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Devkan Kaleci – Journal of Educational Technology and Online Learning, 2025
The integration of artificial intelligence (AI) technologies into Learning Management Systems (LMS) represents a transformative advancement in contemporary education, enhancing personalization, efficiency, and interactivity. This study presents a systematic methodology for integrating AI technologies into the Moodle LMS. Moodle 4.5 was selected as…
Descriptors: Artificial Intelligence, Learning Management Systems, Educational Technology, Technology Integration
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Ronak R. Mohanty; Peter Selly; Lindsey Brenner; Shantanu Vyas; Cassidy R. Nelson; Jason B. Moats; Joseph L. Gabbard; Ranjana K. Mehta – IEEE Transactions on Learning Technologies, 2025
Immersive extended reality (XR) technologies, including augmented reality (AR), virtual reality, and mixed reality, are transforming the landscape of education and training through experiences that promote skill acquisition and enhance memory retention. These technologies have notably improved decision making and situational awareness in public…
Descriptors: Technology Integration, Artificial Intelligence, Safety Education, Instructional Design
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Andres Felipe Zambrano; Shreya Singhal; Maciej Pankiewicz; Ryan Shaun Baker; Chelsea Porter; Xiner Liu – Information and Learning Sciences, 2025
Purpose: This study aims to evaluate the effectiveness of three large language models (LLMs), GPT-4o, Llama 3.3 70B and Llama 3.1 8B, in redacting personally identifying information (PII) from forum data in massive open online courses (MOOCs). Design/methodology/approach: Forum posts from students enrolled in nine MOOCs were redacted by three…
Descriptors: Artificial Intelligence, Identification, Privacy, Information Security
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Dylan Davidson; Samantha L. Pugh – New Directions in the Teaching of Natural Sciences, 2025
Generative Artificial Intelligence (GenAI) is an emerging technology that creates relevant text, images and other content from prompts. Large Language models (LLMs) are the most widely used of these GenAI forms. This technology already has applications in business and education. This paper tests GenAI's ability to apply physics to global problems…
Descriptors: Artificial Intelligence, Physics, Problem Solving, World Problems
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Bin Tan; Nour Armoush; Elisabetta Mazzullo; Okan Bulut; Mark J. Gierl – International Journal of Assessment Tools in Education, 2025
This study reviews existing research on the use of large language models (LLMs) for automatic item generation (AIG). We performed a comprehensive literature search across seven research databases, selected studies based on predefined criteria, and summarized 60 relevant studies that employed LLMs in the AIG process. We identified the most commonly…
Descriptors: Artificial Intelligence, Test Items, Automation, Test Format
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Prad Kadambi; Tristan J. Mahr; Katherine C. Hustad; Visar Berisha – Journal of Speech, Language, and Hearing Research, 2025
Purpose: Phonetic forced alignment has a multitude of applications in automated analysis of speech, particularly in studying nonstandard speech such as children's speech. Manual alignment is tedious but serves as the gold standard for clinical-grade alignment. Current tools do not support direct training on manual alignments. Thus, a trainable…
Descriptors: Phonetics, Speech, Young Children, Phonemes
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Shushanta Pudasaini; Luis Miralles-Pechuán; David Lillis; Marisa Llorens Salvador – Journal of Academic Ethics, 2025
A survey conducted in 2023 surveyed 3,017 high school and college students. It found that almost one-third of them confessed to using ChatGPT for assistance with their homework. The rise of Large Language Models (LLMs) such as ChatGPT and Gemini has led to a surge in academic misconduct. Students can now complete their assignments and exams just…
Descriptors: High School Students, College Students, Artificial Intelligence, Cheating
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Josh Ecker; Greg Eckert; Erin Cummings – Journal of Advanced Academics, 2025
This theoretical work presents a conceptual framework for integrating artificial intelligence (AI) tutoring within gifted education programming. Drawing upon established gifted education frameworks, student-centered learning practices, and recent advances in AI technology, the proposed framework leverages AI capabilities across four key…
Descriptors: Gifted Education, Artificial Intelligence, Tutoring, Technology Integration
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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
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Ebru Polat – Education and Information Technologies, 2025
The study aims to identify the profiles of university students regarding Artificial Intelligence Literacy, Lifelong Learning, and Fear of Innovation using cluster analysis and to examine the relationships among these variables. Cluster analysis and structural equation modeling were conducted with valid responses from 402 university students. The…
Descriptors: Artificial Intelligence, Digital Literacy, Lifelong Learning, Fear
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Brian Clements; Tamirat T. Abegaz; Bryson Payne – Information Systems Education Journal, 2025
The rise of artificial intelligence (AI) has made life and work easier; however, AI has also made it almost impossible to determine whether the information we consume is legitimate, AI-generated, or AI-manipulated. This paper examines how the use of artificial intelligence, specifically GPT-4, Gemini Advanced, and Claude Opus, can aid a user in…
Descriptors: Artificial Intelligence, Perception, Man Machine Systems, Natural Language Processing
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Luis Eduardo Muñoz Guerrero; Yony Fernando Ceballos; Luis David Trejos Rojas – Contemporary Educational Technology, 2025
Recent progress made in conversational AI lays emphasis on the need for development of language models that possess solid logical reasoning skills and further extrapolated capabilities. An examination into this phenomenon investigates how well the Capybara dataset can improve one's ability to reason using language-based systems. Multiple…
Descriptors: Artificial Intelligence, Logical Thinking, Models, Natural Language Processing
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Younes-Aziz Bachiri; Hicham Mouncif; Belaid Bouikhalene – Knowledge Management & E-Learning, 2025
This study explores the use of artificial intelligence to improve active retrieval and retention in Massive Open Online Courses (MOOCs). We developed an AI-driven system that generates learning cards to facilitate active recall and utilize spaced repetition. The system was tested with a group of students and instructors, and the results showed…
Descriptors: Artificial Intelligence, MOOCs, Technology Uses in Education, Repetition
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Jim Knight – Learning Professional, 2025
As artificial intelligence (AI) transforms education, leaders may be tempted to replace coaches with AI to save money while still promoting better teaching and better learning. This article argues that abandoning coaching for AI means abandoning the most effective methodology for improving teaching and learning for a machine that is incapable of…
Descriptors: Artificial Intelligence, Coaching (Performance), Technology Uses in Education, Ethics
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Jiun-Yu Wu; Yuan-Hsuan Lee; Ching Sing Chai; Chin-Chung Tsai – Educational Researcher, 2025
This conceptual article explores shared epistemic agency between humans and generative artificial intelligence (GenAI), emphasizing the need to foster active human epistemic agency through adaptive epistemic stances. We propose a framework incorporating epistemic stances in interactions with GenAI, drawing on Tsai's (2004) work to explore the…
Descriptors: Artificial Intelligence, Personal Autonomy, Epistemology, Interaction
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