34.075 - Symposium on Intelligent Tutoring Systems, BIG DATA–Learning Analytics, and Automated Humanlike Tutoring: Similarities and Differences

Session Type: Symposium

Abstract

Adaptive learning in recent years has become a major topic in both research and educational practice. This topic has a long history and is a subject of both intense research and product development. Yet, there are many unanswered questions as to viability and benefits.

This symposium will focus on three major approaches: Intelligent Tutoring Systems (ITS), Learning Analytics (BIG DATA) and Automated Human Tutors. After presentations focusing on each of these approaches, the symposium will be opened up to discussions among the presenters, discussants, and audience.

These presentations will be followed by comments and questions from a panel of experienced investigators representing a variety of views.

Sub Unit

• SIG-Technology, Instruction, Cognition & Learning

Chair

• Elena Novak, Kent State University

Papers

• Intelligent Tutoring System: Challenges in Authoring, Instructional Management, and Evaluation Methods for Adaptive Instructional Systems - Robert Sottilare, U.S. Army Research Laboratory

• Precision Education: Using Prior Students' Data to Personalize Instruction for Future Students - Dexter Fletcher, Institute for Defense Analyses

• Modeling Human Tutors - Joseph M. Scandura, Merge Research Institute

Discussants

• Wellesley R. Foshay, Walden University

• J. Michael Spector, University of North Texas

• Scott Joseph Warren, University of North Texas

• Gilbert Paquette