AFFECT

Sensor-Free Affect Detection for a Simulation-Based Science Inquiry Learning Environment


Luc Paquette, Ryan S. J. D. Baker, Michael A. Sao Pedro, Janice D. Gobert, Lisa Rossi, Adam Nakama et al.

Towards Automatically Detecting Whether Student Is in Flow


Po-Ming Lee, Sin-Yu Jheng, Tzu-Chien Hsiao

To Quit or Not to Quit: Predicting Future Behavioral Disengagement from Reading Patterns


Caitlin Mills, Nigel Bosch, Arthur Graesser, Sidney D’Mello

Predicting Affect from Gaze Data during Interaction with an Intelligent Tutoring System


Natasha Jaques, Cristina Conati, Jason M. Harley, Roger Azevedo

It’s Written on Your Face: Detecting Affective States from Facial Expressions while Learning Computer Programming


Nigel Bosch, Yuxuan Chen, Sidney D’Mello

Impact of Agent Role on Confusion Induction and Learning


Blair Lehman, Arthur Graesser

MULTIMODALITY AND METACOGNITION

Automated Physiological-Based Detection of Mind Wandering during Learning

Nathaniel Blanchard, Robert Bixler, Tera Joyce, Sidney D’Mello

Knowledge Construction with Pseudo-haptics


Akihiro Kashihara, Go Shiota

A Tool for Integrating Log and Video Data for Exploratory Analysis and Model Generation


Victor Girotto, Elissa Thomas, Cecil Lozano, Kasia Muldner, Winslow Burleson, Erin Walker

Virtual Environment for Monitoring Emotional Behaviour in Driving


Claude Frasson, Pierre Olivier Brosseau, Thi Hong Dung Tran

The Affective Meta-Tutoring Project: Lessons Learned


Kurt VanLehn, Winslow Burleson, Sylvie Girard, Maria ElenaChavez-Echeagaray, Javier Gonzalez-Sanchez, Yoalli Hidalgo-Pontet et al.

Identifying Learning Conditions that Minimize Mind Wandering by Modeling Individual Attributes


Kristopher Kopp, Robert Bixler, Sidney D’Mello

Investigating the Effect of Meta-cognitive Scaffolding for Learning by Teaching


Noboru Matsuda, Cassondra L. Griger, Nikolaos Barbalios, Gabriel J. Stylianides, William W. Cohen, Kenneth R. Koedinger

COLLABORATIVE LEARNING

Togetherness: Multiple Pedagogical Conversational Agents as Companions in Collaborative Learning


Yugo Hayashi

What Works: Creating Adaptive and Intelligent Systems for Collaborative Learning Support


Nia M. Dowell, Whitney L. Cade, Yla Tausczik, James Pennebaker, Arthur C. Graesser

Using an Intelligent Tutoring System to Support Collaborative as well as Individual Learning


Jennifer K. Olsen, Daniel M. Belenky, Vincent Aleven, Nikol Rummel

DATA MINING AND STUDENT BEHAVIOR

Bayesian Student Modeling Improved by Diagnostic Items


Yang Chen, Pierre-Henri Wuillemin, Jean-Marc Labat

Learning Bayesian Knowledge Tracing Parameters with a Knowledge Heuristic and Empirical Probabilities


William J. Hawkins, Neil T. Heffernan, Ryan S. J. D. Baker

Investigate Performance of Expected Maximization on the Knowledge Tracing Model


Junjie Gu, Hang Cai, Joseph E. Beck

Understanding Wheel Spinning in the Context of Affective Factors


Joseph Beck, Ma. Mercedes T. Rodrigo

The Usefulness of Log Based Clustering in a Complex Simulation Environment


Samad Kardan, Ido Roll, Cristina Conati

Survival Analysis on Duration Data in Intelligent Tutors


Michael Eagle, Tiffany Barnes

Beyond Knowledge Tracing: Modeling Skill Topologies with Bayesian Networks


Tanja Käser, Severin Klingler, Alexander Gerhard Schwing, Markus Gross

DIALOGUE AND DISCOURSE

Identifying Effective Moves in Tutoring: On the Refinement of Dialogue Act Annotation Schemes


Alexandria Katarina Vail, Kristy Elizabeth Boyer

When Is Tutorial Dialogue More Effective Than Step-Based Tutoring?


