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Design Research: Using Data Analytics to Advance Design Knowledge
Sun, April 19, 12:25 to 1:55pm, Virtual RoomSession Type: Paper Session
Abstract
Design-Based Research (DBR) pursues dual goals: to resolve educational problems and to advance design theories. To this end, DBR often takes advantage of a data analytics approach supported by advanced learning technologies. In this session, studies demonstrate how data-driven investigation was conducted to provide evidence-based suggestions for design improvement.
Sub Unit
Chair
Papers
A Constructionist Approach to Teaching Financial Literacy - J.D Jayaraman, New Jersey City University; John B. Black, Teachers College, Columbia University
Longitudinal Analysis of Cognitive and Affective Learning Outcomes in Problem-Based Learning Simulation Designs - Andrew Tawfik, University of Memphis; Jacque Bradford, University of Tennessee Health Systems
Educational Design Research: The Validation of Application of Case Studies to Enhance Digital Reading Experiences - Erin Mwanje, Pearson Education, Inc.; Tiantian Jin, Pearson Education, Inc.; Quincy Conley, A. T. Still University; Jessica Yarbro, Pearson Education, Inc.
Maximizing the Digital Reading Experience in e-Textbooks: How Much Is Too Much on a Page? - Tiantian Jin, Pearson Education, Inc.; Quincy Conley, A. T. Still University; Ross Metusalem, Pearson Education, Inc.
Technology-Supported Reading Comprehension: A Design Research of the Student Mental Model Analyzer for Research and Teaching - Cassandra J. Gaul, Georgia State University; Min Kyu Kim, Georgia State University; Crystal N Bundrage, Georgia State University; Reeny Madathany, Georgia State University
Design Research on Learner Participation Feedback Within Peer-Moderated Asynchronous Online Discussions - Cassandra J. Gaul, Georgia State University; Min Kyu Kim, Georgia State University