[on behalf of Dragan Gasevic]
Call for papers
Special Issue in Australasian Journal of Educational Technology
Theme: Learning Analytics: Pathways to Impact
Due to several requests, we decided to extend the submission deadline to
the special issue.
Guest Editors
- A.Prof Linda Corrin, Swinburne University of Technology,
lcorrin@xxxxxxxxxxx
- Prof. Dragan Gasevic, Monash University, dragan.gasevic@xxxxxxxxxxxxx
- Dr. Maren Scheffel, Open University of the Netherlands,
Maren.Scheffel@xxxxx
Focus of the special issue
The field of learning analytics has evolved over the past decade to provide
new ways to view, understand and enhance learning activities and
environments in tertiary education. It brings together research and
practice traditions from multiple disciplines to provide an evidence base
to inform student support and effective design for learning. This has
resulted in a plethora of ideas and research exploring how data can be
analysed and utilised to not only inform educators in the classroom, but
also to drive online learning systems that offer personalised learning
experiences and/or feedback for students. However, a core challenge that
continues to face the learning analytics community is how the impact of
these innovations can be demonstrated. As more and more institutions
implement strategies to take advantage of learning analytics as part of
core business, it is important that such impact can be evaluated and scaled
to ensure effectiveness and sustainability.
This special issue provides an opportunity to explore the pathways to
impact of learning analytics-based interventions and implementations in the
tertiary education environment.
Topics for this special issue may include, but are not limited to:
- Approaches to scaling adoption and impact of learning analytics
- Strategies for measuring the impact of learning analytics
- Evaluation frameworks for learning analytics implementation
- The intersection between learning analytics and learning design
- Theoretical lens that help to determine how data can be used as
indicators of learning
- Validity and reliability of indicators and data analysis models in
learning analytics
- Factors that mediate the impact of learning analytics (e.g. ethics)
- Approaches that promote the interpretability of analytics outputs for
stakeholders
- Policy and strategy frameworks for implementation of learning analytics
- Leadership models for planning and implementation of learning analytics
- Approaches that promote stakeholder involvement in adoption of
learning analytics
- Participatory design and co-creation of learning analytics
- Case studies of learning analytics implementation and impact
Manuscript Submission Instructions
Manuscripts addressing the special issue’s focus should be submitted
through the AJET online manuscript submission system
<https://ajet.org.au/index.php/AJET/about/submissions>. Please review the
Author Guidelines and Submission Preparation Checklist carefully, and
prepare your manuscript accordingly. Information about the peer review
process and criteria is also available for your perusal.
NOTE: When submitting your manuscript, please include a note in the field
called ‘Comments for the Editor’ indicating that you wish it to be
considered for the “Learning Analytics” special issue. Please direct
questions about manuscript submissions to Linda Corrin at:
lcorrin@xxxxxxxxxxx.
Deadlines for authors
- Final submission deadline: 17th July 2020
- Decision on manuscripts: 28th September 2020
- Revised/final manuscripts: 23rd October 2020
- Expected Publication: December 2020