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: Communications in Computer and Information Science, cartea 2150
Editat de Andrew M. Olney, Irene-Angelica Chounta, Zitao Liu, Olga C. Santos, Ig Ibert Bittencourten Limba Engleză Paperback – 2 iul 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.
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Specificații
ISBN-13: 9783031643149
ISBN-10: 3031643143
Ilustrații: XLVII, 515 p. 109 illus., 81 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Communications in Computer and Information Science
Locul publicării:Cham, Switzerland
ISBN-10: 3031643143
Ilustrații: XLVII, 515 p. 109 illus., 81 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Communications in Computer and Information Science
Locul publicării:Cham, Switzerland
Cuprins
.- 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.
.- 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.