The benefits and caveats of using clickstream data to understand student self-regulatory behaviors: opening the black box of learning processes

The benefits and caveats of using clickstream data to understand student self-regulatory behaviors: opening the black box of learning processes

Abstract Student clickstream data—time-stamped records of click events in online courses—can provide fine-grained information about student learning. Such data enable researchers and instructors to collect information at scale about how each student navigates through and interacts with online educat...

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Bibliographic Details
Main Authors: Rachel Baker, Di Xu, Jihyun Park, Renzhe Yu, Qiujie Li, Bianca Cung, Christian Fischer, Fernando Rodriguez, Mark Warschauer, Padhraic Smyth
Format: Article
Language:English
Published: SpringerOpen 2020-04-01
Series:International Journal of Educational Technology in Higher Education
Subjects:
Online education
Clickstream data
Descriptive analysis
Intervention
Online Access:http://link.springer.com/article/10.1186/s41239-020-00187-1

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http://link.springer.com/article/10.1186/s41239-020-00187-1

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