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Mo Wang; Minjuan Wang; Xin Xu; Lanqing Yang; Dunbo Cai; Minghao Yin – IEEE Transactions on Learning Technologies, 2024
This research project investigates the impact of prompt engineering, a key aspect of chat generative pretrained transformer (ChatGPT), on college students' information retrieval in flipped classrooms. In recent years, an increasing number of students have been using AI-based tools, such as ChatGPT rather than traditional research engines to learn…
Descriptors: Artificial Intelligence, Information Technology, Information Retrieval, Flipped Classroom
Yuanbin Diao; Yu-Sheng Su – IEEE Transactions on Learning Technologies, 2025
With technological advancements, the Metaverse is being used to enhance learning effects and learning experience to ensure quality education. However, current empirical studies have produced varying results. Therefore, a meta-analysis was executed, leveraging the capabilities of Version 3 of the Comprehensive Meta-Analysis software to effectively…
Descriptors: Literature Reviews, Meta Analysis, Access to Education, Educational Technology
Mario Vallarino; Saverio Iacono; Edoardo Bellanti; Gianni V. Vercelli – IEEE Transactions on Learning Technologies, 2024
This article introduces a novel approach to remote laboratory instruction, specifically designed for teaching three-dimensional modeling using Blender software. The lab uses virtual machines to provide students with the necessary computational power to carry out the course activities, along with the correct version of the software. The flipped…
Descriptors: Flipped Classroom, Distance Education, Laboratories, Peer Evaluation
Zhang, Kang; Shao, Zhijing; Lu, Yun; Yu, Ying; Sun, Wei; Wang, Zeyu – IEEE Transactions on Learning Technologies, 2023
As metaverse becomes one of the most popular buzzwords in technology, there is still a lack of support to integrate true metaverse learning experiences in massive open online courses (MOOCs). This article introduces a new framework of massive open metaverse courses (MOMCs) and its major enabling technologies, which add immersive and 3-D learning…
Descriptors: MOOCs, Learning Experience, Guidelines, Educational Technology
De Santo, Alessio; Farah, Juan Carlos; Martinez, Marc Lafuente; Moro, Arielle; Bergram, Kristoffer; Purohit, Aditya Kumar; Felber, Pascal; Gillet, Denis; Holzer, Adrian – IEEE Transactions on Learning Technologies, 2022
Computational thinking (CT) skills are becoming increasingly relevant for future professionals across all domains, beyond computer science (CS). As such, an increasing number of bachelor's and master's programs outside of the CS discipline integrate CT courses within their study program. At the same time, tools such as notebooks and interactive…
Descriptors: Computation, Thinking Skills, Computer Science, Higher Education
Belle Li; Curtis J. Bonk; Chaoran Wang; Xiaojing Kou – IEEE Transactions on Learning Technologies, 2024
This exploratory analysis investigates the integration of ChatGPT in self-directed learning (SDL). Specifically, this study examines YouTube content creators' language-learning experiences and the role of ChatGPT in their SDL, building upon Song and Hill's conceptual model of SDL in online contexts. Thematic analysis of interviews with 19…
Descriptors: Independent Study, Language Acquisition, Artificial Intelligence, Computer Mediated Communication
Capturing Movement: A Tablet App, "Geometry Touch," for Recording Onscreen Finger-Based Gesture Data
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
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
Eva Cerezo; Teresa Coma-Rosello; Antonio Aguelo; Ana Cristina Blasco-Serrano; Maria Angeles Garrido – IEEE Transactions on Learning Technologies, 2024
Intergenerational games to be played by grandparents and their grandchildren can be mutually beneficial for both age groups: breaking with age stereotypes, linking the learning and leisure needs of both generations and encouraging communication, solidarity, and social connectedness between generations. Due to the COVID-19 pandemic, it was…
Descriptors: Intergenerational Programs, Interaction, Information Technology, Story Telling
Hu, Jie; Peng, Yi; Chen, Xiao – IEEE Transactions on Learning Technologies, 2023
The prevalence of information and communication technologies (ICTs) has brought about profound changes in the field of reading, resulting in a large and rapidly growing number of young digital readers. The article intends to identify key contextual factors that synergistically differentiate high and low performers, high and average performers, and…
Descriptors: Decoding (Reading), Educational Technology, Information Technology, Reading Skills
Motejlek, Jiri; Alpay, Esat – IEEE Transactions on Learning Technologies, 2021
This article presents and analyzes existing taxonomies of virtual and augmented reality and demonstrates knowledge gaps and mixed terminology, which may cause confusion among educators, researchers, and developers. Several such occasions of confusion are presented. A methodology is then presented to construct a taxonomy of virtual reality and…
Descriptors: Taxonomy, Teaching Methods, Artificial Intelligence, Educational Objectives
Ali, Almaas A.; Dafoulas, Georgios A.; Augusto, Juan Carlos – IEEE Transactions on Learning Technologies, 2019
In this paper, we report findings from a systematic mapping study, conducted to review the existing literature on collaborative educational environments incorporating mixed reality technologies. There is increasing interest in mixed reality technologies in education, especially with the introduction of new over head mounted displays (OHMDs), such…
Descriptors: Educational Environment, Cooperative Learning, Information Technology, Computer Simulation
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
Munoz-Cristobal, Juan A.; Asensio-Perez, Juan I.; Martinez-Mones, Alejandra; Prieto, Luis P.; Jorrin-Abellan, Ivan M.; Dimitriadis, Yannis – IEEE Transactions on Learning Technologies, 2018
Technology offers rich opportunities for learning across different physical and virtual spaces. However, most of current across-spaces proposals are either highly teacher-centered, inflexible in the students' self-management of learning artifacts during the enactment, or allow the teacher little/no control of such students' management of…
Descriptors: Computer Uses in Education, Technology Integration, Pilot Projects, Electronic Learning
Martin, Sergio; Lopez-Martin, Esther; Moreno-Pulido, Alexis; Meier, Russ; Castro, Manuel – IEEE Transactions on Learning Technologies, 2021
This article analyzes a survey delivered in 2019 to 259 experts in engineering education that asked them to forecast information and communication technologies, which were most likely to impact the practice of engineering education based on the expert's discipline (electrical, electronics, mechanical, telecommunications engineering, computer…
Descriptors: Futures (of Society), Engineering Education, Specialists, Information Technology
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