization tool, the study compares its output with summaries created…
Descriptors: Artificial Intelligence, Conventional Instruction, Differences, English (Second Language)
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Said A. Salloum; Khaled Mohammad Alomari; Aseel M. Alfaisal; Rose A. Aljanada; Azza Basiouni – Smart Learning Environments, 2025
The integration of artificial intelligence in educational environments has the potential to revolutionize teaching and learning by enabling real-time analysis of students' emotions, which are crucial determinants of engagement, motivation, and learning outcomes. However, accurately detecting and responding to these emotions remains a significant…
Descriptors: Artificial Intelligence, Emotional Response, Psychological Patterns, Individualized Instruction
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Mustafa Yildiz; Hasan Kagan Keskin; Saadin Oyucu; Douglas K. Hartman; Murat Temur; Mücahit Aydogmus – Reading & Writing Quarterly, 2025
This study examined whether an artificial intelligence-based automatic speech recognition system can accurately assess students' reading fluency and reading level. Participants were 120 fourth-grade students attending public schools in Türkiye. Students read a grade-level text out loud while their voice was recorded. Two experts and the artificial…
Descriptors: Artificial Intelligence, Reading Fluency, Human Factors Engineering, Grade 4
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Shiyu Xu; Michael J. Reiss; Wilton Lodge – International Journal of Science and Mathematics Education, 2025
This study introduces a Comprehensive Scientific Creativity Assessment (C-SCA) instrument and empirically tests its reliability and validity. While existing instruments to measure scientific creativity generally focus on a single dimension, such as divergent thinking, the C-SCA incorporates scientific knowledge, motivation in scientific creativity…
Descriptors: Secondary School Students, Science Process Skills, Creativity, Creative Thinking
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Jamie Linert; Lizbeth H. Finestack; Leonard Abbeduto – Journal of Speech, Language, and Hearing Research, 2025
Purpose: The current study addresses a gap in the literature regarding syntactic development of adolescent boys with fragile X syndrome (FXS) and Down syndrome (DS). Specifically, we ask whether syntactic skills plateau or continue to change during adolescence for these groups and whether the profile of syntactic change differs between boys with…
Descriptors: Syntax, Adolescents, Males, Genetic Disorders
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Jinhee Kim; Seongryeong Yu; Rita Detrick; Na Li – Education and Information Technologies, 2025
The rapid development of generative artificial intelligence (GenAI), including large language models (LLM), has merged to support students in their academic writing process. Keeping pace with the technical and educational landscape requires careful consideration of the opportunities and challenges that GenAI-assisted systems create within…
Descriptors: Student Attitudes, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
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