Publication Date
In 2025 | 7 |
Since 2024 | 19 |
Since 2021 (last 5 years) | 38 |
Descriptor
Source
IEEE Transactions on Learning… | 38 |
Author
Albo, Laia | 1 |
Aleksandar D. Kovacevic | 1 |
Aleven, Vincent | 1 |
Amarpreet Gill | 1 |
Angelica de Antonio | 1 |
Artola, Veronica | 1 |
Ashish Pandey | 1 |
Baldassarri, Sandra | 1 |
Bao, Haogang | 1 |
Bell, Zerla | 1 |
Bihao Hu | 1 |
More ▼ |
Publication Type
Journal Articles | 38 |
Reports - Research | 28 |
Reports - Descriptive | 4 |
Reports - Evaluative | 4 |
Information Analyses | 3 |
Education Level
Audience
Researchers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Xueqiao Zhang; Chao Zhang; Jianwen Sun; Jun Xiao; Yi Yang; Yawei Luo – IEEE Transactions on Learning Technologies, 2025
Large language models (LLMs) have significantly advanced smart education in the artificial general intelligence era. A promising application lies in the automatic generalization of instructional design for curriculum and learning activities, focusing on two key aspects: 1) customized generation: generating niche-targeted teaching content based on…
Descriptors: Artificial Intelligence, Instructional Design, Technology Uses in Education, Cognitive Ability
Malte Rolf Teichmann – IEEE Transactions on Learning Technologies, 2025
Due to the rise of virtual reality and the--at least now--hypothetical construct of the Metaverse, learning processes are increasingly transferred to immersive virtual learning environments. While the literature provides few design guidelines, most papers miss an application and evaluation description of the design and development processes. As a…
Descriptors: Instructional Design, Computer Simulation, Educational Environment, Learning Processes
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
Artola, Veronica; Sanz, Cecilia; Baldassarri, Sandra – IEEE Transactions on Learning Technologies, 2023
The creation of applications based on tangible interaction (TI) applications, particularly on tabletops, is a developing area that requires the collaboration of professionals with expert knowledge in specific domains. Having an authoring tool that facilitates interdisciplinary intervention in the design and implementation of such applications is a…
Descriptors: Learning Activities, Design, Educational Technology, Teacher Attitudes
Pallavi Singh; Phat K. Huynh; Dang Nguyen; Trung Q. Le; Wilfrido Moreno – IEEE Transactions on Learning Technologies, 2025
In organizational and academic settings, the strategic formation of teams is paramount, necessitating an approach that transcends conventional methodologies. This study introduces a novel application of multicriteria integer programming (MCIP), which simultaneously accommodates multiple criteria, thereby innovatively addressing the complex task of…
Descriptors: Teamwork, Group Dynamics, Research Design, Models
Amarpreet Gill; Derek Irwin; Linjing Sun; Dave Towey; Gege Zhang; Yanhui Zhang – IEEE Transactions on Learning Technologies, 2025
The rapid changes in technology available for teaching and learning have led to a wide variety of potential tools that can be deployed to support a student's education experience. This article examines the learning interfaces for pedagogical virtual reality (VR) environments, including immersive VR (iVR). It also looks at how microlearning (ML)…
Descriptors: Computer Simulation, Learning Activities, Electronic Learning, Learning Modules
Marcela Pessoa; Marcia Lima; Fernanda Pires; Gabriel Haydar; Rafaela Melo; Luiz Rodrigues; David Oliveira; Elaine Oliveira; Leandro Galvao; Bruno Gadelha; Seiji Isotani; Isabela Gasparini; Tayana Conte – IEEE Transactions on Learning Technologies, 2024
Game designers and researchers have sought to create gameful environments that consider user preferences to increase engagement and motivation. In this sense, it is essential to identify the most suitable game elements for users' profiles. Designers and researchers must choose strategies to classify users into predefined profiles and select the…
Descriptors: Educational Environment, Game Based Learning, Classification, Learner Engagement
Nicolas Pope; Juho Kahila; Henriikka Vartiainen; Matti Tedre – IEEE Transactions on Learning Technologies, 2025
