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19th AIED 2018: London, UK
- Carolyn Penstein Rosé, Roberto Martínez Maldonado, Heinz Ulrich Hoppe, Rose Luckin, Manolis Mavrikis, Kaska Porayska-Pomsta, Bruce M. McLaren, Benedict du Boulay:
Artificial Intelligence in Education - 19th International Conference, AIED 2018, London, UK, June 27-30, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10947, Springer 2018, ISBN 978-3-319-93842-4
Full Papers
- Jenilyn L. Agapito, Ma. Mercedes T. Rodrigo:
Investigating the Impact of a Meaningful Gamification-Based Intervention on Novice Programmers' Achievement. 3-16 - Yigal Attali:
Automatic Item Generation Unleashed: An Evaluation of a Large-Scale Deployment of Item Models. 17-29 - Nigel Bosch, Caitlin Mills, Jeffrey D. Wammes, Daniel Smilek:
Quantifying Classroom Instructor Dynamics with Computer Vision. 30-42 - Devendra Singh Chaplot, Christopher MacLellan, Ruslan Salakhutdinov, Kenneth R. Koedinger:
Learning Cognitive Models Using Neural Networks. 43-56 - Ricardo Conejo, Beatriz Barros, Manuel F. Bertoa:
Measuring the Quality of Assessment Using Questions Generated from the Semantic Web. 57-69 - Tejas I. Dhamecha, Smit Marvaniya, Swarnadeep Saha, Renuka Sindhgatta, Bikram Sengupta:
Balancing Human Efforts and Performance of Student Response Analyzer in Dialog-Based Tutors. 70-85 - Nicholas Diana, John C. Stamper, Ken Koedinger:
An Instructional Factors Analysis of an Online Logical Fallacy Tutoring System. 86-97 - Yong Dich, Joseph M. Reilly, Bertrand Schneider:
Using Physiological Synchrony as an Indicator of Collaboration Quality, Task Performance and Learning. 98-110 - Rafael Ferreira, Vitomir Kovanovic, Dragan Gasevic, Vitor Rolim:
Towards Combined Network and Text Analytics of Student Discourse in Online Discussions. 111-126 - Sachin Grover, Jon Wetzel, Kurt VanLehn:
How Should Knowledge Composed of Schemas be Represented in Order to Optimize Student Model Accuracy? 127-139 - Peter M. Hastings, Simon Hughes, Mary Anne Britt:
Active Learning for Improving Machine Learning of Student Explanatory Essays. 140-153 - Kenneth Holstein, Bruce M. McLaren, Vincent Aleven:
Student Learning Benefits of a Mixed-Reality Teacher Awareness Tool in AI-Enhanced Classrooms. 154-168 - Kenneth Holstein, Zac Yu, Jonathan Sewall, Octav Popescu, Bruce M. McLaren, Vincent Aleven:
Opening Up an Intelligent Tutoring System Development Environment for Extensible Student Modeling. 169-183 - Oluwabukola Mayowa (Ishola) Idowu, Gordon McCalla:
Better Late Than Never but Never Late Is Better: Towards Reducing the Answer Response Time to Questions in an Online Learning Community. 184-197 - Yang Jiang, Nigel Bosch, Ryan S. Baker, Luc Paquette, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Allison L. Moore, Gautam Biswas:
Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection? 198-211 - Pamela W. Jordan, Patricia L. Albacete, Sandra Katz:
A Comparison of Tutoring Strategies for Recovering from a Failed Attempt During Faded Support. 212-224 - Amar Lalwani, Sweety Agrawal:
Validating Revised Bloom's Taxonomy Using Deep Knowledge Tracing. 225-238 - Christopher Vu Le, Zachary A. Pardos, Samuel D. Meyer, Rachel Thorp:
Communication at Scale in a MOOC Using Predictive Engagement Analytics. 239-252 - David Edgar Kiprop Lelei, Gordon McCalla:
How to Use Simulation in the Design and Evaluation of Learning Environments with Self-directed Longer-Term Learners. 253-266 - Haiying Li, Janice D. Gobert, Rachel Dickler, Natali Morad:
Students' Academic Language Use When Constructing Scientific Explanations in an Intelligent Tutoring System. 267-281 - Nichola Lubold, Erin Walker, Heather Pon-Barry, Amy Ogan:
Automated Pitch Convergence Improves Learning in a Social, Teachable Robot for Middle School Mathematics. 282-296 - Anupam Makhija, Deborah Richards, Jesse de Haan, Frank Dignum, Michael J. Jacobson:
The Influence of Gender, Personality, Cognitive and Affective Student Engagement on Academic Engagement in Educational Virtual Worlds. 297-310 - Noboru Matsuda, Vishnu Priya Chandra Sekar, Natalie Wall:
