Learning Analytics and Computational Techniques for Detecting and Evaluating Patterns in Learning: An Introduction to the Special Issue

2013 ◽  
Vol 22 (4) ◽  
pp. 511-520 ◽  
Author(s):  
Taylor Martin ◽  
Bruce Sherin
Keyword(s):  
Learning Analytics ◽  
Computational Techniques ◽  
Special Issue

scholarly journals Learning as a Machine. Crossovers Between Humans and Machines

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Mireille Hildebrandt
Keyword(s):  
Learning Process ◽  
Learning Analytics ◽  
Active Participation ◽  
Theory And Practice ◽  
Academic Disciplines ◽  
Special Issue ◽  
Rich Diversity ◽  
Current Thinking ◽  
Multidisciplinary Nature ◽  
The Rich

This article introduces the special issue from SoLAR’s 2016 Learning Analytics and Knowledge conference. The field of learning analytics (LA) draws heavily on theory and practice from a range of diverse academic disciplines. In so doing, LA research embodies a rich integration of methodologies and practices, assumptions and theory to bring new insights into the learning process. Reflecting this rich diversity, the theme of LAK 2016 highlights the multidisciplinary nature of the field and embraces the convergence of these disciplines to provide theoretical and practical insights to challenge current thinking in the field.  This overview introduces six articles, each of which expands on an invited talk or paper from the conference, with the added goal of offering a small taste of the rich experience that comes from  active participation in the conference. 

scholarly journals LAK16 Editorial

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Carolyn Penstein Rosé ◽  
Shane Dawson ◽  
Hendrik Drachsler
Keyword(s):  
Learning Process ◽  
Learning Analytics ◽  
Active Participation ◽  
Theory And Practice ◽  
Academic Disciplines ◽  
Special Issue ◽  
Rich Diversity ◽  
Current Thinking ◽  
Multidisciplinary Nature ◽  
The Rich

This article introduces the special issue from SoLAR’s 2016 Learning Analytics and Knowledge conference. The field of learning analytics (LA) draws heavily on theory and practice from a range of diverse academic disciplines. In so doing, LA research embodies a rich integration of methodologies and practices, assumptions and theory to bring new insights into the learning process. Reflecting this rich diversity, the theme of LAK 2016 highlights the multidisciplinary nature of the field and embraces the convergence of these disciplines to provide theoretical and practical insights to challenge current thinking in the field.  This overview introduces six articles, each of which expands on an invited talk or paper from the conference, with the added goal of offering a small taste of the rich experience that comes from  active participation in the conference.

scholarly journals Widening the Field and Sparks of the Future

2015 ◽  
Vol 1 (3) ◽  
pp. 1-3
Author(s):  
Negin Mirriahi ◽  
Shane Dawson ◽  
Dragan Gasevic ◽  
Philip D. Long
Keyword(s):  
Doctoral Students ◽  
Hot Spots ◽  
Learning Analytics ◽  
Course Design ◽  
Harvard University ◽  
Summer Institute ◽  
Pedagogical Practice ◽  
Special Issue ◽  
International Learning ◽  
Broad Scale

This issue of the Journal of Learning Analytics comprises two special issue sections. The first of which presents five papers from the 4th International Learning Analytics and Knowledge conference held in Indianapolis. The second showcases the current or recent work of doctoral students who attended the 2nd Learning Analytics Summer Institute at Harvard University, Boston. The issue also includes two articles in the Hot Spots section, discussing the application of learning analytics initiatives in higher education institutions from different perspectives – broad-scale initiatives to individual course design. The breadth and diversity of the articles covered in this issue demonstrate how the discipline has matured and moved towards understanding student learning to inform pedagogical practice and curricular redesign coupled with strategies for the application and adoption of LA strategies across institutions

scholarly journals Learning Analytics Research, Theory and Practice: Widening the Discipline

2014 ◽  
Vol 1 (3) ◽  
pp. 4-6 ◽  
Author(s):  
Abelardo Pardo ◽  
Stephanie Teasley
Keyword(s):  
Big Data ◽  
Learning Analytics ◽  
Theory And Practice ◽  
Special Issue ◽  
Broad Audience ◽  
Learning Research ◽  
Depth View

This article introduces the special issue presenting five papers from SoLAR’s Learning Analytics and Knowledge 2014 conference. The authors of these papers were invited to expand their original papers to provide a more in-depth view of their work and one that would reach out to a broad audience. The papers included here provide a view into the diversity of LA research presented at LAK 14 and demonstrate exciting new avenues by which the field is expanding. We believe that the papers presented here move the field ahead by contributing to a wider discourse about how we can effectively and ethically utilize “big data” to inform learning research and theory, and the resulting practices that support learning.

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