BUILDING INTELLIGENT TUTORING SYSTEMS FOR TEAMS : WHAT MATTERS

This chapter examines some of the challenges and emerging strategies for authoring, distributing, managing, and evaluating Intelligent Tutoring Systems (ITSs) to support computer-based adaptive instruction for teams of learners. Several concepts related to team tutoring are defined along with team processes, and fundamental tutoring concepts are provided including a description of the learning effect model (LEM), an exemplar describing interaction between learners and ITSs with the goal of realizing optimal tutor decisions. The challenges noted herein are closely related to the LEM and range from acquisition of learner data, synthesis of individual learner and team state models based on available data, and tutor decisions which center on optimizing strategies (recommendations) and tactics (actions) given the state of the learner, the team, and the conditions under which they are being instructed, the environment. Finally, we end this chapter with recommendations on how to use this book to understand and design effective ITSs for teams.

[1]  Robert A. Sottilare,et al.  A Comprehensive Review of Design Goals and Emerging Solutions for Adaptive Instructional Systems , 2018 .

[2]  Robert A. Sottilare,et al.  Designing Adaptive Instruction for Teams: a Meta-Analysis , 2017, International Journal of Artificial Intelligence in Education.

[3]  Robert A. Sottilare,et al.  Shared Mental Models in Support of Adaptive Instruction for Teams Using the GIFT Tutoring Architecture , 2018, International Journal of Artificial Intelligence in Education.

[4]  Joseph J. LaViola,et al.  Adaptive instruction for medical training in the psychomotor domain , 2017 .

[5]  Mykola Pechenizkiy,et al.  Towards Proximity Tracking and Sensemaking for Supporting Teamwork and Learning , 2017, 2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT).

[6]  Robert A. Sottilare,et al.  A Cognitive Modeling Approach - Does Tactical Breathing in a Psychomotor Task Influence Skill Development during Adaptive Instruction? , 2017, HCI.

[7]  Jonathan P. Rowe,et al.  Affect Dynamics in Military Trainees Using vMedic: From Engaged Concentration to Boredom to Confusion , 2017, AIED.

[8]  Robert A. Sottilare,et al.  An Updated Concept for a Generalized Intelligent Framework for Tutoring (GIFT) , 2017 .

[9]  Michael W. Boyce,et al.  Interpretative Phenomenological Analysis for Military Tactics Instruction , 2017 .

[10]  James A. Kulik,et al.  Effectiveness of Intelligent Tutoring Systems , 2016 .

[11]  Arthur C. Graesser,et al.  Conversations with AutoTutor Help Students Learn , 2016, International Journal of Artificial Intelligence in Education.

[12]  Eduardo Salas,et al.  Team Training Essentials: A Research-Based Guide , 2015 .

[13]  Olusola O. Adesope,et al.  Intelligent tutoring systems and learning outcomes: A meta-analysis , 2014 .

[14]  Dong Yu,et al.  Deep Learning: Methods and Applications , 2014, Found. Trends Signal Process..

[15]  Daniel F. McCaffrey,et al.  Effectiveness of Cognitive Tutor Algebra I at Scale , 2014 .

[16]  J. Hackman,et al.  A theory of team coaching , 2005, IEEE Engineering Management Review.

[17]  H. Cooper,et al.  A meta-analysis of the effectiveness of intelligent tutoring systems on college students' academic learning , 2014 .

[18]  H. Cooper,et al.  A meta-analysis of the effectiveness of intelligent tutoring systems on K–12 students’ mathematical learning. , 2013 .

[19]  Natalie A. Wright,et al.  Communication in Virtual Teams: The Role of Emotional Intelligence , 2012 .

[20]  R. Coe,et al.  It's the Effect Size, Stupid What effect size is and why it is important , 2012 .

[21]  K. VanLehn.  The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems , 2011 .

[22]  Michael D. Robinson,et al.  Measures of emotion: A review , 2009, Cognition & emotion.

[23]  Melissa Castine,et al.  A natural language intelligent tutoring system for training pathologists: implementation and evaluation , 2008, Advances in health sciences education : theory and practice.

[24]  Vincent Aleven,et al.  The Cognitive Tutor Authoring Tools (CTAT): Preliminary Evaluation of Efficiency Gains , 2006, Intelligent Tutoring Systems.

[25]  Luigi Proserpio,et al.  TEAM MEMBER PROXIMITY AND TEAMWORK IN INNOVATIVE PROJECTS. , 2004 .

[26]  D. Krathwohl.  A Revision of Bloom's Taxonomy: An Overview , 2002 .

[27]  Amy Soller,et al.  Supporting Social Interaction in an Intelligent Collaborative Learning System , 2001 .

[28]  Van Berio.  Team Training vs. Team Building and Cooperative Learning: Defining the Field of Research (Team training vs team building en cooperatief leren: afbakening van het onderzoeksterrein). , 1997 .

[29]  A. Mehrabian.  Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in Temperament , 1996 .

[30]  Thomas G. Dietterich.  What is machine learning? , 2020, Archives of Disease in Childhood.

[31]  S. Planalp.  Communicating emotion in everyday life: Cues, channels, and processes , 1996 .

[32]  Joseph Psotka,et al.  Intelligent tutoring systems : lessons learned , 1988 .