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Xiaojiao Chen; Zhebing Hu; Chengliang Wang – Education and Information Technologies, 2024
As an exemplary representative of AIGC products, ChatGPT has ushered in new possibilities for the field of education. Leveraging its robust text generation and comprehension capabilities, it has had a revolutionary impact on pedagogy, learning experiences, personalized education and other aspects. However, to date, there has been no comprehensive…
Descriptors: Literature Reviews, Artificial Intelligence, Futures (of Society), Trend Analysis
Application of Artificial Intelligence APP in Quality Evaluation of Primary School Science Education
Xufeng Huang – Educational Studies, 2024
Two scientific and systematic evaluation index systems are constructed for primary education APP and Science, Technology, Engineering, and Mathematics (STEM) courses. These systems are revised and confirmed through two rounds of Delphi method. The Delphi method determines an educational application (APP) evaluation index system containing four…
Descriptors: Artificial Intelligence, Science Instruction, STEM Education, Curriculum Evaluation
M. Dinesh Babu; Bijay Prasad Kushwaha – International Journal of Learning and Change, 2024
The objective of the study is to investigate the impact of perceived organisational support (POS) on the turnover intention of academicians. Additionally, it explores the potential mediating role of perceived values of artificial intelligence (PVAI) in the relationship between POS and turnover intention among teaching faculty members in private…
Descriptors: Teacher Attitudes, Teacher Persistence, Labor Turnover, College Faculty
Denis Dumas; James C. Kaufman – Educational Psychology Review, 2024
Who should evaluate the originality and task-appropriateness of a given idea has been a perennial debate among psychologists of creativity. Here, we argue that the most relevant evaluator of a given idea depends crucially on the level of expertise of the person who generated it. To build this argument, we draw on two complimentary theoretical…
Descriptors: Decision Making, Creativity, Task Analysis, Psychologists
Agostino Marengo; Alessandro Pagano; Jenny Pange; Kamal Ahmed Soomro – Interactive Technology and Smart Education, 2024
Purpose: This paper aims to consolidate empirical studies between 2013 and 2022 to investigate the impact of artificial intelligence (AI) in higher education. It aims to examine published research characteristics and provide insights into the promises and challenges of AI integration in academia. Design/methodology/approach: A systematic…
Descriptors: Literature Reviews, Artificial Intelligence, Technology Uses in Education, Higher Education
Tapas Sudan; Arjun Hans; Rashi Taggar – Interactive Technology and Smart Education, 2024
Purpose: The intricate dynamics of ChatGPT adoption among Indian students are discussed while exploring the factors outlined by Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). By assessing these factors, this study aims to unravel their impact on the behavioral intention to use ChatGPT. Design/methodology/approach: While evaluating…
Descriptors: Transformative Learning, Technology Uses in Education, Artificial Intelligence, Computer Software
Zixi Li; Chaoran Wang; Curtis J. Bonk – Online Learning, 2024
As generative AI tools are increasingly popular in today's teaching and learning process, challenges and opportunities occur at the same time. Self-directed learning has been regarded as a powerful learning ability that supports learners in informal learning contexts and its importance rises in salience when incorporating AI into learning. This…
Descriptors: Artificial Intelligence, Technology Uses in Education, Independent Study, Electronic Learning
Olga Ovtšarenko – Discover Education, 2024
Machine learning (ML) methods are among the most promising technologies with wide-ranging research opportunities, particularly in the field of education, where they can be used to enhance student learning outcomes. This study explores the potential of machine learning algorithms to build and train models using log data from the "3D…
Descriptors: Artificial Intelligence, Algorithms, Technology Uses in Education, Opportunities
Federica Picasso; Javiera Atenas; Leo Havemann; Anna Serbati – Open Praxis, 2024
The development of critical data and artificial intelligence (AI) literacy has become a key focus in current discussions in Higher Education, thus it is necessary to develop and advance capacity building, reflectiveness and awareness across disciplines to critically address the possibilities and challenges presented by data and AI. In this paper,…
Descriptors: Undergraduate Students, College Faculty, Artificial Intelligence, Data Collection
Elin Ericsson; Johan Lundin; Sylvana Sofkova Hashemi – Journal of Research on Technology in Education, 2024
Speaking with an artificial counterpart in simulated environments has been shown beneficial for foreign language learning. Still, few studies have explored how it is experienced by younger students. We report on a study of Swedish students (N = 22) speaking English with embodied conversational agents (ECAs) in everyday-life scenarios. Data were…
Descriptors: Middle School Students, Teacher Attitudes, Second Language Learning, English (Second Language)
Stephen J. McElroy; Kristi Girdharry – Business and Professional Communication Quarterly, 2024
Drawing upon a framework of "assemblage thinking," this article offers an approach to considering artificial intelligence (AI) and ethics that seeks to think relationally across the positions occupied as educators and students at a business school. To complement discussions of assemblage and examinations of ethics in the AI era, we draw…
Descriptors: Ethics, Artificial Intelligence, Undergraduate Students, Undergraduate Study
Gerti Pishtari; María Jesús Rodríguez-Triana; Luis P. Prieto; Adolfo Ruiz-Calleja; Terje Väljataga – Journal of Computer Assisted Learning, 2024
Background: In the field of Learning Design, it is common that researchers analyse manually design artefacts created by practitioners, using pedagogically-grounded approaches (e.g., Bloom's Taxonomy), both to understand and later to support practitioners' design practices. Automatizing these high-level pedagogically-grounded analyses would enable…
Descriptors: Electronic Learning, Instructional Design, Active Learning, Inquiry
S. Sageengrana; S. Selvakumar; S. Srinivasan – Interactive Learning Environments, 2024
Students are termed "multitaskers," and it is likely that they easily fall prey to other subjects or topics that most interest them. They occasionally took heed or gave close and thoughtful attention to the lectures they were on. In the current educational system, our young generations receive materials from their leftovers, and their…
Descriptors: Electronic Learning, Dropouts, Student Behavior, Student Interests
Rebecca Heaton; Joo Hong Low; Vernon Chen – Pedagogies: An International Journal, 2024
With growing interest in the role and integration of Artificial Intelligence (AI) and AI pedagogies in transformative art education this paper voices the pedagogic reflections of three art educators in Singapore who have engaged AI in their art provision. It discusses and exemplifies the advantages (intelligent), like interdisciplinary…
Descriptors: Foreign Countries, Artificial Intelligence, Art Education, Art Teachers
Wajeeh Daher; Faaiz Gierdien – African Journal of Research in Mathematics, Science and Technology Education, 2024
Texts generated by artificial intelligence agents have been suggested as tools supporting students' learning. The present research analyses the language of texts generated by ChatGPT when solving mathematical problems related to the quadratic equation. We use the functional grammar theoretical framework that includes three meta-functions: the…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Problem Solving

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