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Showing 1 to 15 of 108 results Save | Export
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Jiahui Du; Khe Foon Hew; Long Zhang – Education and Information Technologies, 2025
Self-regulated learning (SRL) is a prerequisite for successful learning. However, studies have reported that many students struggle with self-regulation in online learning, indicating the need to provide students with additional support for SRL. This study adopted a design-based research methodology to iteratively design, implement, and evaluate…
Descriptors: Independent Study, Artificial Intelligence, Electronic Learning, Graduate Students
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Fahmi Zaidi Abdul Razak; Mohd Amli Abdullah; Badli Esham Ahmad; Wan Hashridz Rizal Bin Wan Abu Bakar; Nur Aulia Fahada Binti Misaridin – Education and Information Technologies, 2025
The utilization of artificial intelligence (AI) among students is rapidly gaining prominence worldwide. However, Malaysia lags in terms of research and information in this area. This quantitative study aims to identify the factors that contribute to the adoption of AI among postgraduate students. The study focuses on the postgraduate student…
Descriptors: Foreign Countries, Higher Education, Artificial Intelligence, Technology Uses in Education
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Arzu Deveci Topal; Asiye Toker Gökçe; Canan Dilek Eren; Aynur Kolburan Geçer – Journal of Learning and Teaching in Digital Age, 2025
This study aims to adapt to Turkish the "Scale for the assessment of non-experts: AI literacy" developed by Laupichler et al. (2023a). The scale consists of 31 items with three sub-dimensions: technical understanding, critical thinking, and practical applications. The data required for the validity and reliability study of the scale were…
Descriptors: Artificial Intelligence, Technological Literacy, Measures (Individuals), Foreign Countries
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Jung, Yeonji; Wise, Alyssa Friend; Allen, Kenneth L. – Advances in Health Sciences Education, 2022
This study describes a theory-informed application of data science methods to analyze the quality of reflections made in a health professions education program over time. One thousand five hundred reflections written by a cohort of 369 dental students over 4 years of academic study were evaluated for an overall measure of reflection depth (No,…
Descriptors: Dentistry, Graduate Students, Reflection, Artificial Intelligence
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Yuan Yao; Yiwen Sun; Siyu Zhu; Xinhua Zhu – European Journal of Education, 2025
Recent years have witnessed a growing application of generative artificial intelligence (GenAI) technology in writing instruction. Students should mobilise their metacognitive strategies during this endeavour to maximise the benefits of GenAI while avoiding the potential negative impacts. Within the context of tertiary education in Hong Kong, this…
Descriptors: Metacognition, Learning Strategies, Graduate Students, Technology Uses in Education
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Imre Csaszar; Jennifer R. Curry – Research Issues in Contemporary Education, 2024
Students have gravitated toward the convenience of artificial intelligence (AI) to generate text, music, and for entertainment. Faculty are also emerging as AI consumers. Given that faculty workloads have become increasingly difficult to manage, AI holds promise for assisting with teaching and research. In this article, a pedagogical case study is…
Descriptors: Artificial Intelligence, Assignments, Critical Thinking, Ethics
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Luo, Zhenzhen; Zheng, Chaoyu; Gong, Jun; Chen, Shaolong; Luo, Yong; Yi, Yugen – Education and Information Technologies, 2023
Learning interest affects the way of learning and its process, which is an important factor that affects the learning effect. At present, students' learning interest in a teaching environment is mainly based on a traditional questionnaire or case analysis, which is not conducive for teachers to promptly access students' interest in class to…
Descriptors: Student Interests, Artificial Intelligence, Attention, Psychological Patterns
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Tiffany Hunt; Margaret Hudson – PDS Partners: Bridging Research to Practice, 2024
Purpose: This grant-funded research utilized conversational agents (CAs), specifically Alexa Flash Briefings, to deliver supplemental audio content across educational settings, expanding the online learning environment of graduate students, residency teachers and mentors. The study aimed to determine the perceived usability of Flash Briefings and…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Graduate Students, Student Teachers
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Mujgan Firincioglulari – Turkish Online Journal of Educational Technology - TOJET, 2024
Artificial Intelligence (AI) is a highly discussed subject, and its integration into our daily lives has grown significantly. This research evaluated how dental students in North Cyprus perceive and feel about artificial intelligence, with a focus on identifying educational needs to enhance their professional skills. A self-administered…
Descriptors: Foreign Countries, Artificial Intelligence, Dentistry, Graduate Students
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Laurie O. Campbell; Thomas D. Cox – Journal of the Scholarship of Teaching and Learning, 2024
With the rapid societal emergence of generative artificial intelligence chatbots, calls for responsible use of generative AI permeate public voices among faculty, administration, and Centers for Teaching and Learning. The Diffusion of Innovation Theory seeks to explain how technologies like generative AI large language models are being adopted.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Synchronous Communication
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Aniekan Essien; Oyegoke Teslim Bukoye; Xianghan O'Dea; Marios Kremantzis – Studies in Higher Education, 2024
This study investigates the influence of generative artificial intelligence (GAI), specifically AI text generators (ChatGPT), on critical thinking skills in UK postgraduate business school students. Using Bloom's taxonomy as theoretical underpinning, we adopt a mixed-method research employing a sample of 107 participants to investigate both the…
Descriptors: Foreign Countries, Graduate Students, Business Education, Artificial Intelligence
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Taskeen Hasrod; Yannick B. Nuapia; Hlanganani Tutu – Journal of Chemical Education, 2024
In order to improve the accessibility and user friendliness of an accurately pretrained stacking ensemble machine learning regressor used to predict sulfate levels (mg/L) in Acid Mine Drainage (AMD), a Graphical User Interface (GUI) was developed using Python by combining human input with ChatGPT and deployed in the Jupyter Notebook environment.…
Descriptors: Artificial Intelligence, Natural Language Processing, Educational Technology, Computer Software
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Quan Yuan; Lin Lv; Yolanda Cordero – International Journal of Web-Based Learning and Teaching Technologies, 2023
Relying on the nation's first judicial big data research base for people's courts in Southeast University, Southeast University Law School has set up a training direction for graduate students in legal big data and artificial intelligence, and explored the "three-dimensional, small-scale, wide-ranging, and large-scale ecology." The…
Descriptors: Law Schools, Legal Education (Professions), Graduate Students, Data
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William Neil Littell; Brittany L. Peterson – Communication Teacher, 2025
Artificial intelligence (AI) is fundamentally reshaping classroom experiences. In this activity, students in a graduate-level project management class engaged in real-time conversations with AI- powered chatbots as though they were actual people. Students were required to perform a stakeholder analysis on the key stakeholders involved in their…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Executive Function
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Seyyed Kazem Banihashem; Nafiseh Taghizadeh Kerman; Omid Noroozi; Jewoong Moon; Hendrik Drachsler – International Journal of Educational Technology in Higher Education, 2024
Peer feedback is introduced as an effective learning strategy, especially in large-size classes where teachers face high workloads. However, for complex tasks such as writing an argumentative essay, without support peers may not provide high-quality feedback since it requires a high level of cognitive processing, critical thinking skills, and a…
Descriptors: Feedback (Response), Peer Evaluation, Artificial Intelligence, Essays
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