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Intelligent Tutoring Systems for Ill-Defined Domains - Philippe ...

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v. Introduction<br />

Kevin D. Ashley.<br />

Assessment and Feedback in <strong>Ill</strong>-<strong>Defined</strong> <strong>Domains</strong> iv<br />

Table of Contents.<br />

1. Two Approaches <strong>for</strong> Providing Adaptive Support <strong>for</strong> Discussion<br />

in an <strong>Ill</strong>-<strong>Defined</strong> Domain<br />

Erin Walker, Amy Ogan, Vincent Aleven, Chris Jones<br />

13. Interactive Narrative and <strong>Intelligent</strong> <strong>Tutoring</strong> <strong>for</strong> Ethics Domain<br />

Rania Hodhod and Daniel Kudenko<br />

22. Selection Strategy to Improve Cloze Question Quality<br />

Juan Pino, Michael Heilman, and Maxine Eskenaz<br />

35. Generating and Evaluating Object-Oriented Designs <strong>for</strong> Instructors<br />

and Novice Students<br />

Sally Moritz and Glenn Blank<br />

46. A Sequential Pattern Mining Algorithm <strong>for</strong> Extracting Partial<br />

Problem Spaces from Logged User Interactions<br />

<strong>Philippe</strong> Fournier-Vige1, Roger Nkambou and Engelbert Mephu Nguifo<br />

56. What do argument diagrams tell us about students’ aptitude or experience?<br />

A statistical analysis in an ill-defined domain<br />

Collin Lynch, Niels Pinkwart, Kevin Ashley and Vincent Aleven<br />

68. Using Expert Decision Maps to Promote Reflection and Self-Assessment in<br />

Medical Case-Based Instruction.<br />

Geneviève Gauthier, Laura Naismith, Susanne P. Lajoie,<br />

and Jeffrey Wiseman

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