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Intelligent Tutoring Systems Conference (ITS) 2018

Montreal, Quebec, Canada

Industry Track Proceedings

Included herein are the industry track proceedings for the ITS 2018 Conference held in Montreal, Quebec, Canada. The industry track is composed of two workshops held on Tuesday, 12 June 2018 at the Uni-

versity of Quebec at Montreal (UQAM). The two workshops are:

W7 – ITS Applications

W8 - Standards for Adaptive Instructional Systems

Industry Track Chair:

Robert A. Sottilare, Ph.D.

US Army Research Laboratory

Copyright © 2018 for all papers contained in these proceedings are held by its authors.

Copying permitted for private and academic purposes.

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Preface

First, I would like to thank all of the authors, speakers, and workshop committee mem- bers who contributed to a very successful industry track. The two workshops that made up the ITS Conference industry track were conducted on 12 June 2018 at the University of Quebec at Montreal (UQAM). Workshop 7 was focused on tools and methods used to author, distribute, manage, and experimentally evaluate Intelligent Tutoring Systems (ITSs) and their component technologies in support of adaptive instruction. Adaptive instruction uses computers and AI to tailor training and educational experiences to the goals, learning needs, and preferences of each individual learner and team of learners.

The ITS Applications Workshop (Workshop 7) was proposed to engage ITS users, de- velopers, and collaborators in a discussion of their applications, tools, methods, and general experiences with ITSs.

Workshop 8 was focused on exploring opportunities for standards for a class of tech- nologies known as Adaptive Instructional Systems (AISs). Adaptive instruction uses computers and AI to tailor training and educational experiences to the goals, learning needs, and preferences of each individual learner and team of learners. In December 2017, the IEEE Learning Technologies Standards Committee (LTSC) approved the for- mation of a study group to examine the feasibility and efficacy of standards for AISs.

This workshop (along with workshops at other conferences) were proposed to expose the broader ITS community to recent activities and plans, and solicit input on low hang- ing fruit (near-term opportunities) to develop AIS standards. In June 2018, the IEEE approved the formation of a working group to begin the task of forming AIS standards.

If you have interest in participating in IEEE Project 2247, please sign up through the Center for Adaptive Instructional Sciences (CAIS) at instructionalsciences.org.

June 2018 Robert Sottilare

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Table of Contents

Workshop 7 – Intelligent Tutoring System Applications 1

Adaptive Learning Capability: User-Centered Learning at the Next Level 3 Barbara Buck, Matt Genova, Brandt Dargue & Elizabeth Biddle

Developing a Large-scale Feedback System to Train Dialogue-based Tutors 11 using Student Annotations

Cassius D'Helon, Vinay Kasireddy, Nirmal Mukhi & Jae-Wook Ahn

Technology for Revolutionary authoring of Adaptive Intelligent Tutors 19 (TRAIT)

Perakath Benjamin, Kumar Akella, & Andrew Stephenson

An Individualized Approach for Realtime Sensor-based Affective Modeling 29 with Intelligent Tutoring Systems

Keith Brawner & Jon Rowe

The Development of a Web Application for Assessment by Tests Generated 37 using genetic-based algorithms

Doru Anastasiu Popescu, Victor Tița & Nicolae Bold

Workshop 8 – Standards for Adaptive Instructional Systems (AISs) 47

Exploring the Opportunities and Benefits of Standards for Adaptive 49 Instructional Systems

Robert Sottilare, Avron Barr, Robby Robson, Xiangen Hu & Arthur Graesser

Component Interaction within the Generalized Intelligent Framework for 55 Tutoring (GIFT) as a Model for Adaptive Instructional System Standards

Robert Sottilare & Keith Brawner

Domain Models, Student Models, and Assessment Methods: Three Areas in 63 Need of Standards for Adaptive Instruction

Daniel McCoy

Proposed Standard for Metadata Tagging with Pedagogical Identifiers 73 Jeanine A. DeFalco

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