Thursday 28th June

Parallel sessions 1 - 10:20 am - 12:00 pm

Student Model Construction (Logan room)


An Instructional Factors Analysis of an Online Logical Fallacy Tutoring System
Nicholas Diana, John Stamper and Kenneth Koedinger

Opening up an Intelligent Tutoring System Development Environment for Extensible Student Modeling
Kenneth Holstein, Zac Yu, Jonathan Sewall, Octav Popescu, Bruce Mclaren and Vincent Aleven

Conceptual Issues in Mastery Criteria: Differentiating Uncertainty and Degrees of Knowledge
Radek Pelánek

How should knowledge composed of schemas be represented in order to optimize student model accuracy?
Sachin Grover, Jon Wetzel and Kurt Vanlehn

Learning Cognitive Models using Neural Networks
Devendra Singh Chaplot, Christopher MacLellan, Ruslan Salakhutdinov and Kenneth Koedinger

Motivation and Engagement (Elvin room)


Communication at Scale in a MOOC Using Predictive Engagement Analytics
Christopher Vu Le and Zach Pardos

How to Use Simulation in the Design and Evaluation of Learning Environments with Self-Directed Longer-Term Learners
David Edgar Lelei and Gordon McCalla

Testing the Validity and Reliability of Intrinsic Motivation Inventory Subscales within ASSISTments
Korinn Ostrow and Neil Heffernan

Impact of metacognitive scaffolding on a relative effectiveness of learning by teaching and cognitive tutoring
Noboru Matsuda, Vishnu Priya Chandra Sekar and Natalie Wall

Perseverance is crucial for learning. “OK! But can I take a break?”
Annika Silvervarg, Magnus Haake and Agneta Gulz

Social Learning, Games, and Virtual Reality (Nunn room)


Towards Combined Network and Text Analytics of Student Discourse in Online Discussions
Rafael Ferreira, Vitomir Kovanovic, Dragan Gasevic and Vitor Rolim

Automated Pitch Convergence Improves Learning in a Social, Teachable Robot for Middle School Mathematics
Nichola Lubold, Erin Walker, Heather Pon-Barry and Amy Ogan

Reciprocal Content Recommendation for Peer Learning Study Sessions
Boyd Potts, Hassan Khosravi and Carl Reidsema

Providing Automated Real-Time Technical Feedback for Virtual Reality Based Surgical Training: Is the Simpler the Better?
Sudanthi Wijewickrema, Xingjun Ma, Patorn Piromchai, Robert Briggs, James Bailey, Gregor Kennedy and Stephen O’Leary

Student Agency and Game-Based Learning: A Study Comparing Low and High Agency
Huy Nguyen, Erik Harpstead, Yeyu Wang and Bruce McLaren


Parallel sessions 2 - 1:15 pm - 3:00 pm

Assessment and Modeling (Logan room)


Quantifying Classroom Instructor Dynamics with Computer Vision
Nigel Bosch, Caitlin Mills, Jeffrey D. Wammes and Daniel Smilek

Validating Revised Bloom’s Taxonomy using Deep Knowledge Tracing
Amar Lalwani and Sweety Agrawal

Vygotsky meets backpropagation: Alternative neural learning models and the development of higher forms of thought
Ilkka Tuomi

Predicting Question Quality using Recurrent Neural Networks
Stefan Ruseti, Mihai Dascalu, Amy Johnson, Danielle McNamara, Renu Balyan, Kristopher Kopp, Scott Crossley and Stefan Trausan-Matu

Measuring the quality of assessment using question generated from semantic web
Ricardo Conejo, Beatriz Barros and Manuel Bertoa

Collaborative Learning (Elvin room)


Reciprocal Kit-Building of Concept Map to Share Each Other’s Understanding as Preparation for Collaboration
Warunya Wunnasri, Jaruwat Pailai, Yusuke Hayashi and Tsukasa Hirashima

Using Physiological Synchrony as an Indicator of Collaboration Quality, Task Performance and Learning
Yong Dich, Joseph Reilly and Bertrand Schneider

Predicting the Temporal and Social Dynamics of Curiosity in Small Group Learning
Bhargavi Paranjape, Zhen Bai and Justine Cassell

Connecting the Dots towards Collaborative AIED: Linking Group Makeup to Process to Learning
Angela Stewart and Sidney D’Mello

When Optimal Team Formation is a Choice – Self-Selection versus Intelligent Team Formation Strategies in a Large Online Project-Based Course
Sreecharan Sankaranarayanan, Cameron Dashti, Chris Bogart, Xu Wang, Majd Sakr and Carolyn Rose

Feedback, Hints and Adaptation (Nunn room)


