HomeSearchJournal of Learning Analytics

Journal of Learning Analytics

UTS ePRESS · Australia · Est. 2014

ISSN1929-7750eISSN1929-7750
SJR Q1WOS ESCIScopus / SJR
35
/ 100
High Risk
Score Breakdown
WoS ESCI+10
Scopus Q1+25
Total35
Journal Impact Factor
This journal is indexed in Web of Science (JCR) and has an official Journal Impact Factor. View the current value on the journal’s page ↗
SJR Score
0.997
H-Index
53
CiteScore
View ↗
Scopus metric · on the journal’s page
SNIP
1.654
Total Works
437
Total Citations
12,434
2yr Mean Citedness
3.81
Free JIF alternative

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 published three times a year and is the official publication of the Society for Learning Analytics Research (SoLAR) . With an international Editorial Board comprised of 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 a 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. The Journal of Learning Analytics welcomes papers that either describe original research or offer a review of the state of the art in a particular area. The journal also welcomes practice-focused papers that detail learning analytics applications in real-world settings, provided that they offer innovative insights for advancing the field. Other paper types accepted include Data Reports, Tool Reports, Open Peer Commentary and Book Reviews.

⚡ Speed vs Prestige
How does this journal balance review speed with impact level?
Q1
SJR Rank
Top 25% in field

General Information

Country / RegionAustralia
Primary LanguageEnglish
1st Year Published2014
Frequencythree times a year
StatusActive (last: 2025)
Total Publications437
Publisher OrgSociety for Learning Analytics Research
OA Since2017
Visit Journal Website

Submission Info

Peer Reviewdouble blind
Review Time
Acceptance Rate
OA LicenseAttribution 4.0 International (CC BY 4.0)
OA Rate

Ethics & Quality

COPE Member✗ No
OASPA Member✗ No
Not on Predatory Lists✓ Yes

Think.Check.Submit Compliance

8/12 · 67%
Do you know the journal / publisher?
UTS ePRESS
Does the journal have a website?
✓ Linked
Is the ISSN verified?
1929-7750 / 1929-7750
Indexed in a trusted database?
Scopus
Peer review process documented?
double blind
Follows ethical publishing standards (COPE)?
N/A
APC fees clearly disclosed?
Yes
Not on predatory/blacklists?
✓ Clean
Long-term digital preservation?
N/A
Plagiarism detection in place?
N/A
Listed in DOAJ (verified OA)?
N/A
Primary language documented?
English

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Publication & Citation Trend

Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026

Source: OpenAlex · Note: citations accumulate over time so older years appear higher

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Computer Science ApplicationsQ1
EducationQ1

Subject Classification

Web of Science Categories

Education & Educational Research

Scopus Categories

Computer Science ApplicationsEducation

Research Topics (OpenAlex)

Online Learning and AnalyticsInnovative Teaching and Learning MethodsIntelligent Tutoring Systems and Adaptive LearningOnline and Blended LearningE-Learning and Knowledge ManagementEducational Games and GamificationStudent Assessment and FeedbackSoftware System Performance and ReliabilityAdvanced Graph Neural NetworksEducational Assessment and Improvement
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Data updated: 2026-05-22 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref