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Showing 1 to 15 of 289 results Save | Export
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Xi Lin – Australian Educational Researcher, 2025
Utilising a mixed-research method, this preliminary study explored the use of ChatGPT for seeking effective assignment feedback among a total of 11 adult learners in a graduate-level asynchronous online course in the Spring 2024 semester. Through analysing these learners' experiences on the activity of using ChatGPT to seek effective assignment…
Descriptors: Adult Students, Student Attitudes, Artificial Intelligence, Assignments
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Aysegul Bakar-Corez; Aslihan Kocaman-Karoglu – Education and Information Technologies, 2024
Academic dishonesty is basically defined as unethical or undeserved behavior by students within an educational setting. Although numerous studies have been published that were conducted with undergraduate students, much less is known about the e-dishonesty of postgraduate students. In this study, besides determining the status of e-dishonesty…
Descriptors: Foreign Countries, Graduate Students, Masters Programs, Doctoral Programs
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Huiling Liu – Decision Sciences Journal of Innovative Education, 2025
This study leverages the digital sticky note feature in Zoom's whiteboard to provide students with opportunities to gain a better understanding of supply chain management through engagement and hands-on experience in a synchronous online class. The activity was implemented within an online graduate course in Operations and Supply Chain Management…
Descriptors: Business Education, Online Courses, Graduate Students, Videoconferencing
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Simin Xu; Yanfang Su; Kanglong Liu – Education and Information Technologies, 2025
Despite the well-established importance of feedback in education, the application of Artificial Intelligence (AI)-generated feedback, particularly from language models like ChatGPT, remains understudied in translation education. This study investigates the engagement of Master's students in translation with ChatGPT-generated feedback during their…
Descriptors: Learner Engagement, Artificial Intelligence, Translation, Revision (Written Composition)
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AbdElRahman ElSaid; Yao Shi; Mohamed Wiem Mkaour; Mahmoud Altalouli; Anas Tawfik – Journal of Information Systems Education, 2025
The growing integration of artificial intelligence (AI) into everyday life necessitates a transformation in machine learning (ML) education and development practices, empowering end users with domain knowledge to independently design, train, test, and deploy specialized ML models. However, the technical complexity of ML, particularly in areas such…
Descriptors: Open Source Technology, Artificial Intelligence, Usability, Computer Interfaces
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Laura Landon; Nicole Grames; Maggie Gannon; Addison Jarus; Annie Trezza – Journal of Occupational Therapy Education, 2025
The integration of artificial intelligence (AI) in higher education has garnered much attention, prompting educators to thoughtfully examine its implementation within their curricula. This study explores the perceptions of occupational therapy (OT) students regarding the future integration of a novel, course-specific Anatomy AI chatbot: an…
Descriptors: Occupational Therapy, Allied Health Occupations Education, Artificial Intelligence, Computer Uses in Education
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Sara Park; Wanying Sui; Aylin Celik-Zencir; Timothy N. Tansey – Rehabilitation Research, Policy, and Education, 2025
Background: The rapid advancement of generative artificial intelligence (GenAI) presents both opportunities and challenges for rehabilitation counselor education, particularly in preparing students for complex clinical practice. Objective: This study examined the use of GenAI to support simulated client role-play training in a graduate-level…
Descriptors: Artificial Intelligence, Rehabilitation Counseling, Counselor Training, Role Playing
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Xin Cui; Zhi-Qiang Ma; Xin-Ya You; Yuchen Chen; Jia-Jia Yao; Yun-Fang Tu – Educational Technology & Society, 2025
Collaborative argumentation allows groups to express, criticize, and integrate arguments to achieve the co-construction of collective knowledge. However, students often face challenges when proposing diversified arguments, gathering evidence, and rebutting others reasonably. Incorporating generative conversational agents (GCAs) into collaborative…
Descriptors: Persuasive Discourse, Rhetoric, Artificial Intelligence, Computer Uses in Education
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Rosette Akimana; Evode Mukama; Jeannette Musengimana; Leonard Nungu – Education and Information Technologies, 2025
The study aimed to explore the role of e-portfolios in supporting active student engagement in chemistry learning within postgraduate education in Rwanda. The researchers adopted the qualitative descriptive approach, in which a random sample of 4 chemistry students at the University of Rwanda, African Centre of Excellence for Innovative Teaching…
Descriptors: Learner Engagement, Graduate Students, Chemistry, Portfolios (Background Materials)
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Nilufeur McKay; Michelle Pedlow; Peter Palamara; Fiona Foxall – International Journal of Work-Integrated Learning, 2025
The objective of this study was to evaluate the impact of an educationally designed digital clinical workbook for Master of Nursing (Nurse Practitioner) students' work-integrated learning experience. Sixteen students completed an anonymous online survey consisting of closed questions and open-ended free text items to capture students' experience…
Descriptors: Nursing Students, Masters Programs, Graduate Students, Clinical Experience
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Laura Hollinshead; Emma Hyde – Research in Learning Technology, 2025
Person-centred care (PCC) has become an integral part of health education with many incorporating this into curricula (McCormack et al., 2022). However, PCC can require whole scale revisions of programmes of study, which can lead to difficulties in time and navigating quality processes (Moore et al., 2023). In the UK, continued workforce shortages…
Descriptors: Allied Health Occupations Education, Computer Uses in Education, Foreign Countries, Undergraduate Students
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Adriana Castro Camelo; Marisol Esperanza Cipagauta Moyano – International Society for Technology, Education, and Science, 2024
The incursion of Information and Communications Technologies (ICT) into learning environments is becoming increasingly important, since they have become allies in the teaching, learning and evaluation process. Its possibilities of contributing to more dynamic, flexible, and innovative learning allow the academy to strengthen both: teachers and…
Descriptors: Foreign Countries, Computer Uses in Education, Educational Research, Graduate Students
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Ismail, Azlan; Mutalib, Sofianita; Haron, Haryani – Education and Information Technologies, 2023
This article discusses the key elements of the Data Science Technology course offered to postgraduate students enrolled in the Master of Data Science program. This course complements the existing curriculum by providing the skills to handle the Big Data platform and tools, in addition to data science activities. We tackle the discussion about this…
Descriptors: Data Science, Graduate Study, Masters Programs, Graduate Students
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Song, Yanjie; Cao, Jiaxin; Wu, Kaiyi; Yu, Philip Leung Ho; Lee, John Chi-Kin – IEEE Transactions on Learning Technologies, 2023
Despite the metaverse having been increasingly designed, developed, and applied to education, critical issues regarding the lack of truly immersive learning environments, custom tools, clear instructional design, and inconvenience of using the platform, and ethics and privacy concerns exist. This study aimed to design and develop a 3-D metaverse…
Descriptors: Computer Simulation, Computer Uses in Education, Cognitive Processes, Assistive Technology
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Panayiotis Panayides; Elena C. Papanastasiou; Katerina Georgiou; Maria Karekla – European Journal of Education, 2024
This study is an investigation of the validity of the Online Test Anxiety Inventory (O?-TAI) for adult students. The scale contained the 20 items of the Test Anxiety Inventory (Spielberger, 1980), together with five computer anxiety items, all rephrased so as to pertain to online test anxiety. The scale was administered to a large sample of Greek…
Descriptors: Test Validity, Computer Assisted Testing, Test Anxiety, Measures (Individuals)
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