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E-grāmata: Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky: 25th International Conference, AIED 2024, Recife, Brazil, July 8-12, 2024, Proceedings, Part I

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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 812, 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.
.- Blue Sky.



.- Aligning AIED Systems to Embodied Cognition and Learning Theories.



.- Ethical AIED and AIED Ethics: Toward Synergy Between AIED Research and
Ethical Frameworks.



.- Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems
and the Learning Sciences.



.- Flowing through Virtual Realms: Leveraging Artificial Intelligence for
Immersive Educational Environments.



.- Industry, Innovation and Practitioner.



.- The Impact of Example Selection in Few-shot Prompting on Automated Essay
Scoring Using GPT Models.



.- Bringing AIED, Public Policy and GDPR To Promote Educational Opportunities
in Brazil.



.- Towards Explainable Authorship Verification: An Approach to Minimise
Academic Misconduct in Higher Education.



.- AI in K-12 Social Studies Education: A Critical Examination of Ethical and
Practical Challenges.



.- Enhancing Programming Education with ChatGPT: A Case Study on Student
Perceptions and Interactions in a Python Course.



.- LANSE: A cloud-powered learning analytics platform for the automated
identification of students at risk in learning management systems.



.- Parsing Post-Deployment Students Feedback: Towards a StudentCentered
Intelligent Monitoring System to Support Self-Regulated Learning.



.- How Do Strategies for Using ChatGPT Affect Knowledge Comprehension?.



.- Automatic Lesson Plan Generation via Large Language Models with
Self-Critique Prompting.



.- Systematic Needs Analysis of Advanced Digital Skills for Postgraduate
Computing Education: The DIGITAL4Business Case.



.- WideAIED.



.- Predictive Model of School Dropout Based on Undergraduate Course
Self-Assessment Data.



.- Expectations of higher education teachers regarding the use of AI in
education.



.- Brilla AI: AI Contestant for the National Science and Maths Quiz.



.- Exploring NLP and Embedding for Automatic Essay Scoring in the
Portuguese.



.- Enhancing General Reading Understanding: measuring foundational reading
skills relevance.



.- Gendered Responses to AI Governance: Insights from a Quantitative National
Survey on ChatGPT Usage Among Students and Educators.



.- Global trends in scientific debates on trustworthy and ethical Artificial
Intelligence and education.



.- ChatGPT-based Virtual Standardized Patient that Amends Overly Detailed
Responses in Objective Structured Clinical Examinations.



.- Contextual Features for Automatic Essay Scoring in Portuguese.



.- Breaking the Cycle: AI Boosting Communication Skills of Low-Income
Students in Brazil.



.- Late-Breaking Results.



.- Towards Human-like Educational Question Generation with Small Language
Models.



.- Large Language Models for Career Readiness Prediction.



.- Difficulty-Controllable Multiple-Choice Question Generation for Reading
Comprehension Using Item Response Theory.



.- Can VLM Understand Childrens Handwriting? An Analysis on Handwritten
Mathematical Equation Recognition.



.- To Kill a Students Disengagement: Personalized Engagement Detection in
Facial Video.



.- Automated Detection and Analysis of Gaming the System in Novice
Programmers.



.- Implementation and evaluation of impact on student learning of an
automated platform to score and provide feedback on constructed-response
problems in chemistry.



.- An Interpretable Approach to Identify Performance Indicators within
Unstructured Learning Environments.



.- Masked Autoencoder Transformer for Missing Data Imputation of PISA.



.- Effective and Scalable Math Support: Experimental Evidence on the Impact
of an AI-Math Tutor in Ghana.



.- Interpret3C: Interpretable Student Clustering Through Individualized
Feature Selection.



.- Recurrent Neural Collaborative Filtering for Knowledge Tracing.



.- EDEN: Enhanced Database Expansion in eLearning: A Method for Automated
Generation of Academic Videos.



.- Automatic Short-Answer Grading in College Mathematics Using In-context
Meta-learning: An Evaluation of the Transferability of Findings.



.- Enhancing Algorithmic Fairness in Student Performance Prediction through
Unbiased and Equitable Machine Learning Models.



.- Leveraging GPT-4 for Accuracy in Education: A Comparative Study on
Retrieval-Augmented Generation in MOOCs.



.- A Personalized Multi-region Perception Network for Learner Facial
Expression Recognition in Online Learning.



.- Neural Automated Essay Scoring for Improved Confidence Estimation and
Score Prediction through Integrated Classification and Regression.



.- An Intelligent System for Chinese Dance Creation using Generative
Artificial Intelligence.



.- Leveraging Language Models and Audio-Driven Dynamic Facial Motion
Synthesis: A New Paradigm in AI-Driven Interview Training.



.- Potential Pitfalls of False Positives.



.- Predictive Modelling with the Open University Learning Analytics Dataset
(OULAD): A Systematic Literature Review.



.- GAMAI, an AI-powered Programming Exercise Gamifier tool.



.- Generating Contextualized Mathematics Multiple-Choice Questions Utilizing
Large Language Models.



.- Generative AI in K-12: Opportunities for Learning and Utility for Teachers.