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Showing 1 to 15 of 40 results Save | Export
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Philemon Yalamu; Abdullah Al Mahmud; Caslon Chua – IEEE Transactions on Learning Technologies, 2025
Cultural differences can impact how learning is delivered in higher education. Past studies have overlooked the impacts of specific cultures on learning and technology integration, and therefore, this article explores aspects of culture and resource implications for technology-enabled learning. The study collected data from students, lecturers,…
Descriptors: Cultural Differences, College Students, Student Attitudes, Teacher Attitudes
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Biao Gao; Jun Yan; Ronghui Zhong – IEEE Transactions on Learning Technologies, 2025
Digital teachers represent an innovative fusion of media and artificial intelligence (AI) within online educational environments. However, the specific ways in which the appearance anthropomorphism of digital teachers influences the delivery of different knowledge types remain insufficiently understood. Drawing on Embodied Learning Theory and…
Descriptors: Online Courses, Educational Technology, Computer Simulation, Student Satisfaction
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Teemu H. Laine; Woohyun Lee – IEEE Transactions on Learning Technologies, 2024
The metaverse is a network of interoperable and persistent 3-D virtual worlds where users can coexist and interact through mechanisms, such as gamification, nonfungible tokens, and cryptocurrencies. Although the metaverse is a theoretical construct today, many collaborative virtual reality (CVR) applications have emerged as potential components of…
Descriptors: Computer Simulation, Simulated Environment, College Students, Student Attitudes
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Thi Thuy An Ngo; Thanh Tu Tran; Gia Khuong An; Phuong Thy Nguyen – IEEE Transactions on Learning Technologies, 2024
The growing prevalence of advanced generative artificial intelligence chatbots, such as ChatGPT, in the educational sector has raised considerable interest in understanding their impact on student knowledge and exploring effective and sustainable implementation strategies. This research investigates the influence of knowledge management factors on…
Descriptors: Artificial Intelligence, Educational Environment, Knowledge Management, Student Satisfaction
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Jiaqi Yin; Tiong-Thye Goh; Yi Hu – IEEE Transactions on Learning Technologies, 2024
This study aimed to examine sustainable effects of chatbot-based formative feedback on intrinsic motivation, cognitive load, and learning performance. A longitudinal quasi-experimental design with 173 undergraduate students was conducted. The experiment is a between-subject design. Students either received formative feedback from a chatbot or a…
Descriptors: Artificial Intelligence, Synchronous Communication, Feedback (Response), Longitudinal Studies
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Alvarez-Marin, Alejandro; Velazquez-Iturbide, J. Angel – IEEE Transactions on Learning Technologies, 2021
Augmented reality (AR) for learning is a relevant topic that has recently received considerable attention. However, the current literature lacks a survey of AR-based educational approaches and experiences in the specific field of engineering studies. Five research questions were addressed: RQ1) engineering studies where AR is used; RQ2) types of…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Engineering Education
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Wagner, Meghan; Bothner, Cameron L.; Rau, Emily; Zeng, Pearl Zhu; Waisanen, Edward H.; Czerwinski, Megan A.; Fickes, Bret; Eastin, Ivan; Hardin, Rebecca D. – IEEE Transactions on Learning Technologies, 2021
Sustainability science has been gaining traction within academic research and teaching over the past few decades, and it is now entering a phase of greater maturity as a discipline, with links to sectors beyond the academy including energy, finance, advocacy, development, design, construction, agriculture, and healthcare. Concurrently, the growth…
Descriptors: Sustainability, Sciences, Technology Uses in Education, Active Learning
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Geller, Shay A.; Gal, Kobi; Segal, Avi; Sripathi, Kamali; Kim, Hyunsoo G.; Facciotti, Marc T.; Igo, Michele; Hoernle, Nicholas; Karger, David – IEEE Transactions on Learning Technologies, 2021
This article provides computational and rule-based approaches for detecting confusion that is expressed in students' comments in couse forums. To obtain reliable, ground truth data about which posts exhibit student confusion, we designed a decision tree that facilitates the manual labeling of forum posts by experts. However, manual labeling is…
Descriptors: Identification, Misconceptions, Student Attitudes, Computer Mediated Communication
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Jian Liao; Linrong Zhong; Longting Zhe; Handan Xu; Ming Liu; Tao Xie – IEEE Transactions on Learning Technologies, 2024
ChatGPT has received considerable attention in education, particularly in programming education because of its capabilities in automated code generation and program repairing and scoring. However, few empirical studies have investigated the use of ChatGPT to customize a learning system for scaffolding students' computational thinking. Therefore,…
Descriptors: Scaffolding (Teaching Technique), Thinking Skills, Computation, Artificial Intelligence
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Giacomo Cassano; Nicoletta Di Blas – IEEE Transactions on Learning Technologies, 2024
In recent years, the world of education has become increasingly hybrid (online/on location) and flexible (synchronous/asynchronous), frequently referred to as HyFlex. One of the risks of these mixed environments is the distance between teacher and students that can make interaction, a crucial component of the teaching/learning process, more…
Descriptors: Electronic Learning, Asynchronous Communication, Teacher Student Relationship, Feedback (Response)
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Zablith, Fouad; Azad, Bijan – IEEE Transactions on Learning Technologies, 2021
Research on the use of modeling and mapping tools in curriculum management is thriving, often focusing on the perspectives of the faculty alone. However, scholarly works that also incorporate the students' curriculum concerns are rare. A recurring theme in students' curriculum concerns is the perceived overlap among courses, usually expressed at…
Descriptors: Teacher Attitudes, Student Attitudes, Data Analysis, Visual Aids
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Kim, Jihyung; Kim, Kyeongsun; Kim, Wooksung – IEEE Transactions on Learning Technologies, 2022
This article investigated the impact of immersive virtual reality (VR) content, using 360-degree videos, in undergraduate education. To improve the delivery and reality of 360-degree VR content, we filmed the video in the third person so that the viewers could feel like they were in the environment where the lecture was conducted. To verify the…
Descriptors: Computer Simulation, Video Technology, Undergraduate Study, College Students
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Ye Zhang; Mo Wang; Jinlong He; Niantong Li; Yupeng Zhou; Haoxia Huang; Dunbo Cai; Minghao Yin – IEEE Transactions on Learning Technologies, 2024
Diagnosing aesthetic perception plays a crucial role in deepening our understanding of student creativity, emotional expression, and the pursuit of lifelong learning within art education. This task encompasses the evaluation and analysis of students' sensitivity, preference, and capacity to perceive and appreciate beauty across different sensory…
Descriptors: Aesthetics, Creativity, Emotional Response, Lifelong Learning
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Moreno-Marcos, Pedro Manuel; Alario-Hoyos, Carlos; Munoz-Merino, Pedro J.; Estevez-Ayres, Iria; Kloos, Carlos Delgado – IEEE Transactions on Learning Technologies, 2019
One of the characteristics of massive open online courses (MOOCs) is that the overall number of social interactions tend to be higher than in traditional courses, hindering the analysis of social learning. Learners typically ask or answer questions using the forum. This makes messages a rich source of information, which can be used to infer…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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Chen, Guanliang; Davis, Dan; Krause, Markus; Aivaloglou, Efthimia; Hauff, Claudia; Houben, Geert-Jan – IEEE Transactions on Learning Technologies, 2018
Massive Open Online Courses (MOOCs) aim to "educate the world." More often than not, however, MOOCs fall short of this goal--a majority of learners are already highly educated (with a Bachelor's degree or more) and come from specific parts of the (developed) world. Learners from developing countries without a higher degree are…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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