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 Conference Program
 Daily Schedule
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Date
Time
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6/26
Monday
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6/27
Tuesday
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6/28
Wednesday
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6/29
Thursday
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6/30
Friday
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08:00-08:30
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Registration
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Registration
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Registration
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Registration
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Registration
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08:30-09:30
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Workshops
Tutorial Program
Student Track Program
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Workshops
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Keynote Speech
Ulrich Hoppe
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Keynote Speech
Yam San Chee
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Keynote Speech
Kinshuk
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09:30-10:00
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Coffee Break
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Coffee Break
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Coffee Break
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Coffee Break
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Coffee Break
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10:00-12:00
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Workshops
Tutorial Program
Student Track Program
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Workshops
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Paper Sessions
W1a,W1b,W1c,W1d
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Paper Sessions
Ta, Tb, Tc, Td
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Paper Sessions
F1a,F1b,F1c,F1d
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12:00-13:30
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Lunch on own
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Lunch on own
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Lunch
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Social Events:
A: School visit and National
Palace Museum tour
B: Taipei City tour
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Lunch
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13:30-14:30
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Workshops
Tutorial Program
Student Track Program
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Workshops
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Paper Sessions
W2a,W2b,W2c
(Panel: ITS Research in Asia)
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Paper Sessions
F2a,F2b,F2c
(Panel: ITS Scales Up)
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14:30-15:30
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Keynote Speech
Jim Greer
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Keynote Speech
Helen Pain
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15:30-16:00
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Coffee Break
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Coffee Break
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Coffee Break
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Social Cultural Program
& Closing Ceremony
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16:00-17:30
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Workshops
Tutorial Program
Student Track Program
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Opening Ceremony
2 Keynote Speeches
Ovid J.L. Tzeng
Rosalind Picard
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Paper Sessions
W3a,W3b,W3c
(Panel: Intelligent support for mobile and
ubiquitous learning environments)
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17:30-18:30
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18:30-20:00
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Reception &
Poster Session
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18:30-21:30
Banquet
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Keynote Speech
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Time
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Ovid J.L. Tzeng
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Tuesday, 6/27 16:30-17:30
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Rosalind Picard
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Tuesday, 6/27 17:30-18:30
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Ulrich Hoppe
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Wednesday, 6/28 8:30-9:30
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Jim Greer
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Wednesday, 6/28 14:30-15:30
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Yam San Chee
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Thursday, 6/29 8:30-9:30
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Kinshuk
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Friday, 6/30 8:30-9:30
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Helen Pain
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Friday, 6/30 14:30-15:30
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 Schedule of Paper Sessions
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W1a
Assessment
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W1b
Learner Models
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W1c
Motivation
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W1d
Feedback
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Automated Expert Modeling for Automated Student Evaluation
Robert G. Abbott
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Automatic Recognition of Learner Groups in Exploratory Learning Environments
Saleema Amershi, Cristina Conati
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Raising Confidence Levels Using Motivational Contingency Design
Techniques
Declan Kelly, Stephan Weibelzahl
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Supporting Tutorial Feedback to Student Help Requests and Errors in Symbolic Differentiation
Claus Zinn
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Multicriteria Automatic Essay Assessor Generation by Using TOPSIS Model and Genetic Algorithm
Shu-ling Cheng, Hae-Ching Chang
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20000 Inspections of a Domain-Independent Open Learner Model with Individual and Comparison Views
Susan Bull, Andrew Mabbott
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Motivating the Learner: An Empirical Evaluation
Genaro Rebolledo-Mendez, Benedict du Boulay, Rosemary Luckin
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The Role of Feedback in Preparation for Future Learning: A Case Study in Learning by Teaching Environments
Jason Tan, Gautam Biswas
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Better Student Assessing by Finding Difficulty Factors in a Fully Automated Comprehension Measure
Brooke Soden Hensler, Joseph Beck
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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
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Approximate Modelling of the Multi-dimensional Learner
Rafael Morales, Nicolas van Labeke, Paul Brna
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Predicting State Test Scores Better with Intelligent Tutoring Systems: Developing Metrics to Measure Assistance Required
Mingyu Feng, Neil T. Heffernan, Kenneth R. Koedinger
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Improving Intelligent Tutoring Systems: Using Expectation
Maximization to Learn Student Skill Levels
Kimberly Ferguson, Ivon Arroyo, Sridhar Mahadevan, Beverly Woolf, Andy Barto
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Diagnosing Self-efficacy in Intelligent Tutoring Systems: An Empirical Study
Scott W. McQuiggan, James C. Lester
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W2a
Gaming Behavior
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W2b
Cognitive Models
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W2c
Tutorial Dialogue and Narrative
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Detection and Analysis of Off-Task Gaming Behavior in Intelligent Tutoring Systems
Jason A. Walonoski, Neil T. Heffernan
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How “Consciousness” Allows a Cognitive Tutoring Agent Make Good Diagnosis During Astronauts’ Training
Daniel Dubois, Roger Nkambou, Patrick Hohmeyer
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Evaluating the Effectiveness of Tutorial Dialogue Instruction in an Exploratory Learning Context
Rohit Kumar, Carolyn Rose, Vincent Aleven, Ana Iglesias, Allen Robinson
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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
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Learning Factors Analysis – A General Method for Cognitive Model Evaluation and Improvement
Hao Cen, Kenneth Koedinger, Brian Junker
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Narrative-Centered Tutorial Planning for Inquiry-Based Learning Environments
Bradford W. Mott, James C. Lester
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W3a
Natural Language Techniques for Intelligent Tutoring Systems
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W3b
eLearning and Web-Based Intelligent Tutoring Systems
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W3c
Case-Based and Analogical Reasoning, et al.
