August 31, 2018
Learning analytics refers to the measurement, collection, analysis and reporting of data about learners and their contexts, in order to understand and optimize learning and the environments in which learning occurs.
The Learning Analytics and Knowledge conference, the annual event of the Society for Learning Analytics Research (SoLAR), brings together an international group of researchers, practitioners, educators, leaders, administrators, and government and industry professionals interested in learning analytics and related fields.
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The 2019 conference is headed to Arizona State University March 4–8.
Sharon Hsiao, an assistant professor in ASU's School of Computing, Informatics, and Decision Systems Engineering, Jim Cunningham of the ActionLab at EdPlus, and Katie McCarthy, a former postdoctoral scholar in the Science of Learning and Educational Techonology Lab, nominated ASU by emphasizing the university’s charter that proclaims ASU is “measured not by whom it excludes, but by whom it includes and how they succeed’.
Because of ASU’s commitment to innovation and inclusion, the theme of this year’s conference is ways in which learning analytics can be used to promote inclusion and success. LAK welcomes theoretical, methodological, empirical and technical contributions that address questions such as:
• Universal design for learning promotes an inclusive approach to the curriculum — how can learning analytics support curriculum design and revision from this perspective?
• How can analytics be applied in ways that support inclusion and success?
• How can the training of data scientists be made more inclusive?
• What does educational success look like, and how can it be supported?
• How can systematic biases (e.g. related to diversity) in our analytics algorithms be identified, reflected and possibly avoided?
Call for papers
The Learning Analytics and Knowledge conference invites paper submissions for several tracks: research (full and short), practitioner, workshops and tutorials, posters and demos, and doctoral consortium. The submission deadline for all tracks is Oct.1, 2018.
Learn more about paper submission guidelines and important conference dates.