The rapid advancement of artificial intelligence and its increasing societal impacts have turned many computing educators' focus toward early education in machine learning (ML). Limited options for educational tools for teaching novice learners about the mechanisms of ML and data-driven systems presents a recognized challenge in K-12 computing…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer Science Education, Grade 4
Tori, Allan Amaral; Tori, Romero; Nunes, Fatima de Lourdes dos Santos – IEEE Transactions on Learning Technologies, 2022
Inclusion of game elements in health education has proved to be effective in helping student training. Commonly termed as "serious games" these gamified systems can be an alternative to empower and motivate students during the learning process. The literature contains serious games for professional training in many health-related areas,…
Descriptors: Health Education, Educational Games, Gamification, Program Evaluation
Yu Lu; Deliang Wang; Penghe Chen; Zhi Zhang – IEEE Transactions on Learning Technologies, 2024
Amid the rapid evolution of artificial intelligence (AI), the intricate model structures and opaque decision-making processes of AI-based systems have raised the trustworthy issues in education. We, therefore, first propose a novel three-layer knowledge tracing model designed to address trustworthiness for an intelligent tutoring system. Each…
Descriptors: Models, Intelligent Tutoring Systems, Artificial Intelligence, Technology Uses in Education
Esteban Villalobos; Mar Perez-Sanagustin; Roger Azevedo; Cedric Sanza; Julien Broisin – IEEE Transactions on Learning Technologies, 2024
Blended learning (BL) has become increasingly popular in higher education institutions. Despite its popularity and the advances in methodologies for the detection of learning tactics and strategies from trace data, little is known about how they apply to BL settings and, therefore, how students use them to plan, organize, monitor, and regulate…
Descriptors: Metacognition, Learning Strategies, Blended Learning, Instructional Design
Galaige, Joy; Steele, Geraldine Torrisi; Binnewies, Sebastian; Wang, Kewen – IEEE Transactions on Learning Technologies, 2022
Student-facing learning analytics (SFLA) hold promise for supporting the development of self-regulated learning (SRL) skills students need for academic success, especially in online learning. However, the promise of SFLA for supporting SRL is unrealized because current SFLA design methods are technocentric, with little attention to learning…
Descriptors: Learning Analytics, Learning Strategies, Design, Student Needs
Chen, Xu; Zhong, Zheng; Wu, Di – IEEE Transactions on Learning Technologies, 2023
As a third-generation Internet form, the Metaverse has received widespread attention for its spatio-temporal expansion, high immersion, sensory extension, and human--computer integration. Considering the prospect of application in the field of education, a series of studies on the design of Education Metaverse frameworks and applications have…
Descriptors: Computer Simulation, Simulated Environment, Design, Technology Uses in Education
Bihao Hu; Longwei Zheng; Jiayi Zhu; Lishan Ding; Yilei Wang; Xiaoqing Gu – IEEE Transactions on Learning Technologies, 2024
This study explores and analyzes the specific performance of large language models (LLMs) in instructional design, aiming to unveil their potential strengths and possible weaknesses. Recently, the influence of LLMs has gradually increased in multiple fields, yet exploratory research on their application in education remains relatively scarce. In…
Descriptors: Artificial Intelligence, Natural Language Processing, Instructional Design, Prompting
Mandviwalla, Munir; Schuff, David; Miller, Laurel; Chacko, Manoj – IEEE Transactions on Learning Technologies, 2023
In this article, we develop and evaluate a novel system and computing platform to structure, measure, and improve student development using points. We define student development broadly as the achievement of learning to do, know, live together, and be. The system leverages individual agency, social influences, content generation and sharing,…
Descriptors: Student Development, Academic Achievement, Systems Approach, Design