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Guanhao Zhao; Zhenya Huang; Yan Zhuang; Haoyang Bi; Yiyan Wang; Fei Wang; Zhiyuan Ma; Yixia Zhao – IEEE Transactions on Learning Technologies, 2024
In recent years, lifelong learning has gained prominence, necessitating a continuous commitment from learners to enhance their skills and knowledge. During the lifelong learning process, it is essential to precisely assess the cognitive states of lifelong learners, as this will provide a learning report and further support subsequent learning…
Descriptors: Cognitive Processes, Acoustics, Evaluation, Test Validity
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Jiu Yong; Jianguo Wei; Yangping Wang; Jianwu Dang; Xiaomei Lei; Wenhuan Lu – IEEE Transactions on Learning Technologies, 2023
Extended reality (XR) is a general term for virtual reality (VR), augmented reality (AR), and mixed reality (MR). By converting abstract digital expressions into intelligent feedback through figures, one can effectively compensate for the poor performance of traditional learning in deep cognitive processing and operational skills training.…
Descriptors: Computer Simulation, Cognitive Processes, Undergraduate Students, Majors (Students)
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Lorenzo Valente; Federico De Lorenzis; Davide Calandra; Fabrizio Lamberti – IEEE Transactions on Learning Technologies, 2025
In recent years, first responders have faced increasing challenges in their operations, highlighting a growing need for specialized and comprehensive training. In particular, the firefighting incident commanders (ICs) are playing a pivotal role, providing directions to field operators and making critical decisions in emergency situations. Over…
Descriptors: Fire Protection, Experiential Learning, Job Training, Computer Simulation
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Serena Lee-Cultura; Kshitij Sharma; Michail N. Giannakos – IEEE Transactions on Learning Technologies, 2024
Teacher dashboards provide insights on students' progress through visualizations and scores derived from data generated during teaching and learning activities (e.g., response times and task correctness) to improve teaching. Despite the potential usefulness of enhancing teacher dashboards, and the respective teaching practices, with rich…
Descriptors: Educational Technology, Learning Analytics, Technology Uses in Education, Student Evaluation
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Fatema Rahimi; Abolghasem Sadeghi-Niaraki; Houbing Song; Huihui Wang; Soo-Mi Choi – IEEE Transactions on Learning Technologies, 2025
This study investigates the cognitive and emotional processes involved in augmented reality (AR)-based learning. The study looks at learning outcomes, emotional responses, meditation, and attention using a comprehensive approach that includes self-assessment, electroencephalogram data gathering, and postexperiment questionnaires. In total, 12…
Descriptors: Simulated Environment, Cognitive Processes, Outcomes of Education, Emotional Response
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Xiangping Cui; Chen Du; Jun Shen; Susan Zhang; Juan Xu – IEEE Transactions on Learning Technologies, 2024
Research shows that gamified learning experiences can effectively improve the outstanding issues of students in online learning, such as lack of continuous motivation and easy burnout, thereby improving the effectiveness of online learning. However, how to enhance the gamified learning experience in online learning, and what impact there is…
Descriptors: Gamification, Learning Experience, Electronic Learning, Instructional Effectiveness
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Kaitlyn Tracy; Ourania Spantidi – IEEE Transactions on Learning Technologies, 2025
Virtual reality (VR) has emerged as a transformative educational tool, enabling immersive learning environments that promote student engagement and understanding of complex concepts. However, despite the growing adoption of VR in education, there remains a significant gap in research exploring how generative artificial intelligence (AI), such as…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Simulation, Educational Technology
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Yuang Wei; Bo Jiang – IEEE Transactions on Learning Technologies, 2024
Understanding student cognitive states is essential for assessing human learning. The deep neural networks (DNN)-inspired cognitive state prediction method improved prediction performance significantly; however, the lack of explainability with DNNs and the unitary scoring approach fail to reveal the factors influencing human learning. Identifying…
Descriptors: Cognitive Mapping, Models, Prediction, Short Term Memory
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Liu, Zhi; Kong, Xi; Chen, Hao; Liu, Sannyuya; Yang, Zongkai – IEEE Transactions on Learning Technologies, 2023
In a massive open online courses (MOOCs) learning environment, it is essential to understand students' social knowledge constructs and critical thinking for instructors to design intervention strategies. The development of social knowledge constructs and critical thinking can be represented by cognitive presence, which is a primary component of…
Descriptors: MOOCs, Cognitive Processes, Students, Models
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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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Xu Chen; Di Wu – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence (AI) is widely recognized as one of the most influential technologies for the future, having sparked a paradigm shift in scientific research. The field of education has also been greatly impacted by this transformative technology, with researchers exploring the applications of generative AI, particularly ChatGPT,…
Descriptors: Automation, Multimedia Materials, Instructional Materials, Artificial Intelligence
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Garcia-Masso, Xavier; Salvador-Fuertes, Alvaro; Sanchez-Santacreu, Miguel; Borrego, Adrian; Llorens, Roberto – IEEE Transactions on Learning Technologies, 2023
This study aimed to determine the effectiveness of customized exergames, with different cognitive loads, on static and dynamic postural control compared with traditional exercises in a group of adolescents. The participants in this study were 30 healthy adolescents, aged 12-14 years, divided into three groups. Each group trained for two weeks (2…
Descriptors: Exercise, Educational Games, Program Effectiveness, Early Adolescents
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Yu Ji; Zehui Zhan; Tingting Li; Xuanxuan Zou; Siyuan Lyu – IEEE Transactions on Learning Technologies, 2025
The advent of generative artificial intelligence (GAI), exemplified by ChatGPT, has introduced both new opportunities and challenges in science, technology, engineering, and mathematics (STEM) and entrepreneurship education. This exploratory quasi-experimental study examined the effects of ChatGPT-assisted collaborative learning (CCL) on students'…
Descriptors: Man Machine Systems, Technology Uses in Education, Artificial Intelligence, Learning Processes
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Stoo Sepp; Sharon Tindall-Ford; Shirley Agostinho; Fred Paas – IEEE Transactions on Learning Technologies, 2024
This article presents a novel digital method of capturing finger-based gestures on touchscreen devices for the purpose of exploring tracing gestures in educational research. Given that tracing has been found to support cognition, learning, and problem solving in educational settings, data related to the performance of these gestures are…
Descriptors: Computer Oriented Programs, Tablet Computers, Data Collection, Problem Solving
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Jingjing Chen; Rao Muhammad Aqib Hassan; Shuai Sun; Yilin Mo; Dan Zhang – IEEE Transactions on Learning Technologies, 2025
The lightboard, an affordable and readily accessible tool, has become a promising approach for enhancing engagement in instructional videos. Despite its potential, previous studies have primarily highlighted the benefits of lightboard videos by evaluating learners' subjective experiences, with limited empirical research examining their impact on…
Descriptors: College Students, Mathematics Skills, Mathematics Achievement, Video Technology
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