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
Herausgegeben:Olney, Andrew M.; Chounta, Irene-Angelica; Liu, Zitao; Santos, Olga C.; Bittencourt, Ig Ibert

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Communications in Computer and Information Science 2150
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-64314-9
• 2024
• Seitenzahl: 564
• Erscheinungstermin: 2. Juli 2024
• Englisch
• Abmessung: 235mm x 155mm x 31mm
• Gewicht: 844g
• ISBN-13: 9783031643149
• ISBN-10: 3031643143
• Artikelnr.: 70747495

Inhaltsangabe

.- 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 Children's Handwriting? An Analysis on Handwritten Mathematical Equation Recognition.

.- To Kill a Student's 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.