Copyright © 2019 for the individual papers by the papers' authors. Copyright © 2019 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).
Preface The Approaches and Challenges in Team Tutoring Workshop was conducted in conjunction with the 20th Artificial Intelligence in Education Conference (AIED) in Chicago, IL, in June 2019. This workshop focused on different approaches and challenges of team tutoring within intelligent tutoring systems (ITSs). The workshop included many examples of team tutoring in action in different domains, as well as lessons learned from the development of the team tutors. The goals of this workshop included identifying challenges and approaches in team tutoring. One representative element of challenges in team tutoring included how they were overcome by our presenters, findings that can assist other researchers in the future. The workshop concluded with a discussion of the current gaps in the team tutoring domain, commonalities in the challenges that were identified, as well as steps forward for team tutoring. The challenges and approaches identified are captured in the papers included in this proceedings. iii Introduction to Approaches and Challenges in Team Tutoring
Team Data Analysis Using FATE: Framework for Automated Team Evaluation
Sensing Team Interaction to Enhance Learning and Performance during Adaptive Instruction
Toward Computational Models of Team Effectiveness with Natural Language Processing
Intelligent After-Action Review Support Tools for Large Team Training
Team Tutoring Automated Content Discovery and Learning Objective Alignment
Towards Dynamic Intelligent Support for Collaborative Problem Solving
An Appraisal of a Collaboration-Metric Model based on Text Discourse
Simulating Team Tutoring in Multiagent Environments 1-4 5-14 15-29 30-39 40-49 50-58 59-65 66-76 87-96