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Using Instant Messaging to Provide an Intelligent Learning Environment
Chun-Hung Lu, Guey-Fa Chiou, Min-Yuh Day, Chorng-Shyong Ong, Wen-Lian Hsu
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Towards a Pattern Language for Intelligent Teaching and Training Systems
Andreas Harrer, Alke Martens
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Evaluation of a System That Generates Word Problems Through Interactions with a User
Kazuaki Kojima, Kazuhisa Miwa
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ArikIturri: An Automatic Question Generator Based on Corpora and NLP Techniques
Itziar Aldabe, Maddalen Lopez de Lacalle, Montse Maritxalar, Edurne Martinez, Larraitz Uria
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Semantic Web Technologies Applied to Interoperability on an Educational Portal
Elder Rizzon Santos, Elisa Boff, Rosa Maria Vicari
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Conceptual Change Modeling Using Dynamic Bayesian Network
Choo-Yee Ting, Yen-Kuan Chong
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Observing Lemmatization Effect in LSA Coherence and Comprehension Grading of Learner Summaries
Iraide Zipitria, Ana Arruarte, Jon Ander Elorriaga
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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
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Coaching Within a Domain Independent Inquiry Environment
Toby Dragon, Beverly Park Woolf, David Marshall, Tom Murray
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Ta
Bayesian Reasoning and Decision-Theoretic Approaches
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Tb
eLearning and Web-Based Intelligent Tutoring Systems
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Tc
Collaborative Learning
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Td
Learner Models
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A Bayesian Network Approach for Modeling the Influence of Contextual Variables on Scientific Problem Solving
Ronald H. Stevens, Vandana Thadani
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From Black-Box Learning Objects to Glass-Box Learning Objects
Philippe Fournier-Viger, Mehdi Najjar, Andre Mayers, Roger Nkambou
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A Constraint-Based Collaborative Environment for Learning UML Class Diagrams
Nilufar Baghaei, Antonija Mitrovic
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The Potential for Chatbots in Negotiated Learner Modelling:
A Wizard-of-Oz Study
Alice Kerly, Susan Bull
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A Decision-Theoretic Approach to Scientific Inquiry Exploratory
Learning Environment
Choo-Yee Ting, M. Reza Beik Zadeh, Yen-Kuan Chong
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Adaptation in Educational Hypermedia Based on the Classification of the User Profile
Gisele Trentin da Silva, Marta Costa Rosatelli
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A Collaborative Learning Design Environment to Integrate Practice and Learning Based on Collaborative Space Ontology and Patterns
Masataka Takeuchi, Yusuke Hayashi, Mitsuru Ikeda, Riichiro Mizoguchi
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Using Multiple Intelligence Informed Resources in an Adaptive System
Declan Kelly, Brendan Tangney
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A Bayes Net Toolkit for Student Modeling in Intelligent Tutoring
Systems
Kai-min Chang, Joseph Beck, Jack Mostow, Albert Corbett
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Combining ITS and eLearning Technologies: Opportunities
and Challenges
Christopher Brooks, Jim Greer, Erica Melis, Carsten Ullrich
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The Big Five and Visualisations of Team Work Activity
Judy Kay, Nicolas Maisonneuve, Kalina Yacef, Peter Reimann
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Estimating Student Proficiency Using an Item Response Theory Model
Jeff Johns, Sridhar Mahadevan, Beverly Woolf
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A Comparison of Decision-Theoretic, Fixed-Policy and Random
Tutorial Action Selection
R. Charles Murray, Kurt VanLehn
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From Learner Information Packages to Student Models:
Which Continuum?
