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?

Special section on multimodal learning analytics - Call for Papers


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.

Special Section on learning analytics and learning theory - Call for Papers


This special section 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.