-- A first step to using machine learning methods to enhance interaction analysis in embodied learning environments. -- "I am confused! How to differentiate between. . . ?" Adaptive Followup Questions Facilitate Tutor Learning with Effective Time-on-task. -- An Automatic Question Usability Evaluation Toolkit. -- Evaluating Behaviors of General Purpose Language Models in a Pedagogical Context. -- Federated Learning Analytics: Investigating the Privacy-Performance Trade-off in Machine Learning for Educational Analytics. -- Towards the automated generation of readily applicable personalised feedback in education. -- Identifying and Mitigating Algorithmic Bias in Student Emotional Analysis. -- Navigating Self-Regulated Learning Dimensions: Exploring Interactions Across Modalities. -- Real-World Deployment and Evaluation of Kwame for Science, An AI Teaching Assistant for Science Education in West Africa. -- ChatGPT for Education Research: Exploring the Potential of Large Language Models for Qualitative Codebook Development. -- Aligning Tutor Discourse Supporting Rigorous Thinking with Tutee Content Mastery for Predicting Math Achievement. -- Automated Educational Question Generation at Different Bloom's Skill Levels using Large Language Models: Strategies and Evaluation. -- VizChat: Enhancing Learning Analytics Dashboards with Contextualised Explanations using Multimodal Generative AI Chatbots. -- Affect Behavior Prediction: Using Transformers and Timing Information to Make Early Predictions of Student Exercise Outcome. -- To read or not to read: Predicting student engagement in interactive reading. -- How Well Can You Articulate that Idea? Insights from Automated Formative Assessment. -- Educational Content Personalization for Neurodiversity: A Survey of Technologies Supporting Linguistic Development in Individuals with Autism Spectrum Disorder (ASD). -- Beyond the Obvious Multi-Choice Options: Introducing a Toolkit for Distractor Generation Enhanced with NLI Filtering. -- Exploring the Potential of Automated and Personalized Feedback to Support Science Teacher Learning. -- Coding With AI: How Are Tools Like ChatGPT Being Used By Students In Foundational Programming Courses. -- Identifying Gaps In Students' Explanations of Code Using LLMs. -- A Multi-Task Automated Assessment System for Essay Scoring. -- Content Knowledge Identification with Multi-Agent Large Language Models (LLMs). -- Using knowledge graphs to improve question difficulty estimation from text. -- The Role of First Language in Automated Essay Grading for Second Language Writing. -- An Educational Psychology Inspired Approach to Student Interest Detection in Valence-Arousal Space. -- Agency in AI and Education Policy: European Resolution Three on Harnessing the Potential for AI in and Through Education. -- Nudging Adolescents Towards Recommended Maths Exercises With Gameful Rewards. -- A Learning Approach for Increasing AI Literacy Via XAI in Informal Settings. -- Aspect-based Semantic Textual Similarity for Educational Test Items. -- Adapting Emotional Support in Teams: Quality of Contribution, Emotional Stability and Conscientiousness. -- Predicting successful programming submissions based on critical logic blocks. -- Student At-Risk Identification and Classification through Multitask Learning: A Case Study on the Moroccan Education System. -- Investigating the Predictive Potential of Large Language Models in Student Dropout Prediction. -- Towards Automated Multiple Choice Question Generation and Evaluation: Aligning with Bloom's Taxonomy. -- Enhancing student dialogue productivity with learning analytics and fuzzy rules. -- HiTA: a RAG-based Educational Platform that Centers Educators in the Instructional Loop. -- Towards Convergence: Characterizing Students' Design Moves in Computational Modeling through Log Data with Video and Cluster Analysis. -- Mars, Minecraft, and AI: A Deep Learning Approach to Improve Learning by Building. -- Characterising Learning in Informal Settings using Deep Learning with Network Data. -- Exploring Teachers' Perception of Artificial Intelligence: The Socio-emotional Deficiency as Opportunities and Challenges in Human-AI Complementarity in K-12 Education. -- Who Pilots the Copilots? Mapping a generative AI's Actor-Network to assess its educational impacts.

This book constitutes the refereed proceedings of the 25th International Conference on Artificial Intelligence in Education, AIED 2024, held in Recife, Brazil, in July 8-12, 2024, Proceedings. The 49 full papers and 27 short papers presented in this book were carefully reviewed and selected from 334 submissions. The papers present result in high-quality research on intelligent systems and the cognitive sciences for the improvement and advancement of education. .