Journal of Learning Analytics
Published by UTS ePRESS (Journal Finder)
eISSN : 1929-7750
Abbreviation : J. Learn. Anal.
Aims & Scope
The Journal of Learning Analytics is a peer-reviewed, open-access journal, disseminating the highest quality research in the field.
The journal is the official publication of the Society for Learning Analytics Research (SoLAR).
With an international Editorial Board comprising leading scholars, it is the first journal dedicated to research into the challenges of collecting, analysing and reporting data with the specific intent to improve learning. “Learning” is broadly defined across a range of contexts, including informal learning on the internet, formal academic study in institutions (primary/secondary/tertiary), and workplace learning.
The journal seeks to connect learning analytics researchers, developers and practitioners who share the common interest in using data traces to better understand and improve learning through the creation and implementation of new tools and techniques and the study of transformations they engender.
The interdisciplinary focus of the journal recognizes that computational, pedagogical, institutional, policy and social perspectives must be brought into dialogue with each other to ensure that interventions and organizational systems serve the needs of all stakeholders.
Together, these communities each bring a valuable lens to provide ongoing input, evaluation and critique of the conceptual, technical, and practical advances of the field.
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2024 | 2.90 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 4848 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 466 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 0.997 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q1 |
h-index
| Year | Value |
|---|---|
| 2024 | 26 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Social Sciences, designed to support cutting-edge academic discovery.
Licensing & Copyright
This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.
Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.
