10:00 – 17:30 Room R3-103, Research Center Building 2 - R3, 1st Floor
W1b: Learner Models (10:00 – 12:00)
Chair: Tanja Mitrovic
Automatic Recognition of Learner Groups in Exploratory Learning Environments
Saleema Amershi & Cristina Conati
20000 Inspections of a Domain-Independent Open Learner Model withIndividual and Comparison Views
Susan Bull, Andrew Mabbott
Learning Styles Diagnosis Based on User Interface Behaviors for the Customization of Learning Interfaces in an Intelligent Tutoring System
Hyun Jin Cha, Yong Se Kim, Seon Hee Park, Tae Bok Yoon,Young Mo Jung & Jee-Hyong Lee
Improving Intelligent Tutoring Systems: Using Expectation Maximization to Learn Student Skill Levels
Kimberly Ferguson, Ivon Arroyo, Sridhar Mahadevan, Beverly Woolf & Andy Barto
W2c: Tutorial Dialogue and Narrative (13:30 – 14:30)
Chair: Helen Pain
Evaluating the Effectiveness of Tutorial Dialogue Instruction in an Exploratory Learning Context
Rohit Kumar, Carolyn Rose, Vincent Aleven, Ana Iglesias & Allen Robinson
Narrative-Centered Tutorial Planning for Inquiry-Based Learning Environments
Bradford W. Mott & James C. Lester
W3b: eLearning and Web-Based Intelligent Tutoring Systems (16:00 – 17:30)
Chair: Erica Mellis
Towards a Pattern Language for Intelligent Teaching and Training Systems
Andreas Harrer & Alke Martens
Semantic Web Technologies Applied to Interoperability on an Educational Portal
Elder Rizzon Santos, Elisa Boff & Rosa Maria Vicari
Studying the Effects of Personalized Language and Worked Examples in the Context of a Web-Based Intelligent Tutor
Bruce M. McLaren, Sung-Joo Lim, France Gagnon, David Yaron & Kenneth R. Koedinger
10:00 – 17:30 Room A102, Engineering Building 5, 1st Floor
W1c: Motivation (10:00 – 12:00)
Chair: Helen Pain
Raising Confidence Levels Using Motivational Contingency Design Techniques
Declan Kelly & Stephan Weibelzahl
Motivating the Learner: An Empirical Evaluation
Genaro Rebolledo-Mendez, Benedict du Boulay & Rosemary Luckin
Approximate Modelling of the Multi-dimensional Learner
Rafael Morales, Nicolas van Labeke & Paul Brna
Diagnosing Self-efficacy in Intelligent Tutoring Systems: An Empirical Study
Scott W. McQuiggan & James C. Lester
W2b: Cognitive Models (13:30 – 14:30)
How “Consciousness” Allows a Cognitive Tutoring Agent Make Good Diagnosis During Astronauts’ Training
Daniel Dubois, Roger Nkambou & Patrick Hohmeyer
Learning Factors Analysis – A General Method for Cognitive Model Evaluation and Improvement
Hao Cen, Kenneth Koedinger & Brian Junker
W3a: Natural Language Techniques for Intelligent TutoringSystems (16:00 – 17:30)
Chair: Riichiro Mizoguchi
Using Instant Messaging to Provide an Intelligent Learning Environment
Chun-Hung Lu, Guey-Fa Chiou, Min-Yuh Day, Chorng-Shyong Ong & Wen-Lian Hsu
ArikIturri: An Automatic Question Generator Based on Corpora and NLP Techniques
Itziar Aldabe, Maddalen Lopez de Lacalle, Montse Maritxalar, Edurne Martinez & Larraitz Uria
Observing Lemmatization Effect in LSA Coherence and Comprehension Grading of Learner Summaries
Iraide Zipitria, Ana Arruarte & Jon Ander Elorriaga
10:00 – 12:00 Room A207, Engineering Building 5, 2nd Floor
W1a: Assessment (10:00 – 12:00)
Automated Expert Modeling for Automated Student Evaluation
Robert G. Abbott
Multicriteria Automatic Essay Assessor Generation by Using TOPSIS Model and Genetic Algorithm
Shu-ling Cheng & Hae-Ching Chang
Better Student Assessing by Finding Difficulty Factors in a Fully Automated Comprehension Measure
Brooke Soden Hensler & Joseph Beck
Predicting State Test Scores Better with Intelligent Tutoring Systems: Developing Metrics to Measure Assistance Required
Mingyu Feng, Neil T. Heffernan & Kenneth R. Koedinger
10:00 – 17:30 Room A413, Engineering Building 5, 4th Floor
W1d: Feedback (10:00 – 12:00)
Chair: Ken Koedinger
Supporting Tutorial Feedback to Student Help Requests and Errors in Symbolic Differentiation
Claus Zinn
The Role of Feedback in Preparation for Future Learning: A Case Study in Learning by Teaching Environments
Jason Tan & Gautam Biswas
W2a: Gaming Behavior (13:30 – 14:30)
Chair: Yam San Chee
Detection and Analysis of Off-Task Gaming Behavior in Intelligent Tutoring Systems
Jason A. Walonoski & Neil T. Heffernan
Adapting to When Students Game an Intelligent Tutoring System
Ryan S.J.d. Baker, Albert T. Corbett, Kenneth R. Koedinger,Shelley Evenson, Ido Roll, Angela Z. Wagner, Meghan Naim, Jay Raspat, Daniel J. Baker & Joseph E. Beck
W3c: Case-Based and Analogical Reasoning, et al. (16:00 – 17:30)
Chair: Neil Heffernan
Evaluation of a System That Generates Word Problems Through Interactions with a User
Kazuaki Kojima & Kazuhisa Miwa
Conceptual Change Modeling Using Dynamic Bayesian Network
Choo-Yee Ting & Yen-Kuan Chong
Coaching Within a Domain Independent Inquiry Environment
Toby Dragon, Beverly Park Woolf, David Marshall & Tom Murray
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