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25th AIED 2024: Recife, Brazil - Part II
- Andrew M. Olney
, Irene-Angelica Chounta
Artificial Intelligence in Education - 25th International Conference, AIED 2024, Recife, Brazil, July 8-12, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14830, Springer 2024, ISBN 978-3-031-64298-2
Full Papers
- Joyce Horn Fonteles
A First Step in Using Machine Learning Methods to Enhance Interaction Analysis for Embodied Learning Environments. 3-16 - Tasmia Shahriar
"I Am Confused! How to Differentiate Between...?" Adaptive Follow-Up Questions Facilitate Tutor Learning with Effective Time-On-Task. 17-30 - Steven Moore
An Automatic Question Usability Evaluation Toolkit. 31-46 - Shamya Karumbaiah
Evaluating Behaviors of General Purpose Language Models in a Pedagogical Context. 47-61 - Max van Haastrecht
Federated Learning Analytics: Investigating the Privacy-Performance Trade-Off in Machine Learning for Educational Analytics. 62-74 - Zhiping Liang, Lele Sha, Yi-Shan Tsai, Dragan Gasevic, Guanliang Chen:
Towards the Automated Generation of Readily Applicable Personalised Feedback in Education. 75-88 - T. S. Ashwin
Identifying and Mitigating Algorithmic Bias in Student Emotional Analysis. 89-103 - Paola Mejia-Domenzain
Navigating Self-regulated Learning Dimensions: Exploring Interactions Across Modalities. 104-118 - George Boateng, Samuel John, Samuel Boateng, Philemon Badu, Patrick Agyeman-Budu, Victor Wumbor-Apin Kumbol:
Real-World Deployment and Evaluation of Kwame for Science, an AI Teaching Assistant for Science Education in West Africa. 119-133 - Amanda Barany
ChatGPT for Education Research: Exploring the Potential of Large Language Models for Qualitative Codebook Development. 134-149 - Mark Abdelshiheed, Jennifer Jacobs, Sidney K. D'Mello:
Aligning Tutor Discourse Supporting Rigorous Thinking with Tutee Content Mastery for Predicting Math Achievement. 150-164 - Nicy Scaria
Automated Educational Question Generation at Different Bloom's Skill Levels Using Large Language Models: Strategies and Evaluation. 165-179 - Lixiang Yan, Linxuan Zhao, Vanessa Echeverría, Yueqiao Jin, Riordan Alfredo, Xinyu Li, Dragan Gasevic, Roberto Martínez Maldonado:
VizChat: Enhancing Learning Analytics Dashboards with Contextualised Explanations Using Multimodal Generative AI Chatbots. 180-193 - Hao Yu, Danielle A. Allessio, William Rebelsky, Tom Murray, John J. Magee, Ivon Arroyo, Beverly P. Woolf, Sarah Adel Bargal, Margrit Betke
Affect Behavior Prediction: Using Transformers and Timing Information to Make Early Predictions of Student Exercise Outcome. 194-208 - Beata Beigman Klebanov, Jonathan Weeks, Sandip Sinharay:
To Read or Not to Read: Predicting Student Engagement in Interactive Reading. 209-222
Short Papers
- Mahsa Sheikhi Karizaki, Dana Gnesdilow, Sadhana Puntambekar, Rebecca J. Passonneau
How Well Can You Articulate that Idea? Insights from Automated Formative Assessment. 225-233 - Keylla Ramos Saes
Educational Content Personalization for Neurodiversity: A Survey of Technologies Supporting Linguistic Development in Individuals with Autism Spectrum Disorder (ASD). 234-241 - Andreea-Nicoleta Dutulescu, Stefan Ruseti, Denis Iorga, Mihai Dascalu, Danielle S. McNamara:
Beyond the Obvious Multi-choice Options: Introducing a Toolkit for Distractor Generation Enhanced with NLI Filtering. 242-250 - Jamie N. Mikeska
Exploring the Potential of Automated and Personalized Feedback to Support Science Teacher Learning. 251-258 - Aashish Ghimire, John Edwards:
Coding with AI: How Are Tools Like ChatGPT Being Used by Students in Foundational Programming Courses. 259-267 - Rabin Banjade
Identifying Gaps in Students' Explanations of Code Using LLMs. 268-275 - Shigeng Chen
A Multi-task Automated Assessment System for Essay Scoring. 276-283 - Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu:
Content Knowledge Identification with Multi-agent Large Language Models (LLMs). 284-292 - Enrico Gherardi, Luca Benedetto
Using Knowledge Graphs to Improve Question Difficulty Estimation from Text. 293-301 - Haerim Hwang
The Role of First Language in Automated Essay Grading for Second Language Writing. 302-310 - R. Yamamoto Ravenor
An Educational Psychology Inspired Approach to Student Interest Detection in Valence-Arousal Space. 311-318 - Camila Hidalgo
Agency in AI and Education Policy: European Resolution Three on Harnessing the Potential for AI in and Through Education. 319-327 - Jeroen Ooge
Nudging Adolescents Towards Recommended Maths Exercises with Gameful Rewards. 328-335 - Mira Sneirson, Josephine Chai, Iris Howley
A Learning Approach for Increasing AI Literacy via XAI in Informal Settings. 336-343 - Heejin Do
Aspect-Based Semantic Textual Similarity for Educational Test Items. 344-352 - Isabella Saccardi, Judith Masthoff:
Adapting Emotional Support in Teams: Quality of Contribution, Emotional Stability and Conscientiousness. 353-362 - Ka Weng Pan, Bryn Jeffries, Irena Koprinska:
Predicting Successful Programming Submissions Based on Critical Logic Blocks. 363-371 - Ismail Elbouknify
Student At-Risk Identification and Classification Through Multitask Learning: A Case Study on the Moroccan Education System. 372-380 - Abdelghafour Aboukacem
Investigating the Predictive Potential of Large Language Models in Student Dropout Prediction. 381-388 - Kevin Hwang
Towards Automated Multiple Choice Question Generation and Evaluation: Aligning with Bloom's Taxonomy. 389-396 - Adelson de Araujo, Jara Martens, Pantelis M. Papadopoulos:
Enhancing Student Dialogue Productivity with Learning Analytics and Fuzzy Rules. 397-404 - Chang Liu
HiTA: A RAG-Based Educational Platform that Centers Educators in the Instructional Loop. 405-412 - Adelmo Eloy
Towards Convergence: Characterizing Students' Design Moves in Computational Modeling Through Log Data with Video and Cluster Analysis. 413-421 - Samuel Hum, Evan Shipley, Matt Gadbury, H. Chad Lane, Jeffrey Ginger:
Mars, Minecraft, and AI: A Deep Learning Approach to Improve Learning by Building. 422-430 - Simon Krukowski
Characterising Learning in Informal Settings Using Deep Learning with Network Data. 431-438 - Soon-young Oh
Exploring Teachers' Perception of Artificial Intelligence: The Socio-emotional Deficiency as Opportunities and Challenges in Human-AI Complementarity in K-12 Education. 439-447 - Francesco Balzan
Who Pilots the Copilots? - Mapping a Generative AI's Actor-Network to Assess Its Educational Impacts. 448-456
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