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Yun Wen; Mingming Chiu; Xinyu Guo; Zhan Wang – British Journal of Educational Technology, 2025
In this exploratory mixed-methods study, we introduce and test our AI-powered vocabulary learning system--ARCHe, which embeds four AI functions: (1) automatic feedback towards for pronunciation, (2) automatic feedback for towards handwriting, (3) automatic scoring for student-generated sentences and (4) automatic recommendations. Specifically, our…
Descriptors: Artificial Intelligence, Elementary School Students, Elementary School Teachers, Teaching Methods
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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
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Qinggui Qin; Shuhan Zhang – Education and Information Technologies, 2025
Artificial Intelligence (AI) plays a vital role in the growth and progress of education. Therefore, there is a need to scientifically explore the application of Artificial Intelligence in Education (AIED) and systematically analyze the development trends and research hotspots of AIED to provide reference for researchers. In this study, 1356…
Descriptors: Artificial Intelligence, Knowledge Level, Visual Aids, Concept Mapping
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Min-Ying Tsai – SAGE Open, 2025
The study aimed to verify the psychometric properties of the emotional-style scale and explore different clusters of emotional styles. An emotional style scale was completed in three districts of western Taiwan using stratified random sampling. The study confirmed the reliability and convergent validity of each subscale in a sample of 712…
Descriptors: Foreign Countries, Psychometrics, Classification, Psychological Patterns
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Amr M. Mohamed; Tahany S. Shaaban; Sameh H. Bakry; Francisco D. Guillén-Gámez; Artur Strzelecki – Innovative Higher Education, 2025
This study aimed to investigate how AI impacts students' intrinsic motivation and learning experiences in various cultural and academic settings. An analysis of the effects of AI-powered learning tools on intrinsic motivation and learning enhancement was conducted in early 2024. The study recruited 455 students (192 males and 263 females) from…
Descriptors: Foreign Countries, Preservice Teacher Education, Preservice Teachers, Teacher Education Curriculum
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Ernst Bekkering – Information Systems Education Journal, 2025
Undergraduate research can stimulate students' interest, especially in STEM disciplines. This research can be formally offered in different formats such as Undergraduate Research Experiences (UREs). One of these is Course-based Undergraduate Research Experiences (CUREs), which are offered as an integral part of scheduled courses. CUREs have been…
Descriptors: Undergraduate Students, Research Training, Computer Science Education, Student Interests
Simon Pratt-Adams, Editor; Mark Warnes, Editor; Elaine Brown, Editor – Routledge, Taylor & Francis Group, 2025
This interdisciplinary book uses key examples and specific case studies from the 'Trailblazers' of Anglia Ruskin University, UK, to address the successes and challenges experienced during the creation, development, and running of breadth modules. It's been carefully written to support anyone looking to implement this innovative method into their…
Descriptors: Interdisciplinary Approach, Higher Education, Sustainability, Poverty
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Yunus Dogan; Tarik Talan – Journal of Pedagogical Research, 2025
Artificial intelligence (AI) has significant potential in foreign language learning and teaching, and various scientific studies that monitor, investigate, and examine developments in this field have been conducted for many years. In fact, with the increasing importance and popularity of AI, there has been an observed growth in the number of…
Descriptors: Artificial Intelligence, Bibliometrics, Computer Software, Technology Integration
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Long Quoc Nguyen; Ha Van Le; Phuc Thinh Nguyen – Education and Information Technologies, 2025
Research on the use of ChatGPT in education has proliferated in the past years. However, there is limited understanding of how English as a Foreign Language (EFL) learners engage emotionally with and utilize ChatGPT during the pre-writing stage. Furthermore, how learners' affective engagement (emotional responses) with this tool in the planning…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
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Sami Tlais; Ali Alkhatib; Rasha Hamdan; Hassan HajjHussein; Kassem Hallal; Wassim El Malti – TechTrends: Linking Research and Practice to Improve Learning, 2025
This study examines the integration of artificial intelligence (AI) chatbots within higher education, focusing on the early feedback from STEM faculty members in Lebanon, particularly in the context of their widespread use among students. As AI intersects with traditional scientific inquiry, its incorporation into educational frameworks introduces…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, STEM Education
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Conrad Borchers; Alex Houk; Vincent Aleven; Kenneth R. Koedinger – Grantee Submission, 2025
Active learning promises improved educational outcomes yet depends on students' sustained motivation to engage in practice. Goal setting can enhance learner engagement. However, past evidence of the effectiveness of setting goals tends to be limited to non-digital learning settings and does not scale well as it requires active teacher or parent…
Descriptors: Learner Engagement, Educational Benefits, Goal Orientation, Rewards
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Dana Di Pardo Léon-Henri; Julien Henriet; Marie-Laure Betbeder; Françoise Greffier; Floran Carvalho – Teaching English with Technology, 2025
This research delves into the transformative potential of humanoid robotics and artificial intelligence (AI) in the field of Teaching English to Speakers of Other Languages (TESOL), spotlighting their innovative contributions to modern language instruction. With a focus on robot-assisted language learning (RALL) and AI-powered tools, particularly…
Descriptors: Artificial Intelligence, Robotics, Computer Software, Technology Integration
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Yinkun Zhu; Qiwen Liu; Li Zhao – Education and Information Technologies, 2025
Generative artificial intelligence (GAI) has brought new ideas for optimizing students' learning. Despite increasing attention on the effects of GAI on learning outcomes (LO), research results are inconsistent. While GAI's educational benefits are qualitatively described, there is substantial debate about its actual impact on students' LO. The…
Descriptors: Influence of Technology, Technology Uses in Education, Artificial Intelligence, Outcomes of Education
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Shen Ba; Ying Zhan; Lingyun Huang; Guoqing Lu – British Journal of Educational Technology, 2025
This study examines the impact of feedback assisted by generative artificial intelligence (GAI) on the dynamics and outcomes of online inquiry-based discussions (IBDs) in a higher education context. Specifically, it compares two distinct feedback types powered by GAI: idea-oriented and task-oriented. The study involved 105 preservice teachers from…
Descriptors: Artificial Intelligence, Technology Uses in Education, Feedback (Response), Computer Mediated Communication
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Maria Priego-Ojeda; Gemma Filella-Guiu; Núria Pérez-Escoda – Journal of Computer Assisted Learning, 2025
Background: Video games can be innovative, educational and therapeutic tools that have demonstrated positive outcomes in enhancing emotional skills. Many of these programmes have shown benefits in improving children and adolescents' emotional competencies, but there is a lack of research evidence on programmes that aim to intervene within the…
Descriptors: Educational Games, Parent Education, Parent Attitudes, Emotional Experience
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