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22nd AIED 2021: Utrecht, The Netherlands
- Ido Roll, Danielle S. McNamara, Sergey A. Sosnovsky, Rose Luckin, Vania Dimitrova:
Artificial Intelligence in Education - 22nd International Conference, AIED 2021, Utrecht, The Netherlands, June 14-18, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12748, Springer 2021, ISBN 978-3-030-78291-7
Full Papers
- Seth Akonor Adjei, Ryan S. Baker, Vedant Bahel:
Seven-Year Longitudinal Implications of Wheel Spinning and Productive Persistence. 16-28 - Samah AlKhuzaey, Floriana Grasso, Terry R. Payne, Valentina A. M. Tamma:
A Systematic Review of Data-Driven Approaches to Item Difficulty Prediction. 29-41 - Nese Alyüz, Sinem Aslan, Sidney K. D'Mello, Lama Nachman, Asli Arslan Esme:
Annotating Student Engagement Across Grades 1-12: Associations with Demographics and Expressivity. 42-51 - Ryan S. Baker, Nidhi Nasiar, Jaclyn L. Ocumpaugh, Stephen Hutt, Juliana Ma. Alexandra L. Andres, Stefan Slater, Matthew Schofield, Allison L. Moore, Luc Paquette, Anabil Munshi, Gautam Biswas:
Affect-Targeted Interviews for Understanding Student Frustration. 52-63 - Jordan Barria-Pineda, Kamil Akhuseyinoglu, Stefan Zelem-Celap, Peter Brusilovsky, Aleksandra Klasnja-Milicevic, Mirjana Ivanovic:
Explainable Recommendations in a Personalized Programming Practice System. 64-76 - Robert-Mihai Botarleanu, Mihai Dascalu, Micah Watanabe, Danielle S. McNamara, Scott Andrew Crossley:
Multilingual Age of Exposure. 77-87 - James P. Bywater, Mark Floryan, Jennifer L. Chiu:
DiSCS: A New Sequence Segmentation Method for Open-Ended Learning Environments. 88-100 - Tomás Effenberger, Radek Pelánek:
Interpretable Clustering of Students' Solutions in Introductory Programming. 101-112 - Fahmid Morshed Fahid, Jonathan P. Rowe, Randall D. Spain, Benjamin S. Goldberg, Robert Pokorny, James C. Lester:
Adaptively Scaffolding Cognitive Engagement with Batch Constrained Deep Q-Networks. 113-124 - Elaine Farrow, Johanna D. Moore, Dragan Gasevic:
Ordering Effects in a Role-Based Scaffolding Intervention for Asynchronous Online Discussions. 125-136 - Aritra Ghosh, Jay Raspat, Andrew S. Lan:
Option Tracing: Beyond Correctness Analysis in Knowledge Tracing. 137-149 - Jamie Gorson, Nicholas LaGrassa, Cindy Hsinyu Hu, Elise Lee, Ava Marie Robinson, Eleanor O'Rourke:
An Approach for Detecting Student Perceptions of the Programming Experience from Interaction Log Data. 150-164 - Amanda E. Griffith, Gloria Ashiya Katuka, Joseph B. Wiggins, Kristy Elizabeth Boyer, Jason Freeman, Brian Magerko, Tom McKlin:
Discovering Co-creative Dialogue States During Collaborative Learning. 165-177 - Ankit Gupta, Neeraj Menon, William Lee, William Rebelsky, Danielle Allessio, Tom Murray, Beverly P. Woolf, Jacob Whitehill, Ivon Arroyo:
Affective Teacher Tools: Affective Class Report Card and Dashboard. 178-189 - Sameena Hossain, Azamat Kamzin, Venkata Naga Sai Apurupa Amperayani, Prajwal Paudyal, Ayan Banerjee, Sandeep K. S. Gupta:
Engendering Trust in Automated Feedback: A Two Step Comparison of Feedbacks in Gesture Based Learning. 190-202 - Jay Jennings, Kasia Muldner:
Investigating Students' Reasoning in a Code-Tracing Tutor. 203-214 - Song Ju, Guojing Zhou, Mark Abdelshiheed, Tiffany Barnes, Min Chi:
Evaluating Critical Reinforcement Learning Framework in the Field. 215-227 - Carmel Kent, Muhammad Ali Chaudhry, Mutlu Cukurova, Ibrahim Bashir, Hannah Pickard, Chris Jenkins, Benedict du Boulay, Anissa Moeini, Rosemary Luckin:
Machine Learning Models and Their Development Process as Learning Affordances for Humans. 228-240 - Sébastien Lallé, Rohit Murali, Cristina Conati, Roger Azevedo:
Predicting Co-occurring Emotions from Eye-Tracking and Interaction Data in MetaTutor. 241-254 - Diane J. Litman, Haoran Zhang, Richard Correnti, Lindsay Clare Matsumura, Elaine Wang:
A Fairness Evaluation of Automated Methods for Scoring Text Evidence Usage in Writing. 255-267 - Yingbo Ma, Joseph B. Wiggins, Mehmet Celepkolu, Kristy Elizabeth Boyer, Collin F. Lynch, Eric N. Wiebe:
The Challenge of Noisy Classrooms: Speaker Detection During Elementary Students' Collaborative Dialogue. 268-281 - Mihai Masala, Stefan Ruseti, Mihai Dascalu, Ciprian Dobre:
Extracting and Clustering Main Ideas from Student Feedback Using Language Models. 282-292 - Wookhee Min, Randall Spain, Jason D. Saville, Bradford W. Mott, Keith Brawner, Joan Johnston, James C. Lester:
Multidimensional Team Communication Modeling for Adaptive Team Training: A Hybrid Deep Learning and Graphical Modeling Framework. 293-305 - Abhinav Misra, Anastassia Loukina, Beata Beigman Klebanov, Binod Gyawali, Klaus Zechner:
A Good Start is Half the Battle Won: Unsupervised Pre-training for Low Resource Children's Speech Recognition for an Interactive Reading Companion. 306-317 - Christian Otto, Ran Yu, Georg Pardi, Johannes von Hoyer, Markus Rokicki, Anett Hoppe, Peter Holtz, Yvonne Kammerer, Stefan Dietze, Ralph Ewerth:
Predicting Knowledge Gain During Web Search Based on Multimedia Resource Consumption. 318-330 - Shi Pu, Geoffrey A. Converse, Yuchi Huang:
Deep Performance Factors Analysis for Knowledge Tracing. 331-341 - J. Elizabeth Richey, Jiayi Zhang, Rohini Das, Juan Miguel L. Andres-Bray, Richard Scruggs, Michael Mogessie Ashenafi, Ryan S. Baker, Bruce M. McLaren:
Gaming and Confrustion Explain Learning Advantages for a Math Digital Learning Game. 342-355 - Markel Sanz Ausin, Mehak Maniktala, Tiffany Barnes, Min Chi:
Tackling the Credit Assignment Problem in Reinforcement Learning-Induced Pedagogical Policies with Neural Networks. 356-368 - Danner Schlotterbeck, Pablo Uribe, Abelino Jiménez, Roberto Araya, Johan Van der Molen Moris, Daniela Caballero:
TARTA: Teacher Activity Recognizer from Transcriptions and Audio. 369-380 - Lele Sha, Mladen Rakovic, Alexander Whitelock-Wainwright, David Carroll, Victoria M. Yew, Dragan Gasevic, Guanliang Chen:
Assessing Algorithmic Fairness in Automatic Classifiers of Educational Forum Posts. 381-394 - Tasmia Shahriar, Noboru Matsuda:
"Can You Clarify What You Said?": Studying the Impact of Tutee Agents' Follow-Up Questions on Tutors' Learning. 395-407 - Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, Sean McGrew, Dongwon Lee:
Classifying Math Knowledge Components via Task-Adaptive Pre-Trained BERT. 408-419 - Masaki Uto:
A Multidimensional Item Response Theory Model for Rubric-Based Writing Assessment. 420-432 - Zichao Wang, Kyle Manning, Debshila Basu Mallick, Richard G. Baraniuk:
Towards Blooms Taxonomy Classification Without Labels. 433-445 - Shiting Xu, Guowei Xu, Peilei Jia, Wenbiao Ding, Zhongqin Wu, Zitao Liu:
Automatic Task Requirements Writing Evaluation via Machine Reading Comprehension. 446-458 - Mengfan Yao, Shaghayegh Sahebi, Reza Feyzi-Behnagh, Semih Bursali, Siqian Zhao:
Temporal Processes Associating with Procrastination Dynamics. 459-471 - Qi Zhou, Wannapon Suraworachet, Stanislav Pozdniakov, Roberto Martínez Maldonado, Tom Bartindale, Peter Chen, Dan Richardson, Mutlu Cukurova:
Investigating Students' Experiences with Collaboration Analytics for Remote Group Meetings. 472-485 - Xiaofei Zhou, Jingwan Tang, Michael Daley, Saad Ahmad, Zhen Bai:
"Now, I Want to Teach It for Real!": Introducing Machine Learning as a Scientific Discovery Tool for K-12 Teachers. 486-499 - Jaroslav Cechák, Radek Pelánek:
Better Model, Worse Predictions: The Dangers in Student Model Comparisons. 500-511
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