IEEE

IEEE Transactions on Learning Technologies Template

Write in a clean editor, then format for IEEE Transactions on Learning Technologies in one click — DocuGuru applies the official IEEE template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the IEEE Transactions on Learning Technologies format

IEEE Transactions on Learning Technologies is a peer-reviewed journal published by IEEE, covering Online Learning and Analytics, Innovative Teaching and Learning Methods, Intelligent Tutoring Systems and Adaptive Learning. Over its lifetime it has published 1,159 papers, which have received 35,252 citations.

PublisherIEEE
Reference styleNumbered (IEEE)
Numbered — [1], [2] in the text
[1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Learning Technologies, vol. 12, no. 3, pp. 45–58, 2023.

Formats any DOI in IEEE Transactions on Learning Technologies style. No sign-up.

Abbreviation (ISO-4)TLT
Publishes research inOnline Learning and Analytics Innovative Teaching and Learning Methods Intelligent Tutoring Systems and Adaptive Learning Online and Blended Learning Educational Games and Gamification
ISSN1939-1382
Citation impact (2-yr)12.14
h-index85
i10-index679
Top institutions publishing hereEducation University of Hong Kong
Journal websitewww.computer.org
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in IEEE Transactions on Learning Technologies per year

55
2014
38
2015
66
2016
77
2017
48
2018
53
2019
46
2020
70
2021
109
2022
149
2023
103
2024
78
2025

Citation impact of IEEE Transactions on Learning Technologies by publication year

3.6K
2014
1.6K
2015
3.1K
2016
2.3K
2017
2.2K
2018
1.9K
2019
1.7K
2020
1.5K
2021
2K
2022
2.8K
2023
2.3K
2024
389
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in IEEE Transactions on Learning Technologies

Context-Aware Recommender Systems for Learning: A Survey and Future Challenges

Katrien Verbert, Nikos Manouselis, Xavier Ochôa et al. · 27 Apr 2012

Recommender systems have been researched extensively by the Technology Enhanced Learning (TEL) community during the last decade. By identifying suitable resources from a potentially overwhelming variety of choices, such systems offer a promising approach to facilitate both learning and teaching tasks. As learning is taking place in extremely diverse and rich environments, the incorporation of…

Gamification for Engaging Computer Science Students in Learning Activities: A Case Study

Maria-Blanca Ibanez, Ángela Di Serio, Carlos Delgado Kloos · 6 Jun 2014

Gamification is the use of game design elements in non-game settings to engage participants and encourage desired behaviors. It has been identified as a promising technique to improve students' engagement which could have a positive impact on learning. This study evaluated the learning effectiveness and engagement appeal of a gamified learning activity targeted at the…

Augmented Reality Learning Experiences: Survey of Prototype Design and Evaluation

Marc Ericson C. Santos, Angie Chen, Takafumi Taketomi et al. · 1 Jan 2014

Augmented reality (AR) technology is mature for creating learning experiences for K-12 (pre-school, grade school, and high school) educational settings. We reviewed the applications intended to complement traditional curriculum materials for K-12. We found 87 research articles on augmented reality learning experiences (ARLEs) in the IEEE Xplore Digital Library and other learning technology publications. Forty-three…

A Virtual Reality Dance Training System Using Motion Capture Technology

Jacky C. P. Chan, Howard Leung, Jeff K. T. Tang et al. · 27 Aug 2010

In this paper, a new dance training system based on the motion capture and virtual reality (VR) technologies is proposed. Our system is inspired by the traditional way to learn new movements-imitating the teacher's movements and listening to the teacher's feedback. A prototype of our proposed system is implemented, in which a student can imitate…

Predicting Student Performance from LMS Data: A Comparison of 17 Blended Courses Using Moodle LMS

Rianne Conijn, Chris Snijders, Ad Kleingeld et al. · 12 Oct 2016

With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables extracted from the…

IEEE Transactions on Learning Technologies template — frequently asked questions

How do I write a paper in the IEEE Transactions on Learning Technologies format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the IEEE Transactions on Learning Technologies template. When you export, DocuGuru compiles the paper into the official IEEE format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does IEEE Transactions on Learning Technologies use?
IEEE Transactions on Learning Technologies uses Numbered (IEEE) references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Learning Technologies, vol. 12, no. 3, pp. 45–58, 2023.
Do I need to know LaTeX to submit to IEEE Transactions on Learning Technologies?
No. DocuGuru generates the IEEEtran LaTeX class and compiles the PDF for you in the background, so you get a IEEE-ready IEEE Transactions on Learning Technologies document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the IEEE Transactions on Learning Technologies template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the IEEE Transactions on Learning Technologies format with correct headings, figures, tables, and numbered citations.
Who publishes IEEE Transactions on Learning Technologies?
IEEE Transactions on Learning Technologies is a engineering and computer science journal published by IEEE. DocuGuru's IEEE Transactions on Learning Technologies template matches IEEE's official submission format.
Can I export a submission-ready IEEE Transactions on Learning Technologies PDF?
Yes — DocuGuru produces a PDF built with the official IEEE Transactions on Learning Technologies template (the IEEEtran class) that is ready to submit to IEEE, together with the matching LaTeX source files.
How much does the IEEE Transactions on Learning Technologies template cost?
You can start writing in the IEEE Transactions on Learning Technologies template for free. Exporting the final submission-ready IEEE Transactions on Learning Technologies PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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