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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
Catherine Akoth Ongoro; Yong-Yi Fanjiang – IEEE Transactions on Learning Technologies, 2024
This article aims to provide a systematic review of existing research on the use of digital game-based learning (DGBL) technology for foreign language (English) in preschool and elementary schools. Digital game-based technology enables learning to become more interactive and inspirational, thereby enhancing language acquisition. The authors…
Descriptors: Game Based Learning, Elementary School Students, Preschool Education, Creativity
Qiyun Wang; Qian Huang – IEEE Transactions on Learning Technologies, 2024
Blended synchronous learning enables online learners to participate in class activities from geographically separated sites. Due to various challenges, however, online learners are often harder to be engaged and their engagement levels are lower than that of classroom counterparts. This review summarized and synthesized the challenges that led to…
Descriptors: Journal Articles, Blended Learning, Synchronous Communication, Barriers
Praharaj, Sambit; Scheffel, Maren; Drachsler, Hendrik; Specht, Marcus – IEEE Transactions on Learning Technologies, 2021
Collaboration is one of the important 21st-century skills. It can take place in remote or co-located settings. Co-located collaboration (CC) is a very complex process that involves subtle human interactions that can be described with indicators like eye gaze, speaking time, pitch, and social skills from different modalities. With the advent of…
Descriptors: Learning Analytics, 21st Century Skills, Learning Modalities, Task Analysis
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
Ruiz-Calleja, Adolfo; Prieto, Luis P.; Ley, Tobias; Rodriguez-Triana, Maria Jesus; Dennerlein, Sebastian – IEEE Transactions on Learning Technologies, 2021
Despite the ubiquity of learning in workplace and professional settings, the learning analytics (LA) community has paid significant attention to such settings only recently. This may be due to the focus on researching formal learning, as workplace learning is often informal, hard to grasp, and not unequivocally defined. This article summarizes the…
Descriptors: Learning Analytics, Professional Education, Workplace Learning, Educational Trends
Houssam El Aouifi; Mohamed El Hajji; Youssef Es-Saady; Hassan Douzi – IEEE Transactions on Learning Technologies, 2024
Recently, using videos as a learning resource has received a lot of attention and turned widely exploited as an effective learning tool. With the rapid spread of instructional videos, the number of these tools in all disciplines is becoming very high. It is fractious for learners to find video courses adapted to their needs. Recommender system is…
Descriptors: Video Technology, Teaching Methods, Instructional Effectiveness, Cognitive Style
Andrea Zanellati; Daniele Di Mitri; Maurizio Gabbrielli; Olivia Levrini – IEEE Transactions on Learning Technologies, 2024
Knowledge tracing is a well-known problem in AI for education, consisting of monitoring how the knowledge state of students changes during the learning process and accurately predicting their performance in future exercises. In recent years, many advances have been made thanks to various machine learning and deep learning techniques. Despite their…
Descriptors: Artificial Intelligence, Prior Learning, Knowledge Management, Models
Matcha, Wannisa; Uzir, Nora'ayu Ahmad; Gasevic, Dragan; Pardo, Abelardo – IEEE Transactions on Learning Technologies, 2020
This paper presents a systematic literature review of learning analytics dashboards (LADs) research that reports empirical findings to assess the impact on learning and teaching. Several previous literature reviews identified self-regulated learning as a primary focus of LADs. However, there has been much less understanding how learning analytics…
Descriptors: Learning Analytics, Computer Interfaces, Educational Research, Learning Strategies
Tenorio, Thyago; Isotani, Seiji; Bittencourt, Ig Ibert; Lu, Yu – IEEE Transactions on Learning Technologies, 2021
The application of the collective intelligence (CI) concept has yielded significant results in many knowledge areas and it has substantial potential to yield results in the educational context. In view of distance education and online educational technologies, the use of CI has enormous potential to improve collaboration, social learning, and…
Descriptors: Intelligence, Educational Technology, Electronic Learning, Distance Education
Cosentino, Giulia; Giannakos, Michail – IEEE Transactions on Learning Technologies, 2023
Smart learning environments (SLEs) leverage technological developments to enable effective, engaging, and personalized learning. SLEs rely on sensor and advanced interconnectivity capabilities to infer and reason. A natural set of affordances for SLEs are those of multisensory environments (MSEs). MSEs enable humans to make full use of their…
Descriptors: Multisensory Learning, Technology Uses in Education, Educational Environment, Literature Reviews
Knobbout, Justian; van der Stappen, Esther – IEEE Transactions on Learning Technologies, 2020
Learning technologies enable interventions in the learning process aiming to improve learning. Learning analytics provides such interventions based on analysis of learner data, which are believed to have beneficial effects on both learning and the learning environment. Literature reporting on the effects of learning analytics interventions on…
Descriptors: Learning Analytics, Intervention, Educational Research, Outcomes of Education
Israel Ulises Cayetano-Jimenez; Erick Axel Martinez-Rios; Rogelio Bustamante-Bello; Ricardo A. Ramirez-Mendoza; Maria Soledad Ramirez-Montoya – IEEE Transactions on Learning Technologies, 2024
Educational robotics (ER) is a discipline of applied robotics focused on teaching robot design, analysis, application, and operation. Traditionally, ER has favored rigid robots, overlooking the potential of soft robots (SRs). While rigid robots offer insights into dynamics, kinematics, and control, they have limitations in exploring the depths of…
Descriptors: Robotics, Educational Technology, Teaching Methods, Learning Activities
Villalonga-Gomez, Cristina; Ortega-Fernandez, Eglee; Borau-Boira, Elena – IEEE Transactions on Learning Technologies, 2023
The application of the metaverse poses important challenges for the field of education. The aim of this article is to analyze the evolution of the development of the metaverse experiences in Higher Education and thus identify the key aspects of its application as a virtual environment for teaching and learning. To this end, a systematic literature…
Descriptors: Higher Education, Electronic Learning, Educational Environment, Second Language Instruction
Siren, Anni; Tzerpos, Vassilios – IEEE Transactions on Learning Technologies, 2022
Learning paths are curated sequences of resources organized in a way that a learner has all the prerequisite knowledge needed to achieve their learning goals. In this article, we systematically map the techniques and algorithms that are needed to create such learning paths automatically. We focus on open educational resources (OER), though a…
Descriptors: Open Educational Resources, Artificial Intelligence, Instructional Materials, Educational Technology
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