Academic Journal
Q1IEEE Transactions on Learning Technologies
About IEEE Transactions on Learning Technologies
IEEE Transactions on Learning Technologies is a scholarly journal published by Institute of Electrical and Electronics Engineers Inc.. SCImago 2025 lists it in Q1, with an SJR of 1.893 and H-index of 74.
Coverage: 2008-2026. Research categories: Computer Science Applications (Q1); Education (Q1); E-learning (Q1); Engineering (miscellaneous) (Q1).
Source-backed journal facts
Topics in published research
Online Learning and Analytics; Innovative Teaching and Learning Methods; Intelligent Tutoring Systems and Adaptive Learning; Online and Blended Learning; Educational Games and Gamification; Teaching and Learning Programming.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Reported open-access list prices
2,645.00 USD
APC list prices reported by OpenAlex, which obtains this information from DOAJ. Confirm current charges, taxes, waivers and eligibility with the publisher; this is not a fee quotation.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
Integrating Blended Learning Behaviors via Multimodal Fusion for Student Performance Prediction
Han Wan, Shiyang Yue, Mengying Li, Xin Luo et al.
2026 · DOI: 10.1109/tlt.2026.3660059FC-RAG: Enhancing Football Coaching With Multimodal Retrieval-Augmented Generation
Zhiyuan Wang, Hengding Wang, Guoyue Xiong, Ruofei Lin et al.
2026 · DOI: 10.1109/tlt.2026.3656190IAEAgent: LLM-Based Educational Agent for Instructional Alignment Evaluation in University Courses
Junqi Liao, Minjuan Wang, Xiaofei Wu, Yizhi Wang et al.
2026 · DOI: 10.1109/tlt.2026.3695576Against Techno-Feudalism in Academia: Reclaiming Scholarly Autonomy in the Age of AI
Jin Yang, Jincheng Guo, Lili Gong
2026 · DOI: 10.1109/tlt.2026.3673243Multimodal Affective Computing in the Era of LLM-based Educational Agents: Key Insights, Challenges, and Future Prospects
Juan Yang, Minjuan Wang, Xu Du, Qiwei Ma et al.
2026 · DOI: 10.1109/tlt.2026.3738338Multimodal Conversational Emotion Recognition in Education With Uncertain Missing Modalities: A Graph Fusion Network Approach
Juan Yang, Ruinan Shi, Xu Du, Yiqian Xie et al.
2026 · DOI: 10.1109/tlt.2026.3691830An Interpretable Closed-Loop Intelligent Tutoring System for Multimodal Affective Feedback in Asynchronous Presentation Training
Hung-Yue Suen, Kuo-En Hung
2026 · DOI: 10.1109/tlt.2026.3693864Semantic Alignment With an AI-Derived Reference in Relation to Children's Scientific Creativity
Zheng Wang, Minjuan Wang, Xuefan Li, Weiping Hu et al.
2026 · DOI: 10.1109/tlt.2026.3728788A TextGrad-Inspired Optimization Pipeline for AI-Assisted Generation of Lecture Notes and Problem Sets
Chi Chiu So, Cheuk Ho Lee, Dan Yang, Anthony Wai Keung Loh et al.
2026 · DOI: 10.1109/tlt.2026.3731978Auto-TSCD: Automated Discovery of Interpretable Temporal Cognitive Diagnosis Rules for Intelligent Tutoring Systems
Yifei Sun, Mingkai Duan, Sicheng Hou, Shi Cheng et al.
2026 · DOI: 10.1109/tlt.2026.3729582A Dynamic Eye-Movement Alignment Method for Assessing Context-Based Mathematical Problem-Solving
Sijia Hao, Huanghe Pan, Pei Sun, Jingjing Chen et al.
2026 · DOI: 10.1109/tlt.2026.3688724A Mixed-Methods Comparative Study of Remote and Traditional SDR Laboratories via Bloom’s Taxonomy, Surveys, and Focus Group
Rania Hussein, Zhiyun Zhang, Marcos Inoñan, Pablo Orduña et al.
2026 · DOI: 10.1109/tlt.2026.3681300Modeling Cognitive Processes of Learners Based on BiGRU-Attention: A Dual-Phase Framework
Beibei Liu, Fei Hao, Ruoxia Yao, Yishui Zhu et al.
2026 · DOI: 10.1109/tlt.2026.3681668ConfuciusLM: Exploring Confucian Personalized Instruction for Primary Learners With Large Language Models
Xin Xu, Xinya Lu, Yusi Yan, Mao Tian et al.
2026 · DOI: 10.1109/tlt.2026.3688630An HRI Study of an LLM-Based Social Robot Delivering a University Lecture
S. Pashangpour, G. Nejat
2026 · DOI: 10.1109/tlt.2026.3710170MTGKT: Multiscale Temporal Graph Knowledge Tracing
Dong Liu, Chenghao Luo, Daolong Li, Yiliu Tu et al.
2026 · DOI: 10.1109/tlt.2026.3707679A Three-Factor Model of Engagement and Persistence From Difficulty-Adjusted Practice Decisions in Online Mathematics Learning
Conrad Borchers, Kirk Vanacore, Markus W. H. Spitzer, Korbinian Moeller et al.
2026 · DOI: 10.1109/tlt.2026.3713651Extending Attention Analysis in E-Learning: Eye-Tracking Metrics That Analyze Gaze Within and Outside AOIs
Cheolhyeon Han, Frensen Salim, Sangjae Lee, Kyungwan Choi et al.
2026 · DOI: 10.1109/tlt.2026.3700863Redesigning Math Assessment Items as Video Stories is Associated With Reduced Physiological Stress
Fettah Kiran, Paul T. Cirino, Ioannis Pavlidis
2026 · DOI: 10.1109/tlt.2026.3715735Enhancing Collaborative Problem Solving Through AI Personal Assistant Interactions: Insights From Diverse Prior Knowledge Groups
Yeye Tang, Xu Du, Jui-Long Hung, Minjuan Wang et al.
2026 · DOI: 10.1109/tlt.2026.3713908Reviews
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September 25, 2026 at 7:12 am
September 25, 2026