Mining Big Data in Education: Affordances and Challenges

• Published in: Review of research in education Vol. 44; no. 1; pp. 130 - 160
• Main Authors: Fischer, Christian, Pardos, Zachary A., Baker, Ryan Shaun, Williams, Joseph Jay, Smyth, Padhraic, Yu, Renzhe, Slater, Stefan, Baker, Rachel, Warschauer, Mark
• Format: Journal Article
• Language: English
• Published: Los Angeles, CA SAGE Publications 01.03.2020
• Subjects: Cognitive Processes; Data Analysis; Data Collection; Decision Making; Grouping (Instructional Purposes); Institutional Characteristics; Instructional Effectiveness; Integrated Learning Systems; Learner Engagement; Online Courses; Privacy; School Effectiveness; Student Behavior; Student Evaluation; Student Writing Models; Thinking Skills

The emergence of big data in educational contexts has led to new data-driven approaches to support informed decision making and efforts to improve educational effectiveness. Digital traces of student behavior promise more scalable and finer-grained understanding and support of learning processes, wh...