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Marilena Z. Leana-Tascilar – Cogent Education, 2024
This study aimed to develop a comprehensive tool to assess underachievement in gifted students, incorporating input from parents, teachers, and students themselves. A total of 285 participants, including 95 gifted students, their parents, and teachers, were involved in the study. The results have revealed a four-factor structure for the Gifted…
Descriptors: Psychometrics, Academic Achievement, Underachievement, Academically Gifted
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Chen-Chen Liu; Hai-Jie Wang; Dan Wang; Yun-Fang Tu; Gwo-Jen Hwang; Youmei Wang – Interactive Learning Environments, 2024
Teachers' instructional design skills influence their teaching practices and student learning performances. However, researchers have found that the traditional one-to-many model of preservice teacher education prevents preservice teachers from receiving timely and individualized feedback, making it difficult to fill in theoretical knowledge gaps…
Descriptors: Preservice Teachers, Instructional Design, Teaching Skills, Knowledge Level
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Yueqiao Jin; Vanessa Echeverria; Lixiang Yan; Linxuan Zhao; Riordan Alfredo; Yi-Shan Tsai; Dragan Gasevic; Roberto Martinez-Maldonado – Journal of Learning Analytics, 2024
Multimodal learning analytics (MMLA) integrates novel sensing technologies and artificial intelligence algorithms, providing opportunities to enhance student reflection during complex, collaborative learning experiences. Although recent advancements in MMLA have shown its capability to generate insights into diverse learning behaviours across…
Descriptors: Learning Analytics, Accountability, Ethics, Artificial Intelligence
Jude Brady; Martina Kuvalja; Alison Rodrigues; Sarah Hughes – Research Matters, 2024
This study explores undergraduate students' use of ChatGPT when writing essays. Three students were tasked with writing two essays each for a coursework component for a Cambridge qualification facilitated by access to ChatGPT. After writing the essays, they participated in semi-structured interviews about their experiences of using the technology.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Undergraduate Students, Writing (Composition)
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Mark Anthony Camilleri – Interactive Technology and Smart Education, 2024
Purpose: Many educators are increasingly acquainting themselves and becoming adept with interactive technologies like augmented reality and virtual reality. Some of them are also looking forward to using Metaverse applications, as they want to benefit from its immersive three-dimensional capabilities. Therefore, the purpose of this study is to…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Cost Effectiveness
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J. A. Rice; Trini Stickle – Across the Disciplines, 2024
Comparing legal, policy, and statute writing--from stone records of ancient Britain civil servants to opinions of the U.S. Supreme Court--this article demonstrates how weaving threads of textual language variation and change can innervate writing in the disciplines and history of the English language courses, particularly courses designated for…
Descriptors: Writing Instruction, Writing Across the Curriculum, Legal Problems, Jargon
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Selçuk Kilinç – Journal of Educational Technology and Online Learning, 2024
The integration of generative artificial intelligence (GenAI) tools into education has been a game-changer for teaching and assessment practices, bringing new opportunities, but also novel challenges which need to be dealt with. This paper presents the Comprehensive AI Assessment Framework (CAIAF), an evolved version of the AI Assessment Scale…
Descriptors: Artificial Intelligence, Evaluation Methods, Ethics, Technology Integration
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Adcharawan Buripakdi; Le Truong An – LEARN Journal: Language Education and Acquisition Research Network, 2024
Amidst the integration of AI tools in education, ChatGPT is considered prevalent for its potential capacities. Although research into this phenomenon has been conducted by worldwide scholars, little has been known about the perceptions of Ph.D. students of non-English speaking countries. Hence, this qualitative study shifted the focus to this…
Descriptors: Doctoral Students, Foreign Countries, Student Attitudes, Artificial Intelligence
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Esther Moraleda; Noelia Pulido; Noelia Santos; Patricia López – Journal of Education and Learning, 2024
The main objective of this study is to assess the Spanish literacy competence of students enrolled in bilingual and trilingual programs by analyzing the developmental process and evolutionary course of reading during the first cycle of Primary Education. This analysis aims to determine whether the reading skills in Spanish of students in…
Descriptors: Elementary School Students, Bilingual Education, Bilingual Students, Reading Skills
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Alec Thomson – Community College Enterprise, 2024
Artificial intelligence tools have presented many challenges and opportunities to transform teaching and learning on college campuses. These changes are significant enough to require colleges to take action to create a framework by which faculty and students can navigate the proper usage of these tools. Rather than working to create entirely new…
Descriptors: Artificial Intelligence, Information Technology, Position Papers, Educational Policy
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Afifah – International Society for Technology, Education, and Science, 2024
The emergence of AI-driven writing tools has assisted students in writing academic papers. Although the positive benefits of these tools have been acknowledged, concerns regarding ethics emerge. This research is a qualitative study aiming to explore university students' perspectives on the use of AI tools for academic writing. This study sought to…
Descriptors: Artificial Intelligence, Ethics, Technology Uses in Education, Reliability
Jovette Brown – ProQuest LLC, 2024
Intergenerational programs bring together two or more generations and engage them in shared activities that inspire, educate, and advance their mutual well-being. Current literature on intergenerational programs involving elementary school children and older individuals describes benefits for both groups. However, most studies concentrate on the…
Descriptors: Intergenerational Programs, Older Adults, Elementary School Teachers, Teacher Attitudes
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Sashi Ranjan; V. P. Joshith; K. Kavitha; Shana Chittakath – Knowledge Management & E-Learning, 2024
Integrating artificial intelligence (AI) with knowledge management (KM) practices presents a promising avenue for advancing sustainable learning in higher education. However, empirical research exploring this synergy remains limited, particularly in developing countries. This study aimed to investigate the impact of AI-enhanced KM practices on…
Descriptors: Artificial Intelligence, Technology Uses in Education, Knowledge Management, Sustainability
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Wahid Yunianto; Selen Galiç; Zsolt Lavicza – International Journal of Education in Mathematics, Science and Technology, 2024
ChatGPT has become a significant topic of interest in the field of education, prompting of the potential applications of such technology. The utilization of ChatGPT may facilitate the fostering of 21st century skills, such as computational thinking (CT) and technology, which could subsequently provide a means of offering students personalized…
Descriptors: Mental Computation, Mathematics Education, Computer Software, Synchronous Communication
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Ümit Ünsal Kaya – Asian Journal of Distance Education, 2024
This article explores the multifaceted implications of integrating advanced generative AI technologies, specifically ChatGPT, into academic writing and research. It delves into the potential benefits and challenges that arise from the speculative advancements of ChatGPT, emphasizing the dual-edged nature of its capabilities. On one hand, ChatGPT…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Ethics
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