Artificial Intelligence in Education : 20th International Conference, AIED 2019, Chicago, IL, USA, June 25-29, 2019, Proceedings, Part I

This two-volume set LNCS 11625 and 11626 constitutes the refereed proceedings of the 20th International Conference on Artificial Intelligence in Education, AIED 2019, held in Chicago, IL, USA, in June 2019. The 45 full papers presented together with 41 short, 10 doctoral consortium, 6 industry, and 10 workshop papers were carefully reviewed and selected from 177 submissions. AIED 2019 solicits empirical and theoretical papers particularly in the following lines of research and application: Intelligent and interactive technologies in an educational context; Modelling and representation; Models of teaching and learning; Learning contexts and informal learning; Evaluation; Innovative applications; Intelligent techniques to support disadvantaged schools and students, inequity and inequality in education.​ Front Matter ....Pages i-xxxiv Towards the Identification of Propaedeutic Relations in Textbooks (Giovanni Adorni, Chiara Alzetta, Frosina Koceva, Samuele Passalacqua, Ilaria Torre)....Pages 1-13 Investigating Help-Giving Behavior in a Cross-Platform Learning Environment (Ishrat Ahmed, Areej Mawasi, Shang Wang, Ruth Wylie, Yoav Bergner, Amanda Whitehurst et al.)....Pages 14-25 Predicting Academic Performance: A Bootstrapping Approach for Learning Dynamic Bayesian Networks (Mashael Al-Luhaybi, Leila Yousefi, Stephen Swift, Steve Counsell, Allan Tucker)....Pages 26-36 The Impact of Student Model Updates on Contingent Scaffolding in a Natural-Language Tutoring System (Patricia Albacete, Pamela Jordan, Sandra Katz, Irene-Angelica Chounta, Bruce M. McLaren)....Pages 37-47 Item Ordering Biases in Educational Data (Jaroslav Čechák, Radek Pelánek)....Pages 48-58 A Comparative Study on Question-Worthy Sentence Selection Strategies for Educational Question Generation (Guanliang Chen, Jie Yang, Dragan Gasevic)....Pages 59-70 Effect of Discrete and Continuous Parameter Variation on Difficulty in Automatic Item Generation (Binglin Chen, Craig Zilles, Matthew West, Timothy Bretl)....Pages 71-83 Automated Summarization Evaluation (ASE) Using Natural Language Processing Tools (Scott A. Crossley, Minkyung Kim, Laura Allen, Danielle McNamara)....Pages 84-95 The Importance of Automated Real-Time Performance Feedback in Virtual Reality Temporal Bone Surgery Training (Myles Davaris, Sudanthi Wijewickrema, Yun Zhou, Patorn Piromchai, James Bailey, Gregor Kennedy et al.)....Pages 96-109 Autonomy and Types of Informational Text Presentations in Game-Based Learning Environments (Daryn A. Dever, Roger Azevedo)....Pages 110-120 Examining Gaze Behaviors and Metacognitive Judgments of Informational Text Within Game-Based Learning Environments (Daryn A. Dever, Roger Azevedo)....Pages 121-132 Using “Idealized Peers” for Automated Evaluation of Student Understanding in an Introductory Psychology Course (Tricia A. Guerrero, Jennifer Wiley)....Pages 133-143 4D Affect Detection: Improving Frustration Detection in Game-Based Learning with Posture-Based Temporal Data Fusion (Nathan L. Henderson, Jonathan P. Rowe, Bradford W. Mott, Keith Brawner, Ryan Baker, James C. Lester)....Pages 144-156 Designing for Complementarity: Teacher and Student Needs for Orchestration Support in AI-Enhanced Classrooms (Kenneth Holstein, Bruce M. McLaren, Vincent Aleven)....Pages 157-171 The Case of Self-transitions in Affective Dynamics (Shamya Karumbaiah, Ryan S. Baker, Jaclyn Ocumpaugh)....Pages 172-181 How Many Times Should a Pedagogical Agent Simulation Model Be Run? (David Edgar Kiprop Lelei, Gordon McCalla)....Pages 182-193 A Survey of the General Public’s Views on the Ethics of Using AI in Education (Annabel Latham, Sean Goltz)....Pages 194-206 Promoting Inclusivity Through Time-Dynamic Discourse Analysis in Digitally-Mediated Collaborative Learning (Nia Dowell, Yiwen Lin, Andrew Godfrey, Christopher Brooks)....Pages 207-219 Evaluating Machine Learning Approaches to Classify Pharmacy Students’ Reflective Statements (Ming Liu, Simon Buckingham Shum, Efi Mantzourani, Cherie Lucas)....Pages 220-230 Comfort with