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Ishant Singhal; Guru Ratan Satsangee; Lakshya Bhardwaj; Gaurang S. Sharma; Anand Swarup Chandrakar; Hritav Gupta; Gargi Malik; Bobby Tyagi; Ankit Sahai; Rahul Swarup Sharma – IEEE Transactions on Learning Technologies, 2024
3D-printing (3DP) is a rapidly evolving sector and is advancing at an unmatched pace. Integrating digital-based approaches to disseminate knowledge within institutional curricula is crucial for mainstreaming knowledge. This work explores the development of a virtual lab (VL) for additive manufacturing (AM), using an interactive VL simulator. The…
Descriptors: Computer Peripherals, Printing, Laboratories, Computer Simulation
Ronak R. Mohanty; Peter Selly; Lindsey Brenner; Shantanu Vyas; Cassidy R. Nelson; Jason B. Moats; Joseph L. Gabbard; Ranjana K. Mehta – IEEE Transactions on Learning Technologies, 2025
Immersive extended reality (XR) technologies, including augmented reality (AR), virtual reality, and mixed reality, are transforming the landscape of education and training through experiences that promote skill acquisition and enhance memory retention. These technologies have notably improved decision making and situational awareness in public…
Descriptors: Technology Integration, Artificial Intelligence, Safety Education, Instructional Design
Rick Somers; Sam Cunningham; Sarah Dart; Sheona Thomson; Caslon Chua; Edmund Pickering – IEEE Transactions on Learning Technologies, 2024
Academic misconduct stemming from file-sharing websites is an increasingly prevalent challenge in tertiary education, including information technology and engineering disciplines. Current plagiarism detection methods (e.g., text matching) are largely ineffective for combatting misconduct in programming and mathematics-based assessments. For these…
Descriptors: Assignments, Automation, Identification, Technology Uses in Education
Ricardo Martin Fernandez; Felix Garcia-Loro; Gustavo R. Alves; Africa Lopez-Rey; Russ Meier; Manuel Castro – IEEE Transactions on Learning Technologies, 2024
For educational institutions in science, technology, engineering and mathematics (STEM) areas, the provision of practical learning scenarios is, traditionally, a major concern. In the 21st century, the explosion of information and communication technology (ICTs), as well as the universalization of low-cost hardware, has allowed the proliferation…
Descriptors: STEM Education, Vignettes, Teaching Methods, Information Technology
Pelanek, Radek; Effenberger, Tomas – IEEE Transactions on Learning Technologies, 2022
Research in learning technologies is often focused on optimizing some aspects of human learning. However, the usefulness of practical learning environments is heavily influenced by their weakest aspects, and, unfortunately, there are many things that can go wrong in the learning process. In this article, we argue that in many circumstances, it is…
Descriptors: Educational Environment, Educational Technology, Learning Processes, Taxonomy
Ahmad Chaddad; Yuchen Jiang – IEEE Transactions on Learning Technologies, 2025
The concept of the Metaverse, viewed as the ultimate manifestation of the Internet, has gained significant attention due to rapid advances in technologies such as the Internet of Things (IoT) and blockchain. Acting as a bridge between the physical and virtual worlds, the Metaverse has the potential to offer remarkable experiences to its users.…
Descriptors: Internet, Medical Education, Instructional Effectiveness, Artificial Intelligence
Xu, Chengpei; Jia, Wenjing; Wang, Ruomei; He, Xiangjian; Zhao, Baoquan; Zhang, Yuanfang – IEEE Transactions on Learning Technologies, 2023
With the increasing popularity of open educational resources in the past few decades, more and more users watch online videos to gain knowledge. However, most educational videos only provide monotonous navigation tools and lack elaborating annotations. This makes the task of locating interesting contents time consuming. To address this limitation,…
Descriptors: Open Educational Resources, Video Technology, Instructional Films, Navigation (Information Systems)
Christian Gießer; Johannes Schmitt; Emma Löwenstein; Christian Weber; Veit Braun; Rainer Brück – IEEE Transactions on Learning Technologies, 2024