Metacognitive Scaffolding Amplifies the Effect of Learning by Teaching a Teachable Agent. 311-323 - Jessica McBroom, Kalina Yacef, Irena Koprinska, James R. Curran:
A Data-Driven Method for Helping Teachers Improve Feedback in Computer Programming Automated Tutors. 324-337 - Huy Anh Nguyen, Erik Harpstead, Yeyu Wang, Bruce M. McLaren:
Student Agency and Game-Based Learning: A Study Comparing Low and High Agency. 338-351 - Benjamin D. Nye, Shamya Karumbaiah, S. Tugba Tokel, Mark G. Core, Giota Stratou, Daniel Auerbach, Kallirroi Georgila:
Engaging with the Scenario: Affect and Facial Patterns from a Scenario-Based Intelligent Tutoring System. 352-366 - Eda Okur, Sinem Aslan, Nese Alyüz, Asli Arslan Esme, Ryan S. Baker:
Role of Socio-cultural Differences in Labeling Students' Affective States. 367-380 - Korinn S. Ostrow, Neil T. Heffernan:
Testing the Validity and Reliability of Intrinsic Motivation Inventory Subscales Within ASSISTments. 381-394 - Jaruwat Pailai, Warunya Wunnasri, Yusuke Hayashi, Tsukasa Hirashima:
Correctness- and Confidence-Based Adaptive Feedback of Kit-Build Concept Map with Confidence Tagging. 395-408 - Marilena Panaite, Mihai Dascalu, Amy M. Johnson, Renu Balyan, Jianmin Dai, Danielle S. McNamara, Stefan Trausan-Matu:
Bring It on! Challenges Encountered While Building a Comprehensive Tutoring System Using ReaderBench. 409-419 - Bhargavi Paranjape, Zhen Bai, Justine Cassell:
Predicting the Temporal and Social Dynamics of Curiosity in Small Group Learning. 420-435 - Zhongxiu Peddycord-Liu, Rachel Harred, Sarah Karamarkovich, Tiffany Barnes, Collin F. Lynch, Teomara Rutherford:
Learning Curve Analysis in a Large-Scale, Drill-and-Practice Serious Math Game: Where Is Learning Support Needed? 436-449 - Radek Pelánek:
Conceptual Issues in Mastery Criteria: Differentiating Uncertainty and Degrees of Knowledge. 450-461 - Boyd A. Potts, Hassan Khosravi, Carl Reidsema:
Reciprocal Content Recommendation for Peer Learning Study Sessions. 462-475 - Thomas W. Price, Rui Zhi, Yihuan Dong, Nicholas Lytle, Tiffany Barnes:
The Impact of Data Quantity and Source on the Quality of Data-Driven Hints for Programming. 476-490 - Stefan Ruseti, Mihai Dascalu, Amy M. Johnson, Renu Balyan, Kristopher J. Kopp, Danielle S. McNamara, Scott A. Crossley, Stefan Trausan-Matu:
Predicting Question Quality Using Recurrent Neural Networks. 491-502 - Swarnadeep Saha, Tejas I. Dhamecha, Smit Marvaniya, Renuka Sindhgatta, Bikram Sengupta:
Sentence Level or Token Level Features for Automatic Short Answer Grading?: Use Both. 503-517 - Sreecharan Sankaranarayanan, Cameron Dashti, Christopher Bogart, Xu Wang, Majd Sakr, Carolyn Penstein Rosé:
When Optimal Team Formation Is a Choice - Self-selection Versus Intelligent Team Formation Strategies in a Large Online Project-Based Course. 518-531 - Annika Silvervarg, Magnus Haake, Agneta Gulz:
Perseverance Is Crucial for Learning. "OK! but Can I Take a Break?". 532-544 - Angela Stewart, Sidney K. D'Mello:
Connecting the Dots Towards Collaborative AIED: Linking Group Makeup to Process to Learning. 545-556 - Eva-Maria Ternblad, Magnus Haake, Erik Anderberg, Agneta Gulz:
Do Preschoolers 'Game the System'? A Case Study of Children's Intelligent (Mis)Use of a Teachable Agent Based Play-&-Learn Game in Mathematics. 557-569 - Ilkka Tuomi:
Vygotsky Meets Backpropagation - Artificial Neural Models and the Development of Higher Forms of Thought. 570-583 - Sudanthi N. R. Wijewickrema, Xingjun Ma, Patorn Piromchai, Robert Briggs, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary:
Providing Automated Real-Time Technical Feedback for Virtual Reality Based Surgical Training: Is the Simpler the Better? 584-598 - Warunya Wunnasri, Jaruwat Pailai, Yusuke Hayashi, Tsukasa Hirashima:
Reciprocal Kit-Building of Concept Map to Share Each Other's Understanding as Preparation for Collaboration. 599-612 - Li Zhang, Huzefa Rangwala:
Early Identification of At-Risk Students Using Iterative Logistic Regression. 613-626
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