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Full Papers

Full Papers

See Programme Overview – AIED2022 for updated Full Paper Schedule.

Slot #1
Session: Fairness and equity
Session Chair: Roberta Galici (Onsite)
Date: 28/07/2022
Time: 10:20-12:00 (BST)
Room: TLC042
IDTitleAuthors
265An Intelligent Interactive Support System for Word Usage Learning in Second LanguagesYo Ehara
158Experts’ View on Challenges and Needs for Fairness in Artificial Intelligence for EducationGianni Fenu, Roberta Galici and Mirko Marras
73Investigating the Effectiveness of Visual Learning Analytics in Active Video WatchingNegar Mohammadhassan and Tanja Mitrovic
221Educational Equity Through Combined Human-AI Personalization: A Propensity Matching EvaluationDanielle R. Chine, Cassandra Brentley, Carmen Thomas-Browne, J. Elizabeth Richey, Abdulmenaf Gul, Paulo F. Carvalho, Lee Branstetter and Kenneth R. Koedinger
Session: Curriculum and Instruction
Session Chair:
Date: 28/07/2022
Time: 10:20-12:00 (BST)
Room: TLC033
IDTitleAuthors
189CurriculumTutor: An adaptive algorithm for mastering a curriculumShabana K M and Chandrashekar Lakshminarayanan
50Preparing future learning with novel visuals by supporting representational competenciesJihyun Rho, Martina Rau and Barry Van Veen
87Debiasing Politically Motivated Reasoning with Value-Adaptive InstructionNicholas Diana, John Stamper, Kenneth Koedinger and Jessica Hammer
57Embodied Learning with Physical and Virtual Manipulatives in an Intelligent Tutor for ChemistryJoel Beier and Martina Rau
Slot #2
Session: Assessment
Session Chair: Alexandra Cristea (Onsite)
Date: 28/07/2022
Time: 15:20-17:00 (BST)
Room: TLC042
IDTitleAuthors
283A Basic Study on Growth Indicators Based on Qualitative Evaluation of Strokes in Drawing Works at Art EducationKanato Sugii, Takashi Nagai and Mizue Kayama
30A Causal Inference Study on the Effects of First Year Workload on the Dropout Rate of UndergraduatesMarzieh Karimi-Haghighi, Carlos Castillo and Davinia Hernández-Leo
134Machine learning techniques to evaluate lesson objectivesPei Hua Cher, Jason Wen Yau Lee and Fernando Bello
212Evaluating AI-Generated Questions: A Mixed-Methods Analysis Using Question Data and Student PerceptionsRachel Van Campenhout, Martha Hubertz and Benny Johnson
Session: Personalised Learning
Session Chair: Adam Linson (Onsite)
Date: 28/07/2022
Time: 15:20-17:00 (BST)
Room: TLC033
IDTitleAuthors
40Adaptive Scaffolding in Block-Based Programming via Synthesizing New Tasks as Pop QuizzesAhana Ghosh, Sebastian Tschiatschek, Sam Devlin and Adish Singla
257Scaling Mixed-Methods Formative Assessments (mixFA) in Classrooms: A Clustering Pipeline to Identify Student KnowledgeXinyue Chen and Xu Wang
51Leveraging Student Goal Setting for Real-Time Plan Recognition in Game Based LearningAlex Goslen, Dan Carpenter, Jonathan Rowe, Nathan Henderson, Roger Azevedo and James Lester
46Identifying student struggle by analyzing facial movement during asynchronous video lecture viewing: Towards an automated tool to support instructorsAdam Linson, Yucheng Xu, Andrea R. English and Robert B. Fisher
Slot #3
Session: AIED with Diversity
Session Chair: Maria Mercedes T. Rodrigo (Onsite)
Date: 29/07/2022
Time: 10:20-12:00 (BST)
Room: TLC042
IDTitleAuthors
66How do A/B Testing and secondary data analysis on AIED systems influence future research?Nidhi Nasiar, Ryan Baker, Jialian Li and Weiyi Gong
245Clustering Learner’s Metacognitive Judgement Accuracy and Bias to Explore Learning with AIEd SystemsMegan Wiedbusch, Nathan Sonnenfeld, Daryn Dever and Roger Azevedo
41Learning profiles to assess educational prediction systemsAmal Ben Soussia, Célina Treuillier, Azim Roussanaly and Anne Boyer
104Towards Human-like Educational Question Generation with Large Language ModelsZichao Wang, Jakob Valdez, Debshila Basu Mallick and Richard Baraniuk
Session: Large Scale AIED
Session Chairs: Anthony Botelho (Onsite), Zhuqian Zhou (Online)