Digital technologies have transformed medical care and education by providing rapid access to knowledge and advanced methods, such as augmented reality and haptic feedback. These technologies are improving the efficiency of healthcare professionals and the quality of medical education. Particularly in Germany, where a shortage of skilled workers…
Descriptors: Computer Simulation, Medical Education, Technology Uses in Education, Feedback (Response)
Sin, Zackary P. T.; Jia, Ye; Wu, Astin C. H.; Zhao, Isaac Dan; Li, Richard Chen; Ng, Peter H. F.; Huang, Xiao; Baciu, George; Cao, Jiannong; Li, Qing – IEEE Transactions on Learning Technologies, 2023
Metaverse, an alternative universe for play, work, and interaction, has become a captivating topic for academia and industry in recent times. This opens the question on what a metaverse for education, or edu-metaverse, should look like. It is believed that this metaverse for learning should be grounded by a pedagogical theory. Particularly, we…
Descriptors: Computer Simulation, Simulated Environment, Constructivism (Learning), Technology Uses in Education
Dominguez, Federico; Ochoa, Xavier; Zambrano, Dick; Camacho, Katherine; Castells, Jaime – IEEE Transactions on Learning Technologies, 2021
Multimodal learning analytics, which is collection, analysis, and report of diverse learning traces to better understand and improve the learning process, has been producing a series of interesting prototypes to analyze learning activities that were previously hard to objectively evaluate. However, none of these prototypes have been taken out of…
Descriptors: Learning Modalities, Learning Analytics, Automation, Oral Language
Xiang Wu; Huanhuan Wang; Yongting Zhang; Baowen Zou; Huaqing Hong – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence has become the focus of the intelligent education field, especially in the generation of personalized learning resources. Current learning resource generation methods recommend customized courses based on learning styles and interests, improving learning efficiency. However, these methods cannot generate…
Descriptors: Artificial Intelligence, Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style
Vekaria, Komal Bhupendra; Calyam, Prasad; Wang, Songjie; Payyavula, Ramya; Rockey, Matthew; Ahmed, Nafis – IEEE Transactions on Learning Technologies, 2021
There is an increasing trend in cloud adoption of enterprise applications in, for example, manufacturing, healthcare, and finance. Such applications are routinely subject to targeted cyberattacks, which result in significant loss of sensitive data (e.g., due to data exfiltration in advanced persistent threats) or valuable utilities (e.g., due to…
Descriptors: Computer Security, Training, Crime Prevention, Information Technology
Wang, Minjuan; Yu, Haiyang; Bell, Zerla; Chu, Xiaoyan – IEEE Transactions on Learning Technologies, 2022
The Metaverse is a network of 3-D virtual worlds supporting social connections among its users and enabling them to participate in activities mimicking real life. It merges physical and virtual reality and provides channels for multisensory interactions and immersions in a variety of environments (Mystakidis, 2022). The Metaverse is considered the…
Descriptors: Technology Uses in Education, Computer Simulation, Educational Environment, Best Practices
Qi Lang; Minjuan Wang; Minghao Yin; Shuang Liang; Wenzhuo Song – IEEE Transactions on Learning Technologies, 2025
Generative artificial intelligence (GAI) has demonstrated remarkable potential in both educational practice and research, particularly in areas, such as personalized learning, adaptive assessment, innovative teaching methods, and cross-cultural communication. However, it faces several significant challenges, including the comprehension of complex…
Descriptors: Educational Change, Artificial Intelligence, Technology Uses in Education, Educational Trends
Siu-Cheung Kong; Yin Yang – IEEE Transactions on Learning Technologies, 2024
The advent of generative artificial intelligence (AI) has ignited an increase in discussions about generative AI tools in education. In this study, a human-centered learning and teaching framework that uses generative AI tools for self-regulated learning development through domain knowledge learning was proposed to catalyze changes in educational…
Descriptors: Artificial Intelligence, Technology Uses in Education, Independent Study, Elementary Secondary Education
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