Min Chi, Pamela Jordan, Kurt VanLehn

Predicting Student Learning from Conversational Cues


David Adamson, Akash Bharadwaj, Ashudeep Singh, Colin Ashe, David Yaron, Carolyn P. Rosé

Validating the Automated Assessment of Participation and of Collaboration in Chat Conversations


Mihai Dascalu, Ştefan Trausan-Matu, Philippe Dessus

Context-Based Speech Act Classification in Intelligent Tutoring Systems


Borhan Samei, Haiying Li, Fazel Keshtkar, Vasile Rus, Arthur C. Graesser

Macro-adaptation in Conversational Intelligent Tutoring Matters


Vasile Rus, Dan Stefanescu, William Baggett, Nobal Niraula, Don Franceschetti, Arthur C. Graesser

An Evaluation of Self-explanation in a Programming Tutor


Amruth N. Kumar

Identifying Thesis and Conclusion Statements in Student Essays to Scaffold Peer Review


Mohammad Hassan Falakmasir, Kevin D. Ashley, Christian D. Schunn, Diane J. Litman

Can Diagrams Predict Essay Grades?


Collin F. Lynch, Kevin D. Ashley, Min Chi

Toward Automatic Inference of Causal Structure in Student Essays


Peter Hastings, Simon Hughes, Anne Britt, Dylan Blaum, Patty Wallace

Classroom Evaluation of a Scaffolding Intervention for Improving Peer Review Localization


Huy Nguyen, Wenting Xiong, Diane Litman

Comprehension SEEDING: Comprehension through Self Explanation, Enhanced Discussion, and INquiry Generation


Frank Paiva, James Glenn, Karen Mazidi, Robert Talbot, Ruth Wylie, Michelene T. H. Chi et al.

GENERATING HINTS, SCAFFOLDS AND QUESTIONS

Pedagogical Evaluation of Automatically Generated Questions


Karen Mazidi, Rodney D. Nielsen

Content-Dependent Question Generation for History Learning in Semantic Open Learning Space


Corentin Jouault, Kazuhisa Seta

Data-Driven Program Synthesis for Hint Generation in Programming Tutors


Timotej Lazar, Ivan Bratko

Building Games to Learn from Their Players: Generating Hints in a Serious Game


Andrew Hicks, Barry Peddycord III, Tiffany Barnes

Evaluation of Guided-Planning and Assisted-Coding with Task Relevant Dynamic Hinting


Wei Jin, Albert Corbett, Will Lloyd, Lewis Baumstark, Christine Rolka

Automating Hint Generation with Solution Space Path Construction


Kelly Rivers, Kenneth R. Koedinger

How to Select an Example? A Comparison of Selection Strategies in Example-Based Learning


Sebastian Gross, Bassam Mokbel, Barbara Hammer, Niels Pinkwart

Students’ Adaptation and Transfer of Strategies across Levels of Scaffolding in an Exploratory Environment


Ido Roll, Nikki Yee, Adriana Briseno

Exploring the Assistance Dilemma: Comparing Instructional Support in Examples and Problems


Bruce M. McLaren, Tamara van Gog, Craig Ganoe, David Yaron, Michael Karabinos

A Systematic Approach for Providing Personalized Pedagogical Recommendations Based on Educational Data Mining

Ranilson Oscar Araujo Paiva, Ig Ibert Bittencourt Santa Pinto, Alan Pedro da Silva, Seiji Isotani, Patricia Jaques

GAME-BASED LEARNING AND SIMULATION

ToneWars: Connecting Language Learners and Native Speakers through Collaborative Mobile Games


Andrew Head, Yi Xu, Jingtao Wang

Gamification of Joint Student/System Control over Problem Selection in a Linear Equation Tutor


Yanjin Long, Vincent Aleven

Replay Penalties in Cognitive Games


Matthew W. Easterday, I. Yelee Jo

Use of a Cognitive Simulator to Enhance Students’ Mental Simulation Activities


Kazuhisa Miwa, Jyunya Morita, Hitoshi Terai, Nana Kanzaki, Kazuaki Kojima, Ryuichi Nakaike et al.

