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Tatiana N. Litvinova; Aktam U. Burkhanov; Barna O. Rakhmankulova; Elena V. Patsyuk – Education in the Asia-Pacific Region: Issues, Concerns and Prospects, 2025
This work dwells on the problem of developing an algorithm aimed at ensuring the digital inclusion of a university that functions in the conditions of globalisation. To solve this problem, the key theoretical provisions are described and the sequence of evolution of a traditional university to the level of a digital inclusive establishment of…
Descriptors: Algorithms, Artificial Intelligence, Technology Integration, Inclusion
Yin Kiong Hoh – American Biology Teacher, 2025
Artificial intelligence (AI) encompasses the science and engineering behind creating intelligent machines capable of tasks that typically rely on human intelligence, such as learning, reasoning, decision-making, and problem-solving. By analyzing vast amounts of data, identifying patterns, and making predictions that were once impossible, AI has…
Descriptors: Artificial Intelligence, Biological Sciences, Computer Software, Algorithms
Mila Zhu – Thresholds in Education, 2025
This study investigates the role of generative artificial intelligence (AI) in music education, focusing on its dual function as a creative tool and a mechanism of algorithmic surveillance. Utilizing AI platforms such as Suno.AI, MusicFX, and Udio, the study examines AI's potential to foster creativity, enable synesthetic learning, and personalize…
Descriptors: Music Education, Artificial Intelligence, Technology Uses in Education, Creativity
Samar S. Aad; Mariann Hardey – Emerald Publishing Limited, 2025
In a landscape where technological advancements are disrupting and reshaping the educational paradigm, "After Generative AI" serves as a comprehensive guide to navigate the complexities and opportunities presented by Generative AI (GAI) and guide readers through strategies that must be implemented for a successful journey with GAI. From…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Change, Educational Strategies
Ana-Inés Renta-Davids; Marta Camarero-Figuerola; Mar Camacho – Review of Education, 2025
The increasing integration of Artificial Intelligence (AI) in educational settings is transforming the role of school leaders, reshaping how decisions are made, and introducing both opportunities and challenges. This paper presents the findings of a scoping review that synthesises the current literature on AI's impact on educational leadership.…
Descriptors: Artificial Intelligence, Instructional Leadership, Technology Integration, Decision Making
Haijing Tu – Journal on Excellence in College Teaching, 2024
This article explores the efficacy of AI used for teaching and learning tools. First, it examines three critical aspects of AI use in teaching and learning: AI complexity, algorithmic transparency, and AI bias. Second, it reviews recent literature that investigates the benefits and challenges of implementing AI within college classrooms. It…
Descriptors: Technology Uses in Education, Artificial Intelligence, College Instruction, Instructional Effectiveness
Nan Wu – International Journal of Web-Based Learning and Teaching Technologies, 2024
Higher education is becoming increasingly competitive and all educational institutions are concentrating on improving quality and changing traditional higher education teaching methods. New-type classroom instruction has embraced a unique advancement opportunity with the arrival of the fifth generation (5G) era. It is critical to develop a…
Descriptors: Instructional Effectiveness, Internet, Computer Literacy, Artificial Intelligence
Emmett O’Leary – Action, Criticism, and Theory for Music Education, 2025
Artificial intelligence (AI) presents a unique technological quandary for music educators. Never before has a new tool been lauded and feared to the degree that AI is presently. As AI is an emerging influence in music teaching and learning, in this paper, I examine the past to inform critical action moving forward. Using prior literature in music…
Descriptors: Music Education, Artificial Intelligence, Technology Uses in Education, Educational Benefits
Delali Kwasi Dake; Godwin Kudjo Bada – Journal of Information Technology Education: Innovations in Practice, 2023
Aim/Purpose: The study focused on learner sentiments and experiences after using the Moodle assessment module and trained a machine learning classifier for future sentiment predictions. Background: Learner assessment is one of the standard methods instructors use to measure students' performance and ascertain successful teaching objectives. In…
Descriptors: Psychological Patterns, Artificial Intelligence, Online Surveys, Technology Integration
Dirk Ifenthaler; Rwitajit Majumdar; Pierre Gorissen; Miriam Judge; Shitanshu Mishra; Juliana Raffaghelli; Atsushi Shimada – Technology, Knowledge and Learning, 2024
One trending theme within research on learning and teaching is an emphasis on artificial intelligence (AI). While AI offers opportunities in the educational arena, blindly replacing human involvement is not the answer. Instead, current research suggests that the key lies in harnessing the strengths of both humans and AI to create a more effective…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Researchers, School Personnel
Huixiao Le; Yuan Shen; Zijian Li; Mengyu Xia; Luzhen Tang; Xinyu Li; Jiyou Jia; Qiong Wang; Dragan Gaševic; Yizhou Fan – British Journal of Educational Technology, 2025
Understanding learners' preferences in educational settings is crucial for optimizing learning outcomes and experience. As artificial intelligence (AI) becomes increasingly integrated into educational contexts, it is crucial to understand learners' preferences between AI and human tutors to support their learning. While AI demonstrates growing…
Descriptors: Student Attitudes, Preferences, Electronic Learning, Artificial Intelligence
Yunus Kökver; Hüseyin Miraç Pektas; Harun Çelik – Education and Information Technologies, 2025
This study aims to determine the misconceptions of teacher candidates about the greenhouse effect concept by using Artificial Intelligence (AI) algorithm instead of human experts. The Knowledge Discovery from Data (KDD) process model was preferred in the study where the Analyse, Design, Develop, Implement, Evaluate (ADDIE) instructional design…
Descriptors: Artificial Intelligence, Misconceptions, Preservice Teachers, Natural Language Processing
Kadir Karakaya; Muhammet Furkan Alpat; Hasan Uçar; Özlem Karakaya; Aras Bozkurt – Technology in Language Teaching & Learning, 2025
The increasing integration of generative Artificial Intelligence (AI) tools, such as ChatGPT, in education has prompted growing interest in their pedagogical potential and the emergent competencies required for their effective use in language instruction. While generative AI is beginning to influence language teaching and learning practices,…
Descriptors: Literature Reviews, Bibliometrics, Algorithms, Language Teachers
Ingrid del Valle García-Carreño – European Educational Researcher, 2025
The rapid development of Generative Artificial Intelligence in education presents new opportunities but also raises concerns about inequality and the integrity of academic practices. This study explores its impact, trends, and risks in education through an extensive review of existing academic literature. The methodology includes a systematic…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Educational Technology
Yufeng Qian – Journal of Educational Computing Research, 2025
The effectiveness of generative AI tools in education depends largely on prompt engineering--the practice of designing inputs and interactions that guide AI systems to produce relevant, high-quality outputs. This systematic literature review examines empirical studies published since the release of ChatGPT in late 2022, identifying two broad…
Descriptors: Artificial Intelligence, Technology Uses in Education, Prompting, Engineering
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