Date: 29/07/2022
Time: 10:20-12:00 (BST)
Room: TLC033
IDTitleAuthors
143Combining Artificial Intelligence and Edge Computing to Reshape Distance Education : (Case Study: K-12 Learners)Chahrazed Labba, Rabie Ben-Atitallah and Anne Boyer
161Balancing Fined-tuned Machine Learning Models between Continuous and Discrete Variables – A Comprehensive Analysis using Educational DataEfthyvoulos Drousiotis, Panagiotis Pentaliotis, Lei Shi and Alexandra Cristea
177Deep Learning or Deep Ignorance? Comparing Untrained Recurrent Models in Educational ContextsAnthony F. Botelho, Ethan Prihar and Neil Heffernan
248Towards 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 PapersYipu Zheng, Zhuqian Zhou and Paulo Blikstein
Slot #4
Session: Towards Personalised Learning
Session Chair: Min Chi (Online)
Date: 29/07/2022
Time: 15:35-17:15 (BST)
Room: TLC113
IDTitleAuthors
260Student-Tutor Mixed-Initiative Decision-making Supported by Deep Reinforcement LearningSong Ju, Xi Yang, Tiffany Barnes and Min Chi
123Fully Automated Short Answer Scoring of the Trial Tests for Common Entrance Examinations for Japanese UniversityHaruki Oka, Hung Tuan Nguyen, Cuong Tuan Nguyen, Masaki Nakagawa and Tsunenori Ishioka
273Auxiliary Task Guided Interactive Attention Model for Question Difficulty PredictionVenktesh V, Md. Shad Akhtar, Mukesh Mohania and Vikram Goyal
179Fine-grained Main Ideas Extraction and Clustering of Online Course ReviewsChenghao Xiao, Lei Shi, Alexandra Cristea, Zhaoxing Li and Ziqi Pan
Session: AIED Beyond Classrooms
Session Chairs: Andrew Olney (Onsite), Samuel Pugh (Online)
Date: 29/07/2022
Time: 15:35-17:15 (BST)
Room: TLC033
IDTitleAuthors
181Assessing Readability by Filling Cloze Items with TransformersAndrew Olney
237Eye to Eye: Gaze Patterns Predict Remote Collaborative Problem Solving Behaviors in TriadsAngelina Abitino, Candace Peacock, Samuel Pugh and Sidney D’Mello
56Identifying and Comparing Multi-Dimensional Student Profiles across Flipped ClassroomsPaola Mejia-Domenzain, Mirko Marras, Christian Giang and Tanja Käser
6How to Give Imperfect Automated Guidance to Learners: A Case-Study in Workplace LearningJacob Whitehill and Amitai Erfanian
Slot #5
Session: Essay and Short Answer Grading 1
Session Chair: Mladen Raković (Onsite)
Date: 30/07/2022
Time: 10:20-12:00 (BST)
Room: TLC042
IDTitleAuthors
117Automated Evaluation of Legal Casenote EssaysMladen Rakovic, Lele Sha, Gerry Nagtzaam, Nick Young, Patrick Stratmann, Dragan Gasevic and Guanliang Chen
140Towards Generating Counterfactual Examples as Automatic Short Answer FeedbackAnna Filighera, Joel Tschesche, Tim Steuer, Thomas Tregel and Lisa Wernet
151Plausibility and Faithfulness of Feature Attribution-based Explanations in Automated Short Answer ScoringTasuku Sato, Hiroaki Funayama, Kazuaki Hanawa and Kentaro Inui
165“Teacher, Can you say it again?” Improving automatic speech recognition performance over classroom environments with limited dataDanner Schlotterbeck, Abelino Jimenez, Roberto Araya, Daniela Caballero, Pablo Uribe and Johan van der Molen
Session: Essay and Short Answer Grading 2
Session Chair: Megan Wiedbusch (Onsite)
Date: 30/07/2022
Time: 10:20-12:00 (BST)
Room: TLC033
IDTitleAuthors
218Representing scoring rubrics as graphs for automatic short answer gradingAubrey Condor, Zachary Pardos and Marcia Linn
242Improving Automated Evaluation of Formative Assessments with Text Data AugmentationKeith Cochran, Clayton Cohn, Nicole Hutchins, Gautam Biswas and Peter Hastings
271Balancing Cost and Quality: An Exploration of Human-in-the-loop Frameworks for Automated Short Answer ScoringHiroaki Funayama, Tasuku Sato, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki and Kentaro Inui
193Pedagogical Agent Support and its Relationship to Learners’ Self-regulated Learning Strategy Use with an Intelligent Tutoring SystemDaryn Dever, Nathan Sonnenfeld, Megan Wiedbusch and Roger Azevedo