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Home > Computing and Information Technology > Computer science > Artificial intelligence > Artificial Intelligence in Education: 25th International Conference, AIED 2024, Recife, Brazil, July 8–12, 2024, Proceedings, Part II(14830 Lecture Notes in Computer Science)
Artificial Intelligence in Education: 25th International Conference, AIED 2024, Recife, Brazil, July 8–12, 2024, Proceedings, Part II(14830 Lecture Notes in Computer Science)

Artificial Intelligence in Education: 25th International Conference, AIED 2024, Recife, Brazil, July 8–12, 2024, Proceedings, Part II(14830 Lecture Notes in Computer Science)


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About the Book

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.



Table of Contents:
.- 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.


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Product Details
  • ISBN-13: 9783031642982
  • Publisher: Springer International Publishing AG
  • Publisher Imprint: Springer International Publishing AG
  • Height: 235 mm
  • No of Pages: 461
  • Returnable: N
  • Series Title: 14830 Lecture Notes in Computer Science
  • Width: 155 mm
  • ISBN-10: 3031642988
  • Publisher Date: 02 Jul 2024
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Series Title: 14830 Lecture Notes in Computer Science
  • Sub Title: 25th International Conference, AIED 2024, Recife, Brazil, July 8–12, 2024, Proceedings, Part II


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Artificial Intelligence in Education: 25th International Conference, AIED 2024, Recife, Brazil, July 8–12, 2024, Proceedings, Part II(14830 Lecture Notes in Computer Science)
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Artificial Intelligence in Education: 25th International Conference, AIED 2024, Recife, Brazil, July 8–12, 2024, Proceedings, Part II(14830 Lecture Notes in Computer Science)
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