Lahcen Oubahssi, Monique Grandbastien
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Cognitive Tutors as Research Platforms: Extending an Established Tutoring System for Collaborative and Metacognitive Experimentation
Erin Walker, Kenneth Koedinger, Bruce McLaren, Nikol Rummel
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Student Modeling with Atomic Bayesian Networks
Fang Wei, Glenn D. Blank
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F1a
Collaborative Learning
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F1b
Learner Models
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F1c
Scaffolding
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F1d
Authoring Tools, et al.
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Forming Heterogeneous Groups for Intelligent Collaborative Learning Systems with Ant Colony Optimization
Sabine Graf, Rahel Bekele
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Student Preferences for Editing, Persuading, and Negotiating the Open Learner Model
Andrew Mabbott, Susan Bull
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Adaptable Scaffolding – A Fuzzy Approach
Selvarajah Mohanarajah, Ray Kemp, Elizabeth Kemp
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Authoring Constraint-Based Tutors in ASPIRE
Antonija Mitrovic, Pramuditha Suraweera, Brent Martin, Konstantin Zakharov, Nancy Milik, Jay Holland
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Toward Legal Argument Instruction with Graph Grammars and Collaborative Filtering Techniques
Niels Pinkwart, Vincent Aleven, Kevin Ashley, Collin Lynch
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A Ubiquitous Agent for Unrestricted Vocabulary Learning in Noisy Digital Environments
David Wible, Chin-Hwa Kuo, Meng-Chang Chen, Nai-Lung Tsao, Chong-Fu Hong
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P.A.C.T. – Scaffolding Best Practice in Home Tutoring
Orla Lahart, Declan Kelly, Brendan Tangney
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A Teaching Strategies Engine Using Translation from SWRL to Jess
Eric Wang, Yong Se Kim
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SPRITS: Secure Pedagogical Resources in Intelligent Tutoring Systems
Esma Aımeur, Flavien Serge Mani Onana, Anita Saleman
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Automatic Calculation of Students’ Conceptions in Elementary Algebra from Aplusix Log Files
Jean-Francois Nicaud, Hamid Chaachoua, Marilena Bittar
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Scaffolding Problem Solving with Annotated, Worked-Out Examples to Promote Deep Learning
Michael A. Ringenberg, Kurt VanLehn
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Generalizing Detection of Gaming the System Across a Tutoring Curriculum
Ryan S.J.d. Baker, Albert T. Corbett, Kenneth R. Koedinger,
Ido Roll
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The Pyramid Collaborative Filtering Method: Toward an Efficient E-Course
Sofiane A. Kiared, Mohammed A. Razek, Claude Frasson
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Comparison of Machine Learning Methods for Intelligent Tutoring
Systems
Wilhelmiina Hamalainen, Mikko Vinni
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Scaffolding vs. Hints in the Assistment System
Leena Razzaq, Neil T. Heffernan
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The Help Tutor: Does Metacognitive Feedback Improve Students’ Help-Seeking Actions, Skills and Learning?
Ido Roll, Vincent Aleven, Bruce M. McLaren, Eunjeong Ryu, Ryan S.J.d. Baker, Kenneth R. Koedinger
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F2a
Simulation
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F2b
Error Detection and Handling
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F2c
Authoring Tools, et al.
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An Approach to Intelligent Training on a Robotic Simulator Using an Innovative Path-Planner
Roger Nkambou, Khaled Belghith, Froduald Kabanza
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A Plan Recognition Process, Based on a Task Model, for Detecting Learner’s Erroneous Actions
Naıma El-Kechaı, Christophe Despres
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The Cognitive Tutor Authoring Tools (CTAT): Preliminary Evaluation of Efficiency Gains
Vincent Aleven, Bruce M. McLaren, Jonathan Sewall, Kenneth R. Koedinger
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Robust Simulator: A Method of Simulating Learners’ Erroneous Equations for Making Error-Based Simulation
Tomoya Horiguchi, Tsukasa Hirashima
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Handling Errors in Mathematical Formulas
Helmut Horacek, Magdalena Wolska
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Time in the Adaptive Tutoring Process Model
Alke Martens
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