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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
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
Kashif Ahmad; Waleed Iqbal; Ammar El-Hassan; Junaid Qadir; Driss Benhaddou; Moussa Ayyash; Ala Al-Fuqaha – IEEE Transactions on Learning Technologies, 2024
As education constitutes an essential development standard for individuals and societies, researchers have been exploring the use of artificial intelligence (AI) in this domain and have embedded the technology within it through a myriad of applications. In order to provide a detailed overview of the efforts, this article pays particular attention…
Descriptors: Artificial Intelligence, Education, Technology, Learning Experience
Nan Xie; Zhengxu Li; Haipeng Lu; Wei Pang; Jiayin Song; Beier Lu – IEEE Transactions on Learning Technologies, 2025
Classroom engagement is a critical factor for evaluating students' learning outcomes and teachers' instructional strategies. Traditional methods for detecting classroom engagement, such as coding and questionnaires, are often limited by delays, subjectivity, and external interference. While some neural network models have been proposed to detect…
Descriptors: Learner Engagement, Artificial Intelligence, Technology Uses in Education, Educational Technology
Seok-Hyun Ga; Changmi Park; Hyun-Jung Cha; Chan-Jong Kim – IEEE Transactions on Learning Technologies, 2024
Data collection is crucial in securing evidence to support students' arguments during scientific inquiries. However, due to the high costs associated with equipping schools with various measurement devices, students are limited in the scope of their scientific inquiry. Arduino can be proposed as a solution to the lack of measurement devices in…
Descriptors: Science Teachers, Barriers, Difficulty Level, Educational Technology
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
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
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
Dennis Beck; Leonel Morgado; Patrick O'Shea – IEEE Transactions on Learning Technologies, 2024
The educational metaverse promises fulfilling ambitions of immersive learning, leveraging technology-based presence alongside narrative and/or challenge-based deep mental absorption. Most reviews of immersive learning research were outcomes-focused, few considered the educational practices and strategies. These are necessary to provide theoretical…
Descriptors: Educational Practices, Educational Strategies, Computer Simulation, Simulated Environment
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
Jamie I. Cross; Christine C. Boag-Hodgson – IEEE Transactions on Learning Technologies, 2025
The incorporation of immersive technologies into student pilot training has been hindered by a lack of empirical evidence to support their efficacy. Existing research on virtual reality flight simulators is limited in scope, predominantly focused on single-users in small, piston-engine aircraft, with little concern for its application to…
Descriptors: Flight Training, Aviation Education, Job Training, Air Transportation
Senthil Kumar Jagatheesaperumal; Kashif Ahmad; Ala Al-Fuqaha; Junaid Qadir – IEEE Transactions on Learning Technologies, 2024
Metaverse has evolved as one of the popular research agenda that let users learn, socialize, and collaborate in a networked 3-D immersive virtual world. Due to the rich multimedia streaming capability and immersive user experience with high-speed communication, the metaverse is an ideal model for education, training, and skill development tasks.…
Descriptors: Computer Simulation, Technology Uses in Education, Internet, Multimedia Materials
Automatic Evaluation of Instructional Videos Based on Video Features and Student Watching Experience
Qiusha Min; Zhongwei Zhou; Ziyi Li; Mei Wu – IEEE Transactions on Learning Technologies, 2024
Instructional videos are often a key component of online learning, and their quality significantly influences online learning outcomes and student satisfaction. However, instructional video evaluation is time-consuming. To solve this problem, this study developed an automatic evaluation method for instructional videos. This method first…
Descriptors: Electronic Learning, Outcomes of Education, Program Evaluation, Student Evaluation
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