Using Learning Analytics and Educational Data Mining to Understand Scripted and Exploratory Learning Environments: Toward a Common Theoretical and Methodological Framework to Investigate the Trajectory to Expertise

• In Event: Roundtable Session 98

Session Submission Type: Roundtable Session

Abstract

Learning Analytics (LA) and Educational Data Mining (EDM) have received great attention from the research community, but the field is greatly divided between scholars working on different kinds of environments: online courses, cognitive tutors, text-mining, or exploratory learning environments. The goal of this symposium is to bring together researchers coming from different academic perspectives, to explore and examine common LA/EDM methodological and theoretical threads with wide applicability within the learning sciences. The papers presented, coming from several different institutions, explore text mining in clinical interviews, moment-by moment learning curves and traces, data mining of programming logs, and cognitive tutors, representing the main perspectives and methodological approaches in the field, contributing a more cohesive research agenda within the field of LA/EDM.

Sub Unit

• SIG-Advanced Technologies for Learning

Chair

• Kenneth R. Koedinger, Carnegie Mellon University

Papers

• Using Dynamic Time Warping and Cluster Analysis to Analyze the Learning of Computer Programming - Paulo Blikstein, Stanford University; Mustafa Safdari, Stanford University; Marcelo Worsley, Stanford University

• Visualizing how novice programmers share code - Matthew W. Berland, University of Wisconsin - Madison; Taylor Martin, Utah State University; Tom Benton, The University of Texas - Austin; Carmen Petrick Smith, University of Vermont

• Automated Discovery of Commonsense Science Knowledge - Bruce Sherin, Northwestern University

• Leveraging Educational Data Mining and Human Judgment to Understand Moment-by-Moment Patterns in Student Learning - Ryan S. Baker, Worcester Polytechnic Institute; Adam B. Goldstein, Worcester Polytechnic Institute; Lisa M. Rossi, Worcester Polytechnic Institute; Albert T. Corbett, Carnegie Mellon University

• Adaptive Support and Task Generation in Exploratory Learning Environments - Ido Roll, The University of British Columbia