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Afza Diyana Abdullah; Xiaoting Qiu; Huan Li; Muhammad Kamarul Kabilan – Reading Research Quarterly, 2025
Academic reading, a cornerstone of postgraduate education, often presents challenges, particularly for non-native English speakers. These include complex texts, extensive vocabulary, and integrating diverse sources. This study investigates the potential of ChatGPT as an academic reading tool for postgraduate students, emphasizing its usability,…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Graduate Students
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Daryl Ann Borel; Janice L. Taylor – School Leadership Review, 2025
As aspiring educational leaders, principal candidates must understand the widespread impact of generative artificial intelligence (Gen AI) in education. This qualitative phenomenological study explored the perceptions of aspiring educational leaders regarding Gen AI in academic research, highlighting the ethical concerns and challenges they…
Descriptors: Technology Uses in Education, Artificial Intelligence, Man Machine Systems, Natural Language Processing
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Andy Nguyen; Faaiz Gul; Belle Dang; Luna Huynh; Tuure Tuunanen – Innovations in Education and Teaching International, 2025
Generative Artificial Intelligence (GenAI) technologies have introduced significant changes to higher education, but the role of Embodied GenAI Agents in Mixed Reality (MR) environments is still relatively unexplored. This study was carried out to develop an embodied GenAI system designed to facilitate active learning, self-regulated learning and…
Descriptors: Active Learning, Higher Education, Self Management, Learning Strategies
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Huanhuan Zhang; Yujie Su; Xiaosu Xu; Vivian Ngan-Lin Lei; Shanshan Hao – International Journal of Technology in Education, 2025
This study investigates the growing interest in ChatGPT's role in education, with a particular focus on its effects on postgraduate students' English-speaking proficiency--an area predominantly explored through theoretical perspectives with limited empirical evidence. The research aims to address this gap by examining the experiences and…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Graduate Students
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Asmaa Thaer Aldulaijan; Shatha Mohammed Almalk – Journal of Information Technology Education: Research, 2025
Aim/Purpose: This study aimed to investigate the impact of generative artificial intelligence (GenAI) tools on postgraduate students' learning experiences. It examined how these students utilize GenAI tools, identified the perceived benefits of their use, and uncovered the challenges students face in their learning experiences with these tools.…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Graduate Students
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Yusuf Oc; Chahna Gonsalves; La Toya Quamina – Journal of Marketing Education, 2025
The integration of generative artificial intelligence (AI) tools is a paradigm shift in enhanced learning methodologies and assessment techniques. This study explores the adoption of generative AI tools in higher education assessments by examining the perceptions of 353 students through a survey and 17 in-depth interviews. Anchored in the Unified…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
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Shivakami Rajan; L. R. Niranjan – International Journal of Educational Management, 2025
Purpose: This research examines the complex relationship between usage of Chat Generative Pre-Trained Transformer (ChatGPT) amongst student and their creativity, learning and assessment using empirical data collected from postgraduate students. In addition, the study explores the student's intrinsic motivation for usage to understand student…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Creativity
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Karen Singer-Freeman; Kristi Verbeke; Betsy Barre – Higher Learning Research Communications, 2025
Objectives: The present study investigated the extent to which AI use and opinions about its use will vary by academic stage and academic task in ways that align with Budwig's (2013) developmental stages. Methods: We surveyed 1,259 students from different academic stages (first-year students, sophomores, juniors, seniors, and graduate students) at…
Descriptors: Undergraduate Students, Graduate Students, Educational Technology, Educational Policy
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Mohammad Islam Biswas; Md. Shamim Talukder; Yasheng Chen – International Journal of Educational Management, 2025
Purpose: The adoption and usage of generative artificial intelligence tools like Chat Generative Pre-Trained Transformer (ChatGPT) in academia is the subject of increasing research interest. This study investigates the factors influencing the intention, usage and recommendation of ChatGPT among university students by employing the…
Descriptors: Intention, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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Zhuo Wang; Zhaoyi Yin; Ying Zheng; Xuehui Li; Li Zhang – Educational Technology & Society, 2025
As AI technologies like GPT models continue to reshape various aspects of society, it is imperative to investigate the perceptions and ethical considerations of graduate students regarding GPT's use in academic settings. This mixed-method exploratory study engaged 21 graduate students through surveys and focus group interviews. The findings…
Descriptors: Graduate Students, Graduate Study, Student Behavior, Ethics
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Andrew Williams – Intersection: A Journal at the Intersection of Assessment and Learning, 2025
Generative AI has the potential to transform higher education assessment. This study examines the opportunities and challenges of integrating AI into coursework assessments, highlighting the need to rethink traditional paradigms. A case study is presented that explores AI as an auxiliary learning tool in postgraduate coursework. Students found AI…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Higher Education