Correctness- and Confidence-based Adaptive Feedback of Kit-Build Concept Map with Confidence Tagging
Jaruwat Pailai, Warunya Wunnasri, Yusuke Hayashi and Tsukasa Hirashima

A Data-Driven Method for Helping Teachers Improve Feedback in Computer Programming Automated Tutors
Jessica Mcbroom, Kalina Yacef, Irena Koprinska and James R. Curran

The Impact of Data Quantity and Source on the Quality of Data-driven Hints for Programming
Thomas Price, Rui Zhi, Yihuan Dong, Nicholas Lytle and Tiffany Barnes

A Comparison of Tutoring System Strategies for Recovering from a Failed Attempt to Fade Support
Pamela Jordan, Patricia Albacete and Sandra Katz

Mitigating Knowledge Decay from Instruction with Voluntary Use of an Adaptive Learning System
Andrew J. Hampton, Philip I. Pavlik, Benjamin D. Nye, William R. Swartout, Arthur C. Graesser and Joseph Gunderson


Parallel sessions 3 - 3:20 pm - 5:00 pm

Affect and Gaming (Elvin room)


Engaging with the Scenario: Affect and Facial Patterns from a Scenario-Based Intelligent Tutoring System
Benjamin Nye, Shamya Karumbaiah, Tugba Tokel, Mark G. Core, Giota Stratou, Daniel Auerbach and Kallirroi Georgila

Role of Socio-Cultural Differences in Labeling Students’ Affective States
Eda Okur, Sinem Aslan, Nese Alyuz, Asli Arslan Esme and Ryan Baker

The Influence of Gender, Personality, Cognitive and Affective Student Engagement on Behavioural Engagement in Educational Virtual Worlds
Anupam Makhija, Deborah Richards and Jesse de Haan

Do Preschoolers ‘Game the System’? A Case Study of Children’s Intelligent (Mis)Use of a Teachable Agent Based Play-&-Learn Game in Mathematics
Eva-Maria Ternblad, Magnus Haake, Erik Anderberg and Agneta Gulz

Investigating the Impact of A Meaningful Gamification-Based Intervention on Novice Programmers’ Achievement
Jenilyn Agapito and Ma. Mercedes Rodrigo

Text Analytics (Nunn room)


Balancing Human Efforts and Performance of Student Response Analyzer in Dialog-based Tutors
Tejas Dhamecha, Smit Marvaniya, Swarnadeep Saha, Renuka Sindhgatta and Bikram Sengupta

Students’ Academic Language Use when Constructing Scientific Explanations in an Intelligent Tutoring System
Haiying Li, Janice Gobert, Rachel Dickler and Natali Morad

Bring it on! Challenges Encountered while Building a Comprehensive Tutoring System using ReaderBench
Marilena Panaite, Mihai Dascalu, Amy Johnson, Renu Balyan, Jianmin Dai, Danielle McNamara and Stefan Trausan-Matu

Active Learning for Improving Machine Learning of Student Explanatory Essays
Peter Hastings, Simon Hughes and M. Anne Britt

Sentence Level or Token Level Features for Automatic Short Answer Grading?: Use Both
Swarnadeep Saha, Tejas Dhamecha, Smit Marvaniya, Renuka Sindhgatta and Bikram Sengupta

PANEL (Logan room)


Bridging human-machine learning and intelligence: from qualitative to computational


Friday 29th June

Best Papers Session - 3:30 pm - 5:30 pm

Best Full Papers and Full Student Papers Nominees (Logan room)


[Best Full (and Student) Research Paper Nominee] Student Learning Benefits of a Mixed-reality Teacher Awareness Tool in AI-enhanced Classrooms
Kenneth Holstein, Bruce M. McLaren and Vincent Aleven

[Best Full Research Paper Nominee] Better Late than Never but Never Late is Better: Towards Reducing the Answer Response Time to Questions in an Online Learning Community
Oluwabukola Ishola and Gordon McCalla

[Best Full Research Paper Nominee] Automatic Item Generation Unleashed: An Evaluation of a Large-Scale Deployment of Item Models
Yigal Attali

[Best Student Full Research Paper Nominee] Learning Curve Analysis in a Large-Scale, Drill-and-Practice Serious Math Game: Where is Learning Support Needed?
Zhongxiu Peddycord-Liu, Rachel Harred, Sarah Karamarkovich, Tiffany Barnes, Collin Lynch and Teomara Rutherford

[Best Student Full Research Paper Nominee] Expert Feature-Engineering vs. Deep Neural Networks: Which is Better for Sensor-Free Affect Detection?
Yang Jiang, Nigel Bosch, Ryan Baker, Luc Paquette, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Allison L. Moore and Gautam Biswas

[Best Student Full Research Paper Nominee] Early Identification of At-Risk Students Using Iterative Logistic Regression
Li Zhang and Huzefa Rangwala