Robots Influences Rapport with a Social, Entraining Teachable Robot (Nichola Lubold, Erin Walker, Heather Pon-Barry, Amy Ogan)....Pages 231-243 A Concept Map Based Assessment of Free Student Answers in Tutorial Dialogues (Nabin Maharjan, Vasile Rus)....Pages 244-257 Deep (Un)Learning: Using Neural Networks to Model Retention and Forgetting in an Adaptive Learning System (Jeffrey Matayoshi, Hasan Uzun, Eric Cosyn)....Pages 258-269 Checking It Twice: Does Adding Spelling and Grammar Checkers Improve Essay Quality in an Automated Writing Tutor? (Kathryn S. McCarthy, Rod D. Roscoe, Aaron D. Likens, Danielle S. McNamara)....Pages 270-282 What’s Most Broken? Design and Evaluation of a Tool to Guide Improvement of an Intelligent Tutor (Shiven Mian, Mononito Goswami, Jack Mostow)....Pages 283-295 Reducing Mind-Wandering During Vicarious Learning from an Intelligent Tutoring System (Caitlin Mills, Nigel Bosch, Kristina Krasich, Sidney K. D’Mello)....Pages 296-307 Annotated Examples and Parameterized Exercises: Analyzing Students’ Behavior Patterns (Mehrdad Mirzaei, Shaghayegh Sahebi, Peter Brusilovsky)....Pages 308-319 Investigating the Effect of Adding Nudges to Increase Engagement in Active Video Watching (Antonija Mitrovic, Matthew Gordon, Alicja Piotrkowicz, Vania Dimitrova)....Pages 320-332 Behavioural Cloning of Teachers for Automatic Homework Selection (Russell Moore, Andrew Caines, Andrew Rice, Paula Buttery)....Pages 333-344 Integrating Students’ Behavioral Signals and Academic Profiles in Early Warning System (SungJin Nam, Perry Samson)....Pages 345-357 Predicting Multi-document Comprehension: Cohesion Network Analysis (Bogdan Nicula, Cecile A. Perret, Mihai Dascalu, Danielle S. McNamara)....Pages 358-369 Student Network Analysis: A Novel Way to Predict Delayed Graduation in Higher Education (Nasheen Nur, Noseong Park, Mohsen Dorodchi, Wenwen Dou, Mohammad Javad Mahzoon, Xi Niu et al.)....Pages 370-382 Automatic Generation of Problems and Explanations for an Intelligent Algebra Tutor (Eleanor O’Rourke, Eric Butler, Armando Díaz Tolentino, Zoran Popović)....Pages 383-395 Generalizability of Methods for Imputing Mathematical Skills Needed to Solve Problems from Texts (Thanaporn Patikorn, David Deisadze, Leo Grande, Ziyang Yu, Neil Heffernan)....Pages 396-405 Using Machine Learning to Overcome the Expert Blind Spot for Perceptual Fluency Trainings (Martina A. Rau, Ayon Sen, Xiaojin Zhu)....Pages 406-418 Disentangling Conceptual and Embodied Mechanisms for Learning with Virtual and Physical Representations (Martina A. Rau, Tara A. Schmidt)....Pages 419-431 Adaptive Support for Representation Skills in a Chemistry ITS Is More Effective Than Static Support (Martina A. Rau, Miranda Zahn, Edward Misback, Judith Burstyn)....Pages 432-444 Confrustion in Learning from Erroneous Examples: Does Type of Prompted Self-explanation Make a Difference? (J. Elizabeth Richey, Bruce M. McLaren, Miguel Andres-Bray, Michael Mogessie, Richard Scruggs, Ryan Baker et al.)....Pages 445-457 Modeling Collaboration in Online Conversations Using Time Series Analysis and Dialogism (Robert-Florian Samoilescu, Mihai Dascalu, Maria-Dorinela Sirbu, Stefan Trausan-Matu, Scott A. Crossley)....Pages 458-468 Improving Short Answer Grading Using Transformer-Based Pre-training (Chul Sung, Tejas Indulal Dhamecha, Nirmal Mukhi)....Pages 469-481 Uniform Adaptive Testing Using Maximum Clique Algorithm (Maomi Ueno, Yoshimitsu Miyazawa)....Pages 482-493 Rater-Effect IRT Model Integrating Supervised LDA for Accurate Measurement of Essay Writing Ability (Masaki Uto)....Pages 494-506 Collaboration Detection that Preserves Privacy of Students’ Speech (Sree Aurovindh Viswanathan, Kurt VanLehn)....Pages 507-517 How Does Order of Gameplay Impact Learning and Enjoyment in a Digital Learning Game? (Yeyu Wang, Huy Nguyen, Erik Harpstead, John Stamper, Bruce M. McLaren)....Pages 518-531 Analyzing Students’ Design Solutions in an NGSS-Aligned Earth Sciences Curriculum (Ningyu Zhang, Gautam Biswas, Jennifer L. Chiu, Kevin W. McElhaney)....Pages 532-543 Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi)....Pages 544-556 Back Matter ....Pages 557-561