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ORCID23rd AIED 2022: Durham, UK - Part I
- Maria Mercedes T. Rodrigo, Noboru Matsuda, Alexandra I. Cristea
, Vania Dimitrova:
Artificial Intelligence in Education - 23rd International Conference, AIED 2022, Durham, UK, July 27-31, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13355, Springer 2022, ISBN 978-3-031-11643-8
Full Papers
- Jacob Whitehill, Amitai Erfanian:
How to Give Imperfect Automated Guidance to Learners: A Case-Study in Workplace Learning. 3-14 - Marzieh Karimi-Haghighi, Carlos Castillo, Davinia Hernández-Leo:
A Causal Inference Study on the Effects of First Year Workload on the Dropout Rate of Undergraduates. 15-27 - Ahana Ghosh, Sebastian Tschiatschek, Sam Devlin, Adish Singla:
Adaptive Scaffolding in Block-Based Programming via Synthesizing New Tasks as Pop Quizzes. 28-40 - Amal Ben Soussia, Célina Treuillier, Azim Roussanaly, Anne Boyer:
Learning Profiles to Assess Educational Prediction Systems. 41-52 - Adam Linson, Yucheng Xu, Andrea R. English, Robert B. Fisher:
Identifying Student Struggle by Analyzing Facial Movement During Asynchronous Video Lecture Viewing: Towards an Automated Tool to Support Instructors. 53-65 - Jihyun Rho, Martina A. Rau, Barry D. Van Veen:
Preparing Future Learning with Novel Visuals by Supporting Representational Competencies. 66-77 - Alex Goslen, Dan Carpenter, Jonathan P. Rowe, Nathan L. Henderson, Roger Azevedo, James C. Lester:
Leveraging Student Goal Setting for Real-Time Plan Recognition in Game-Based Learning. 78-89 - Paola Mejia-Domenzain, Mirko Marras, Christian Giang, Tanja Käser:
Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms. 90-102 - Joel P. Beier, Martina A. Rau:
Embodied Learning with Physical and Virtual Manipulatives in an Intelligent Tutor for Chemistry. 103-114 - Nidhi Nasiar, Ryan S. Baker, Jillian Li, Weiyi Gong:
How do A/B Testing and Secondary Data Analysis on AIED Systems Influence Future Research? 115-126 - Negar Mohammadhassan, Antonija Mitrovic:
Investigating the Effectiveness of Visual Learning Analytics in Active Video Watching. 127-139 - Nicholas Diana, John C. Stamper, Ken Koedinger, Jessica Hammer:
Debiasing Politically Motivated Reasoning with Value-Adaptive Instruction. 140-152 - Zichao Wang, Jakob Valdez, Debshila Basu Mallick, Richard G. Baraniuk:
Towards Human-Like Educational Question Generation with Large Language Models. 153-166 - Mladen Rakovic, Lele Sha, Gerry Nagtzaam, Nick Young, Patrick Stratmann, Dragan Gasevic, Guanliang Chen:
Towards the Automated Evaluation of Legal Casenote Essays. 167-179 - Haruki Oka, Hung Tuan Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa, Tsunenori Ishioka:
Fully Automated Short Answer Scoring of the Trial Tests for Common Entrance Examinations for Japanese University. 180-192 - Pei Hua Cher, Jason Wen Yau Lee, Fernando Bello:
Machine Learning Techniques to Evaluate Lesson Objectives. 193-205 - Anna Filighera, Joel Tschesche, Tim Steuer, Thomas Tregel, Lisa Wernet:
Towards Generating Counterfactual Examples as Automatic Short Answer Feedback. 206-217 - Chahrazed Labba, Rabie Ben Atitallah, Anne Boyer:
Combining Artificial Intelligence and Edge Computing to Reshape Distance Education (Case Study: K-12 Learners). 218-230 - Tasuku Sato, Hiroaki Funayama, Kazuaki Hanawa, Kentaro Inui:
Plausibility and Faithfulness of Feature Attribution-Based Explanations in Automated Short Answer Scoring. 231-242 - Gianni Fenu, Roberta Galici, Mirko Marras:
Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education. 243-255 - Efthyvoulos Drousiotis, Panagiotis Pentaliotis, Lei Shi, Alexandra I. Cristea:
Balancing Fined-Tuned Machine Learning Models Between Continuous and Discrete Variables - A Comprehensive Analysis Using Educational Data. 256-268 - Danner Schlotterbeck, Abelino Jiménez, Roberto Araya, Daniela Caballero, Pablo Uribe, Johan Van der Molen Moris:
"Teacher, Can You Say It Again?" Improving Automatic Speech Recognition Performance over Classroom Environments with Limited Data. 269-280 - Anthony F. Botelho, Ethan Prihar, Neil T. Heffernan:
Deep Learning or Deep Ignorance? Comparing Untrained Recurrent Models in Educational Contexts. 281-293 - Chenghao Xiao, Lei Shi, Alexandra I. Cristea, Zhaoxing Li, Ziqi Pan:
Fine-grained Main Ideas Extraction and Clustering of Online Course Reviews. 294-306 - Andrew M. Olney:
Assessing Readability by Filling Cloze Items with Transformers. 307-318 - K. M. Shabana, Chandrashekar Lakshminarayanan, Jude K. Anil:
CurriculumTutor: An Adaptive Algorithm for Mastering a Curriculum. 319-331 - Daryn A. Dever, Nathan A. Sonnenfeld, Megan D. Wiedbusch, Roger Azevedo:
Pedagogical Agent Support and Its Relationship to Learners' Self-regulated Learning Strategy Use with an Intelligent Tutoring System. 332-343 - Rachel Van Campenhout, Martha Hubertz, Benny G. Johnson:
Evaluating AI-Generated Questions: A Mixed-Methods Analysis Using Question Data and Student Perceptions. 344-353 - Aubrey Condor, Zachary A. Pardos, Marcia C. Linn:
Representing Scoring Rubrics as Graphs for Automatic Short Answer Grading. 354-365 - Danielle R. Chine, Cassandra Brentley, Carmen Thomas-Browne, J. Elizabeth Richey, Abdulmenaf Gul, Paulo F. Carvalho, Lee G. Branstetter, Kenneth R. Koedinger:
Educational Equity Through Combined Human-AI Personalization: A Propensity Matching Evaluation. 366-377 - Angelina Abitino, Samuel L. Pugh, Candace E. Peacock, Sidney K. D'Mello:
Eye to Eye: Gaze Patterns Predict Remote Collaborative Problem Solving Behaviors in Triads. 378-389 - Keith Cochran, Clayton Cohn, Nicole Hutchins, Gautam Biswas, Peter M. Hastings:
Improving Automated Evaluation of Formative Assessments with Text Data Augmentation. 390-401 - Megan D. Wiedbusch, Nathan A. Sonnenfeld, Daryn A. Dever, Roger Azevedo:
Clustering Learner's Metacognitive Judgment Accuracy and Bias to Explore Learning with AIEd Systems. 402-413 - Yipu Zheng, Zhuqian Zhou, Paulo Blikstein:
Towards an Inclusive and Socially Committed Community in Artificial Intelligence in Education: A Social Network Analysis of the Evolution of Authorship and Research Topics over 8 Years and 2509 Papers. 414-426 - Xinyue Chen, Xu Wang:
Scaling Mixed-Methods Formative Assessments (mixFA) in Classrooms: A Clustering Pipeline to Identify Student Knowledge. 427-439 - Song Ju, Xi Yang, Tiffany Barnes, Min Chi:
Student-Tutor Mixed-Initiative Decision-Making Supported by Deep Reinforcement Learning. 440-452 - Yo Ehara:
An Intelligent Interactive Support System for Word Usage Learning in Second Languages. 453-464 - Hiroaki Funayama, Tasuku Sato, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui:
Balancing Cost and Quality: An Exploration of Human-in-the-Loop Frameworks for Automated Short Answer Scoring. 465-476 - Venktesh V, Md. Shad Akhtar, Mukesh K. Mohania, Vikram Goyal:
Auxiliary Task Guided Interactive Attention Model for Question Difficulty Prediction. 477-489 - Kanato Sugii, Takashi Nagai, Mizue Kayama:
A Basic Study on Educational Growth Indicators Based on Quantitative Evaluation of Strokes Quality in Drawing Works. 490-501
Short Papers
- Tim Steuer, Anna Filighera, Gianluca Zimmer, Thomas Tregel:
What Is Relevant for Learning? Approximating Readers' Intuition Using Neural Content Selection. 505-511 - Ming-Chi Liu, Wei-Yang Lin, Chia-Ling Tsai:
Computer-Aided Response-to-Intervention for Reading Comprehension Based on Recommender System. 512-518 - Ahmed Magooda, Diane J. Litman, Ahmed Ashraf, Muhsin Menekse:
Improving the Quality of Students' Written Reflections Using Natural Language Processing: Model Design and Classroom Evaluation. 519-525 - Soheil Esmaeilzadeh, Brian Williams, Davood Shamsi, Onar Vikingstad:
Providing Insights for Open-Response Surveys via End-to-End Context-Aware Clustering. 526-532 - Ziyuan Liu, Hady W. Lauw:
Towards Aligning Slides and Video Snippets: Mitigating Sequence and Content Mismatches. 533-539 - Deepti Reddy, Vedant Balasubramaniam, Salman Shaikh, Shreyas Trapasia:
Student Behavior Models in Ill-Structured Problem-Solving Environment. 540-545 - Mark Abdelshiheed, John Wesley Hostetter, Xi Yang, Tiffany Barnes, Min Chi:
Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer. 546-552 - Haiying Li, Fanshuo Cheng, Grace Wang, Art Graeser:
The Impact of Conversational Agents' Language on Self-efficacy and Summary Writing. 553-559 - Wei Dai, Yi-Shan Tsai, Yizhou Fan, Dragan Gasevic, Guanliang Chen:
Measuring Inconsistency in Written Feedback: A Case Study in Politeness. 560-566 - Nicholas Diana, John C. Stamper:
Reducing Bias in a Misinformation Classification Task with Value-Adaptive Instruction. 567-572 - Deliang Wang, Yu Lu, Zhi Zhang, Penghe Chen:
A Generic Interpreting Method for Knowledge Tracing Models. 573-580 - Diane J. Litman, Tazin Afrin, Omid Kashefi, Christopher Olshefski, Amanda Godley, Rebecca Hwa:
An Automated Writing Evaluation System for Supporting Self-monitored Revising. 581-587 - Qi Zhou, Wannapon Suraworachet, Oya Çeliktutan, Mutlu Cukurova:
What Does Shared Understanding in Students' Face-to-Face Collaborative Learning Gaze Behaviours "Look Like"? 588-593 - Sergey A. Sosnovsky, Almed Hamzah:
Improving Prediction of Student Performance in a Blended Course. 594-599 - Saman Rizvi, Andrea Gauthier, Mutlu Cukurova, Manolis Mavrikis:
Examining Gender Differences in Game-Based Learning Through BKT Parameter Estimation. 600-606 - Lin Li, Zachari Swiecki, Dragan Gasevic, Guanliang Chen:
Popularity Prediction in MOOCs: A Case Study on Udemy. 607-613 - Chia-Yu Hsu, Rwitajit Majumdar, Huiyong Li, Yuanyuan Yang, Hiroaki Ogata:
Extensive Reading at Home: Extracting Self-directed Reading Habits from Learning Logs. 614-619 - Menna Fateen, Tsunenori Mine:
Extraction of Useful Observational Features from Teacher Reports for Student Performance Prediction. 620-625 - Maomi Ueno, Yoshimitsu Miyazawa:
Two-Stage Uniform Adaptive Testing to Balance Measurement Accuracy and Item Exposure. 626-632 - Manisha Verma, Yuta Nakashima, Noriko Takemura, Hajime Nagahara:
Multi-label Disengagement and Behavior Prediction in Online Learning. 633-639 - Han Wei Ng, Aiden Koh, Anthea Foong, Jeremy Ong, Jun Hao Tan, Eng Tat Khoo, Gabriel Liu:
Real-Time Spoken Language Understanding for Orthopedic Clinical Training in Virtual Reality. 640-646 - Yugo Hayashi, Shigen Shimojo:
Modeling Perspective Taking and Knowledge Use in Collaborative Explanation: Investigation by Laboratory Experiment and Computer Simulation Using ACT-R. 647-652 - Michael Smalenberger:
Are Students Aware of How Much Help They Need? The Relationship Between Awareness, Help Seeking, and Self-assessment. 653-659 - Purushartha Singh, Rebecca J. Passonneau, Mohammad Wasih, Xuesong Cang, ChanMin Kim, Sadhana Puntambekar:
Automated Support to Scaffold Students' Written Explanations in Science. 660-665 - Luiz A. L. Rodrigues, Armando M. Toda, Filipe D. Pereira, Paula T. Palomino, Ana C. T. Klock, Marcela Pessoa, David B. F. Oliveira, Isabela Gasparini, Elaine H. T. Oliveira, Alexandra I. Cristea, Seiji Isotani:
GARFIELD: A Recommender System to Personalize Gamified Learning. 666-672 - Kexin Bella Yang, Zijing Lu, Vanessa Echeverría, Jonathan Sewall, LuEttaMae Lawrence, Nikol Rummel, Vincent Aleven:
Technology Ecosystem for Orchestrating Dynamic Transitions Between Individual and Collaborative AI-Tutored Problem Solving. 673-678 - Alexander Heimerl, Silvan Mertes, Tanja Schneeberger, Tobias Baur, Ailin Liu, Linda Becker, Nicolas Rohleder, Patrick Gebhard, Elisabeth André:
Generating Personalized Behavioral Feedback for a Virtual Job Interview Training System Through Adversarial Learning. 679-684 - Sami Baral, Karthik Seetharaman, Anthony F. Botelho, Anzhuo Wang, George T. Heineman, Neil T. Heffernan:
Enhancing Auto-scoring of Student Open Responses in the Presence of Mathematical Terms and Expressions. 685-690 - Nigel Fernandez, Aritra Ghosh, Naiming Liu, Zichao Wang, Benoît Choffin, Richard G. Baraniuk, Andrew S. Lan:
Automated Scoring for Reading Comprehension via In-context BERT Tuning. 691-697 - Anna Wróblewska, Jozef Jasek, Bogdan Jastrzebski, Stanislaw Pawlak, Anna Grzywacz, Siew Ann Cheong, Seng Chee Tan, Tomasz Trzcinski, Janusz A. Holyst:
Deep Learning for Automatic Detection of Qualitative Features of Lecturing. 698-703 - Yo Ehara:
Predicting Second Language Learners' Actual Knowledge Using Self-perceived Knowledge. 704-710 - Jiayi Zhang, Stephen Hutt, Jaclyn Ocumpaugh, Nathan L. Henderson, Alex Goslen, Jonathan P. Rowe, Kristy Elizabeth Boyer, Eric N. Wiebe, Bradford W. Mott, James C. Lester:
Investigating Student Interest and Engagement in Game-Based Learning Environments. 711-716 - Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea:
Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCs. 717-723 - Robert Belfer, Ekaterina Kochmar, Iulian Vlad Serban:
Raising Student Completion Rates with Adaptive Curriculum and Contextual Bandits. 724-730 - Shi Pu, Lee Becker:
Self-attention in Knowledge Tracing: Why It Works. 731-736 - Andrea Zanellati, Stefano Pio Zingaro, Maurizio Gabbrielli:
Student Low Achievement Prediction. 737-742 - Lasang Jimba Tamang, Rabin Banjade, Jeevan Chapagain, Vasile Rus:
Automatic Question Generation for Scaffolding Self-explanations for Code Comprehension. 743-748 - Hatim Lahza, Hassan Khosravi, Gianluca Demartini:
Incorporating AI and Analytics to Derive Insights from E-exam Logs. 749-755 - Robert-Mihai Botarleanu, Mihai Dascalu, Laura K. Allen, Scott Andrew Crossley, Danielle S. McNamara:
Multitask Summary Scoring with Longformers. 756-761 - Huy Anh Nguyen, Zsofia K. Takacs, Eniko Orsolya Bereczki, J. Elizabeth Richey, Michael Mogessie Ashenafi, Bruce M. McLaren:
Investigating the Effects of Mindfulness Meditation on a Digital Learning Game for Mathematics. 762-767
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