NotesFAQContact Us
Collection
Advanced
Search Tips
Source
IEEE Transactions on Learning…46
Audience
Laws, Policies, & Programs
Assessments and Surveys
Motivated Strategies for…1
What Works Clearinghouse Rating
Showing 1 to 15 of 46 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Alejandra J. Magana; Syed Tanzim Mubarrat; Dominic Kao; Bedrich Benes – IEEE Transactions on Learning Technologies, 2024
Fostering productive engagement within teams has been found to improve student learning outcomes. Consequently, characterizing productive and unproductive time during teamwork sessions is a critical preliminary step to increase engagement in teamwork meetings. However, research from the cognitive sciences has mainly focused on characterizing…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teamwork, Learner Engagement
Peer reviewed Peer reviewed
Direct linkDirect link
Gongjin Lan; Qiangqiang Lai; Bing Bai; Zirui Zhao; Qi Hao – IEEE Transactions on Learning Technologies, 2024
Automotive engine assembly and disassembly are common and crucial programs in the automotive industry. Traditional education trains students to learn automotive engine assembly and disassembly in lecture courses and then to operate with physical engines, which are generally low effectiveness and high cost. In this article, we developed a…
Descriptors: Computer Simulation, Auto Mechanics, Training, Manufacturing
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, Xingliang; Mitrovic, Antonija; Mathews, Moffat – IEEE Transactions on Learning Technologies, 2020
Problem solving, worked examples, and erroneous examples have proven to be effective learning activities in Intelligent Tutoring Systems (ITSs). However, it is generally unknown how to select learning activities adaptively in ITSs to maximize learning. In the previous work of A. Shareghi Najar and A. Mitrovic, alternating worked examples with…
Descriptors: Problem Solving, Intelligent Tutoring Systems, Learning Activities, Educational Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Motz, Benjamin A.; Mallon, Matthew G.; Quick, Joshua D. – IEEE Transactions on Learning Technologies, 2021
As institutions of higher education increasingly utilize online learning management systems, college students are asked to submit more assignments online. Under this regime, when most assignments are posted and submitted online, it is possible to know if a student is missing a submission for an imminent deadline, and to intervene proactively to…
Descriptors: Automation, Assignments, Cues, Time Management
Peer reviewed Peer reviewed
Direct linkDirect link
Hawes, Dan; Arya, Ali – IEEE Transactions on Learning Technologies, 2023
Recent research indicates that the majority of postsecondary students in North America "feel overwhelming anxiety," an issue that has also been observed in many other regions and is negatively impacting students' academic performance and overall well-being. This article reports the results of our interdisciplinary analysis of innovative…
Descriptors: Technology Uses in Education, Anxiety, Psychological Patterns, Cognitive Ability
Peer reviewed Peer reviewed
Direct linkDirect link
Maiti, Ananda; Raza, Ali; Kang, Byeong Ho – IEEE Transactions on Learning Technologies, 2021
The Internet-of-Things (IoT) is a collection of technologies to bring the Internet to physically embedded devices and to embed them deeply into human activities to aid in a variety of activities. IoT gained traction with developers and consumers in recent years, driven by low-cost open-source hardware that enables easy prototyping and testing. IoT…
Descriptors: Internet, Active Learning, Student Projects, College Students
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Castellanos, Jorge; Haya, Pablo A.; Urquiza-Fuentes, Jaime – IEEE Transactions on Learning Technologies, 2017
STEM (Science, Technology, Engineering, and Math) education is currently receiving much attention from governments and educational institutions. Our work is based on active learning and video-based learning approaches to support STEM education. Here, we aimed to increase students' engagement through reflective processes that embrace video…
Descriptors: STEM Education, Educational Technology, Technology Uses in Education, Video Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Gitinabard, Niki; Xu, Yiqiao; Heckman, Sarah; Barnes, Tiffany; Lynch, Collin F. – IEEE Transactions on Learning Technologies, 2019
Blended courses that mix in-person instruction with online platforms are increasingly common in secondary education. These platforms record a rich amount of data on students' study habits and social interactions. Prior research has shown that these metrics are correlated with students performance in face-to-face classes. However, predictive models…
Descriptors: Blended Learning, Educational Technology, Technology Uses in Education, Prediction
Previous Page | Next Page ยป
Pages: 1  |  2  |  3  |  4