-- Late-Breaking Results. -- A Schema-Based Approach to the Linkage of Multimodal Learning Sources with Generative AI. -- Towards A Human-in-the-Loop LLM Approach to Collaborative Discourse Analysis. -- G-Learn: A Graph Machine Learning Content Recommendation System for Virtual Learning Environments. -- Exploring the role, implementation, and educational implications of AI in Early Childhood Education. -- Eighth Graders and a Math Intelligent Tutoring System: A Deep Neural Network Analysis. -- Heuristic Technique To Find Optimal Learning Rate Of LSTM For Predicting Student Dropout Rate. -- Modeling Learner Memory Based on LSTM Autoencoder and Collaborative Filtering. -- Personalized Pedagogy through a LLM-based Recommender System. -- Role of Ethical and Responsible AI in Education for Next Generation Inventors. -- Collaborative Essay Evaluation with Human and Neural Graders using Item Response Theory under a Nonequivalent Groups Design. -- Exploring the Impact of Gender Stereotypes on Motivation, Flow State, and Learning Performance in a Gamified Tutoring System. -- Design Based Research of Multimodal Robotic Learning Companions. -- StyloAI: Distinguishing AI-Generated Content with Stylometric Analysis. -- Interpretable Methods for Early Prediction of Student Performance in Programming Courses. -- MOOCRev*: A Large-scale Data Repository for Course Reviews. -- Handwritten Equation Detection in Disconnected, Low-cost Mobile Devices. -- Predicting Academic Performance: A Comprehensive Electrodermal Activity Study. -- How Can Artificial Intelligence be Used in Creative Learning?: Cultural-Historical Activity Theory Analysis in Finnish Kindergarten. -- Enhancing the Analysis of Interdisciplinary Learning Quality with GPT Models: Fine-Tuning and Knowledge-Empowered Approaches. -- Knowledge Distillation of LLMs for Automatic Scoring of Science Assessments. -- Exploring the Usefulness of Open and Proprietary LLMs in Argumentative Writing Support. -- Good Fit Bad Policy: Why Fit Statistics are a Biased Measure of Knowledge Tracer Quality. -- Writing Analytics and AI for Special Education: Preliminary results on students with Autism Spectrum Disorder. -- Towards Automated Slide Augmentation to Discover Credible and Relevant Links. -- Learner Agency in Personalised Content Recommendation: Investigating Its Impact in Kenyan Pre-Primary Education. -- Interactive AI-Generated Virtual Instructors Enhance Learning Motivation and Engagement in Financial Education. -- A Turkish Educational Crossword Puzzle Generator. -- An Optimization Approach for Elementary School Handwritten Mathematical Expression Recognition. -- Can Large Language Models Generate Middle School Mathematics Explanations Better than Human Teachers?. -- System Dynamics through Qualitative Modeling in DynaLearn: Results from Research Conducted in a Brazilian High School Context. -- Unhappiness and Demotivation Among Students In Gamified Tutoring Systems: Toward Understanding the Gender Gap. -- A Web Application for a Cost-Effective Fine-tuning of Open-Source LLMs in Education. -- Research on Personalized Hybrid Recommendation System for English Word Learning. -- The Influence of Aesthetic Personalization on Gamified Learning: A Behavioral Analysis of Students' Interactions. -- Can AI assistance aid in the grading of handwritten answer sheets?. -- From Guidelines to Governance: A Study of AI Policies in Education. -- Task Synthesis for Elementary Visual Programming in XLogoOnline Environment. -- Towards Fair Detection of AI-Generated Essays in Large-Scale Writing Assessments. -- Doctoral Consortium. -- Designing and Evaluating Generative AI-Based Voice-Interaction Agents for Improving L2 Learners' Oral Communication Competence. -- Advancing High School Dropout Predictions Using Machine Learning. -- Predicting the structural parts of the plot on elementary school written essays. -- Promoting visual health and inclusive education in metaverse learning environments. -- Natural Language Processing for a Personalised Educational Experience in Virtual Reality. -- From "Giving a Fish" to "Teaching to Fish": Enhancing ITS Inner Loops with Large Language Models. -- The Effectiveness of AI Generated, On-Demand Assistance within Online Learning Platforms. -- Culturally Relevant Artificial Intelligence Education with Music for Secondary School Students. .-Virtual Reality(VR) in Safety Education: A Case Study of Mining Engineering. -- Prediction of essay cohesion in Portuguese based on item response theory in machine learning. -- Effects of generative artificial intelligence on instructional design outcomes and the mediating role of pre-service teachers' prior knowledge of different types of instructional design tasks. -- How could be used Student Comments for delivering feedback to Instructors in Higher Education?. -- An Augmented Intelligence Framework as an Enabler of Digital Transformation and Innovation in the Pedagogical Evaluation of the Brazilian National Textbook Program (PNLD). -- Reducing University Students' Exam Anxiety via Mindfulness-Based Cognitive Therapy in VR with Real-time EEG Neurofeedback. -- Workshops and Tutorials. -- AfricAIED 2024: 2nd Workshop on Artificial Intelligence in Education in Africa. -- The Learning Observer: A Prototype Platform for the Integration of Learning Data. -- Ethical AI and Education: The need for international regulation to foster human rights, democracy and the rule of law. -- Promoting Open Science in Artificial Intelligence: An Interactive Tutorial on Licensing, Data, and Containers. -- Adaptive Lifelong Learning. -- 7th edition of the International Workshop on Culturally-Aware Tutoring Systems (CATS2024). -- Hack Beyond the Code: Building a Toolbox of Human-Centred Strategies for AI Literacy. -- Workshop on Automatic Evaluation of Learning and Assessment Content. -- LAFe: Learning Analytics Solutions to Support On-Time Feedback.

This volume constitutes poster papers and late breaking results presented during the 25th International Conference on Artificial Intelligence in Education, AIED 2024, which took place in Recife, Brazil, during July 8-12, 2024. The 18 full papers and 92 short papers were carefully reviewed and selected from 200 submissions. They are organized in topical sections as follows: Part One: Blue Sky, Industry, Innovation and Practitioner, WideAIED and Late-Breaking Results. Part Two: Late-Breaking Results, Doctoral Consortium, Workshops and Tutorials.