The benefits and caveats of using clickstream data to understand student self-regulatory behaviors: opening the black box of learning processes
By automatically recording students’ interactions with online course materials, clickstream data provide a valuable new source of information on student learning behaviors. These data can be used to define and identify behavioral patterns that are related to student learning outcomes, suggest behavioral changes to students for greater success, and provide insights regarding the mechanisms by which education interventions affect student outcomes.
Baker, R., Xu, D., Park, J. et al. The benefits and caveats of using clickstream data to understand student self-regulatory behaviors: opening the black box of learning processes. Int J Educ Technol High Educ 17, 13 (2020). https://doi.org/10.1186/s41239-020-00187-1
(I had the honor of speaking with Dr. Baker last week about U.S. education metrics & policy. What a dedicated person and professor.)