Towards an Ontology for Gamifying Collaborative Learning Scenarios


Geiser Chalco Challco, Dilvan Moreira, Riichiro Mizoguchi, Seiji Isotani

Serious Games Go Informal: A Museum-Centric Perspective on Intelligent Game-Based Learning

Jonathan P. Rowe, Eleni V. Lobene, Bradford W. Mott, James C. Lester

GRAPHICAL REPRESENTATIONS AND LEARNING

Animated Presentation of Pictorial and Concept Map Media in Biology


Whitney L. Cade, Jaclyn K. Maass, Patrick Hays, Andrew M. Olney

Multi-methods Approach for Domain-Specific Grounding: An ITS for Connection Making in Chemistry


Martina A. Rau, Amanda L. Evenstone

Modeling Student Benefit from Illustrations and Graphs


Michael Lipschultz, Diane Litman

Towards Assessing and Grading Learner Created Conceptual Models


Bert Bredeweg, Christina Th. Nicolaou, Jochem Liem, Constantinos P. Constantinou

StaticsTutor: Free Body Diagram Tutor for Problem Framing


Enruo Guo, Stephen Gilbert, John Jackman, Gloria Starns, Mathew Hagge, LeAnn Faidley et al.

STUDENT STRATEGIES AND PROBLEM SOLVING

Are Automatically Identified Reading Strategies Reliable Predictors of Comprehension?


Mihai Dascalu, Philippe Dessus, Maryse Bianco, Stefan Trausan-Matu

Modeling Strategy Use in an Intelligent Tutoring System: Implications for Strategic Flexibility


Caitlin Tenison, Christopher J. MacLellan

Assessing Student Performance in a Computational-Thinking Based Science Learning Environment


Satabdi Basu, John S. Kinnebrew, Gautam Biswas

A Student Model for Teaching Natural Deduction Based on a Prover That Mimics Student Reasoning


João Carlos Gluz, Fabiane Penteado, Marcel Mossmann, Lucas Gomes, Rosa Vicari

The Effect of Automatic Reassessment and Relearning on Assessing Student Long-Term Knowledge in Mathematics


Yutao Wang, Neil T. Heffernan

Predicting Student Performance in Solving Parameterized Exercises


Shaghayegh Sahebi, Yun Huang, Peter Brusilovsky

A Study of Exploring Different Schedules of Spacing and Retrieval Interval on Mathematics Skills in ITS Environment


Xiaolu Xiong, Joseph E. Beck

SCALING ITS AND ASSESSMENT

Towards Providing Notifications to Enhance Teacher’s Awareness in the Classroom


Roberto Martinez-Maldonado, Andrew Clayphan, Kalina Yacef, Judy Kay

Survey Sidekick: Structuring Scientifically Sound Surveys


I-Han Hsiao, Shuguang Han, Manav Malhotra, Hui Soo Chae, Gary Natriello

Authoring Tools for Collaborative Intelligent Tutoring System Environments


Jennifer K. Olsen, Daniel M. Belenky, Vincent Aleven, Nikol Rummel, Jonathan Sewall, Michael Ringenberg

A System Architecture for Affective Meta Intelligent Tutoring Systems


Javier Gonzalez-Sanchez, Maria Elena Chavez-Echeagaray, Kurt VanLehn, Winslow Burleson, Sylvie Girard, Yoalli Hidalgo-Pontet et al.

Towards Automatically Building Tutor Models Using Multiple Behavior Demonstrations


Rohit Kumar, Matthew E. Roy, R. Bruce Roberts, John I. Makhoul

Testing Language Independence in the Semiautomatic Construction of Educational Ontologies


Angel Conde, Mikel Larrañaga, Ana Arruarte, Jon A. Elorriaga

Authoring Tutors with SimStudent: An Evaluation of Efficiency and Model Quality


Christopher J. MacLellan, Kenneth R. Koedinger, Noboru Matsuda

Implementation of an Intelligent Tutoring System for Online Homework Support in an Efficacy Trial


Mingyu Feng, Jeremy Roschelle, Neil Heffernan, Janet Fairman, Robert Murphy

An Intelligent LMS Model Based on Intelligent Tutoring Systems


Cecilia Estela Giuffra Palomino, Ricardo Azambuja Silveira, Marina Keiko Nakayama

Designing an Interactive Teaching Tool with ABML Knowledge Refinement Loop


Matej Zapušek, Martin Možina, Ivan Bratko, Jože Rugelj, Matej Guid

Barriers to ITS Adoption: A Systematic Mapping Study


Benjamin D. Nye

Towards Scalable Assessment of Performance-Based Skills: Generalizing a Detector of Systematic Science Inquiry to a Simulation with a Complex Structure


Michael A. Sao Pedro, Janice D. Gobert, Cameron G. Betts

Automatic Scoring of an Analytical Response-To-Text Assessment


Zahra Rahimi, Diane J. Litman, Richard Correnti, Lindsay Clare Matsumura, Elaine Wang, Zahid Kisa