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Shihui Feng – British Journal of Educational Technology, 2025
Collaborative problem solving (CPS) is an important skill enabling students to co-construct knowledge and tackle complex problems through group interactions. While the importance of group interactions in CPS is well recognized, it is unclear how the emergence of generative artificial intelligence (GAI), with advanced cognitive support, may alter…
Descriptors: Group Dynamics, Interaction, Problem Solving, Cooperative Learning
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R. R. J. D. Gayan Jayakody; Faiz M. M. T. Marikar – Acta Didactica Napocensia, 2025
This study investigates the effectiveness of e-learning systems within the Sri Lanka Army (SLA) by exploring the factors that influence learning outcomes. The research employs a mixedmethods approach, combining quantitative data from a structured questionnaire with qualitative insights from interviews with subject matter experts. The sample…
Descriptors: Foreign Countries, Electronic Learning, Military Training, Armed Forces
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Thomas Corbin; Joanna Tai; Gene Flenady – Assessment & Evaluation in Higher Education, 2025
Generative Artificial Intelligence (GenAI) systems demonstrate impressive capabilities in providing various forms of feedback. However, claims to its potential overlook a fundamental aspect of effective feedback between humans: recognition between teacher and student. This paper critically examines the role of GenAI in providing feedback within…
Descriptors: Artificial Intelligence, Feedback (Response), College Students, Teacher Student Relationship
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Pak Tee Ng – Educational Research for Policy and Practice, 2025
This is an era of uncertainty, during which adaptability is a key capability to survival and future success. What has Singapore done to develop an education system that facilitates its young to learn in such an era? Firstly, Singapore enhances the adaptive capacity of its education system by increasing its diversity. In particular, it is…
Descriptors: Foreign Countries, Lifelong Learning, Educational Practices, Ambiguity (Context)
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Hyun-ji Kim; Myoung-sung Kim – English Teaching, 2025
This study aimed to analyze elementary school teachers' needs regarding the functions of AI-based digital English textbooks. Data were collected from a survey of 96 elementary school teachers. First, a paired sample t-test was first used to examine differences between perceived importance and current implementation. Borich's needs assessment model…
Descriptors: Elementary School Teachers, Artificial Intelligence, Electronic Publishing, Textbooks
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Abdelmadjid Benmachiche; Abdelhadi Sahia; Soundes Oumaima Boufaida; Khadija Rais; Makhlouf Derdour; Faiz Maazouzi – Education and Information Technologies, 2025
In the context of massive open online courses (MOOCs), searching and retrieving information can be challenging because there is a huge amount of unstructured content, which creates a problem and makes it difficult for users to quickly find relevant lessons or resources. As a result, learners and teachers face significant barriers to accessing the…
Descriptors: MOOCs, Natural Language Processing, Artificial Intelligence, Search Engines
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Lixuan Sun – Education and Information Technologies, 2025
This study explores the impact of AI tools on learning Business Interpretation by examining the perceptions of master's students majoring in English-Chinese interpretation and their teachers. Through qualitative interviews with 8 students and 2 teachers, the research investigates how AI tools influence educational outcomes, including their…
Descriptors: Translation, English, Chinese, Artificial Intelligence
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Fumiko Yoshida; Gary J. Conti; Toyoaki Yamauchi; Misa Kawanishi – Journal of Education and Learning, 2025
This paper presents the development and validation of the Learning & Educator Nurturing Style (LENS), a new inventory in Japanese designed to identify and assess educational philosophy. Based on the Philosophies Held by Instructors of Lifelong-learners (PHIL) framework, LENS was created through a rigorous back-translation process to ensure…
Descriptors: Foreign Countries, Educational Philosophy, Test Construction, Test Validity
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Ning Wang; Ying Li; Fengyu Cong – Journal of Academic Ethics, 2025
Privacy concerns are among the most critical ethical issues in applying generative artificial intelligence (GAI) tools in education. This study examines university students' privacy concerns regarding GAI, investigating the causes, consequences, and educational implications of these concerns. We employed a qualitative research design featuring…
Descriptors: College Students, Student Attitudes, Privacy, Artificial Intelligence
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Sandra Leaton Gray; Dominic Edsall; Dimitris Parapadakis – Journal of Academic Ethics, 2025
The proliferation of generative artificial intelligence challenges the credibility of assessment in higher education. This article advances a theoretical argument that universities must move beyond detection-based strategies towards ethically grounded, validity-driven assessment practices. Drawing on Ajzen's Theory of Planned Behaviour, Bandura's…
Descriptors: Artificial Intelligence, Technology Uses in Education, Cheating, Plagiarism
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Jamie Herman; Henry Lara-Steidel – Educational Theory, 2025
The launch of the powerful generative AI tool ChatGPT in November 2022 sparked a wave of fear across higher education. The tool could seemingly be used to write essays and do other work without students putting in the effort expected of them. In this paper, Jamie Herman and Henry Lara-Steidel posit a way of addressing the concerns over ChatGPT and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Role of Education, Higher Education
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Kristen A. Behrens; Gili Marbach-Ad; Thomas D. Kocher – Journal of Science Education and Technology, 2025
Since it became available free to the public in November of 2022, ChatGPT and other large-language model AIs have impacted the higher education classroom. Some fear that this is the end of essay-based assignments, as these are easily generated by ChatGPT. Principles of Genetics, an entry level genetics class, has previously incorporated a creative…
Descriptors: Artificial Intelligence, Technology Uses in Education, Creative Writing, Genetics
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David Troy – Community College Enterprise, 2025
This paper argues that generative AI has become ubiquitous in academia, making irrelevant the debates about whether or not to allow it. Instead, the author advocates for transparency and accountability frameworks that acknowledge AI's presence while preserving academic integrity. The paper examines the challenges educators face: unreliable…
Descriptors: Artificial Intelligence, Integrity, Technology Uses in Education, Accountability
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Mytsyk Hanna; Suchikova Yana – International Journal of Language & Communication Disorders, 2025
Background: Integrating large language models (LLMs), such as ChatGPT, into speech-language pathology (SLP) presents promising opportunities and notable challenges. While these tools can support diagnostics, streamline documentation and assist in therapy planning, they also raise concerns related to misinformation, cultural insensitivity,…
Descriptors: Artificial Intelligence, Speech Language Pathology, Natural Language Processing, Technology Integration
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Iksang Yoon; Minjung Kim – Professional Development in Education, 2025
Given the complex nature of teachers' professional development (PD) processes, it is crucial to examine how various factors surrounding teachers are associated with the evaluation of their PD experience. By applying a machine-learning technique, least absolute shrinkage and selection operator (LASSO), we were able to include numerous factors in an…
Descriptors: Teacher Attitudes, Faculty Development, Positive Attitudes, Artificial Intelligence
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