ITS 2006

Conference Program of 26 June

6/26　6/27　6/28 　6/29　6/30

Venue Time	R3-103	A102	A207	A413	A404	A406	A408
08:00 - 16:00	Registration
08:30 - 09:30		Workshop: Teaching with Robots, Agents, and NLP	Workshop: Educational Data Mining Workshop		Student Track	Tutorial: Building Example-Tracing and Model-Tracing Tutors with the Cognitive Tutor Authoring Tools (CTAT)	E-mail Room
09:30 - 10:00	Coffee Break
10:00 - 12:00		Workshop: Teaching with Agents, Robots, and NLP	Workshop: Educational Data Mining Workshop		Student Track 10:00 ︱ 12:30	Tutorial: Building Example-Tracing and Model-Tracing Tutors with the Cognitive Tutor Authoring Tools (CTAT)
12:00 - 13:30	Lunch on own
13:30 - 15:30		Workshop: Teaching with Agents, Robots, and NLP	Workshop: Educational Data Mining Workshop		Student Track	Tutorial: Building Example-Tracing and Model-Tracing Tutors with the Cognitive Tutor Authoring Tools (CTAT)
15:30 - 16:00	Coffee Break
16:00 - 17:30		Workshop: Teaching with Agents, Robots, and NLP	Workshop: Educational Data Mining Workshop			Tutorial: Building Example-Tracing and Model-Tracing Tutors with the Cognitive Tutor Authoring Tools (CTAT)

Workshops

8:30 – 17:30 Room A102, Engineering Building 5, 1^st Floor

Teaching with Robots, Agents, and NLP

Evelyn Lulis & Peter Wiemer-Hastings

8:30 – 17:30 Room A207, Engineering Building 5, 2^nd Floor

Educational Data Mining Workshop

Cecily Heiner, Ryan Baker & Kalina Yacef

Student Track

8:30 – 15:30 Room A404, Engineering Building 5, 4^th Floor

Session 1: (08:30 - 9:30)

Case-based Reasoning System Applied to Semiology and Psychiatric Pathology Learning Process

Janice Inês Deters, Vander Vigolo, Geovani Rodrigo Scolaro, Márcio Duarte, Beppler, Fernando Mendes de Azevedo,

Geder Grohs

Intelligent Environment for Learning Linear Equation Solving Algorithm and its Steps

Marina Issakova

Session 2: (10:00 - 12:30)

Error Diagnosis in Problem Solving Environment Using Action-Object-Input Scheme

Dmitri Lepp

AKT-R4: A Diagnosis Tutor

Andy Aiken, Derek Sleeman

Virtual Programming Partner: A Learning Companion for Introductory Computing

Kristy Elizabeth Boyer

Enhancing Learning through Self-Explanation in Constraint-based Tutors

Amali Weerasinghe

Defining the ill-defined: Modeling Student Behaviour in Making Aspectual Distinctions

Amy Ogan, Rut Wylie & Erin Walker

Session 3: Panel (13:30 - 15:30)

Panelists: Jim Greer, Kinshuk, Helen Pain & Beverly Woolf

Tutorial

8:30 – 17:30 Room A406, Engineering Building 5, 4^th Floor

Building Example-Tracing and Model-Tracing Tutors with the Cognitive Tutor Authoring Tools (CTAT)

Vincent Aleven, Bruce McLaren & Jonathan Sewall

Research Center for Science and Technology for Learning
National Central University