Call for papers: Special section on multimodal learning analytics

The special section on multimodal learning analytics is focused on research that discusses the salience of using data from a combination of modalities (or data streams) to enhance the field’s ability to support, understand and improve student learning. Papers can come from a variety of learning contexts, and are free to utilize any number of data sources. Additionally, papers in this special issue should feature both an in-depth presentation of any analytic approaches utilized, as well as theoretical justification for the analytic techniques and the reported findings. Finally, authors are encourage to explore new metrics and analytic techniques, and should consider reporting their findings even if they do not garner the expected results.  
Posted: 2014-11-20 More...

Call for papers: Special issue on learning analytics and learning theory

This special issue focuses on the intersection of learning theory and analytics. Specifically it will present a collection of papers demonstrating the ways in which learning theories are being used to craft analytics, how analytics have helped us advance learning theories, and the initial development of theories of learning with analytics.  
Posted: 2014-06-21 More...

Call for papers: Special issue on self regulated learning and analytics

Self Regulated Learning and Analytics
- What can analytics tell us about how learners regulate their learning?
- How can analytics help learners to better regulate their learning?

Posted: 2014-05-08 More...
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