Innovative Learning Analytics for Evaluating Effectiveness of First Principles of Instruction

• In Event: FR (v)- Learning Analytics

Short Description

We describe a forward-thinking research methodology that uses big data to evaluate the effectiveness of online instruction. Analysis of Patterns in Time (APT) is a practical analytic approach that analyzes meaningful patterns in massive data sets, capturing temporal maps of students’ learning journeys by combining qualitative and quantitative methods. We demonstrate how APT can yield strong, easily generalizable empirical evidence through big data, documenting the extraordinary effectiveness of First Principles of Instruction.

Authors

• Presenter: Ted Frick, Indiana University

• Contributor: Rodney D. Myers, Independent Scholar

• Presenter: Cesur Dagli, Virginia Tech