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 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 the common interest of 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 (see the journal's Focus and Scope for details).

Manuscripts can be submitted to the Journal of Learning Analytics at any time. Only manuscripts for special sections should be submitted by the specific date as defined in the call for papers of the special section. Special section paper calls can be found in the Announcements section.

Special Section on Collaboration Analytics- Call for Papers


We invite contributions to a special issue of the Journal of Learning Analytics (JLA) on Collaboration Analytics. The goal of this special issue is to build upon promising multimodal sensing technologies, collaborative tools and emerging data analytics techniques to provide researchers with a new lens for understanding human collaboration in a variety of settings.

Learning Design and Learning Analytics - Call for Papers


How might learning analytics actually inform learning design decisions? How should learning design influence learning analytics integration and use? Are there frameworks or principles that best illuminate connections between learning analytics and learning design?

Vol 6 No 2 (2019): Volume 6, Issue 2 - 2019

Published: 2019-08-05

Human-Centred Learning Analytics

Simon Buckingham Shum, Rebecca Ferguson, Roberto Martinez-Maldonado


Working Together in Learning Analytics Towards the Co-Creation of Value

Mollie Dollinger, Danny Liu, Natasha Arthars, Jason Lodge


Engaging Faculty in Learning Analytics: Agents of Institutional Culture Change

George Rehrey, Linda Shepard, Carol Hostetter, Amberly Maurine Reynolds, Dennis Groth


nStudy: Software for Learning Analytics about Processes for Self-Regulated Learning

Philip H Winne, Kenny Teng, Daniel Chang, Michael Pin-Chuan Lin, Zahia Marzouk, John C Nesbit, Alexandra Patzak, Mladen Raković, Donya Samadi, Jovita Vytasek


An Infrastructure for Workplace Learning Analytics: Tracing Knowledge Creation with the Social Semantic Server

Adolfo Ruiz Calleja, Sebastian Dennerlein, Dominik Kowald, Dieter Theiler, Elisabeth Lex, Tobias Ley


Analysis of Student Behavior Using the R Package crsra

Aboozar Hadavand, John Muschelli, Jeffrey Leek


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