08001nam a22006615i 4500 978-3-031-64299-9 DE-He213 20251030112345.0 cr nn 008mamaa 240701s2024 sz | s |||| 0|eng d 9783031642999 978-3-031-64299-9 10.1007/978-3-031-64299-9 doi Q334-342 TA347.A78 UYQ bicssc COM004000 bisacsh UYQ thema Artificial Intelligence in Education [electronic resource] : 25th International Conference, AIED 2024, Recife, Brazil, July 8–12, 2024, Proceedings, Part II / edited by Andrew M. Olney, Irene-Angelica Chounta, Zitao Liu, Olga C. Santos, Ig Ibert Bittencourt. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XXXII, 461 p. 98 illus., 80 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Artificial Intelligence, 2945-9141 ; 14830 -- 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. 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. . Artificial intelligence. 58441 Database management. 60571 Data mining. 6941 User interfaces (Computer systems). 64688 Human-computer interaction. 64854 Education Data processing. Artificial Intelligence. 58441 Database Management. 60571 Data Mining and Knowledge Discovery. User Interfaces and Human Computer Interaction. 66577 Computers and Education. Olney, Andrew M. editor. (orcid)0000-0003-4204-6667 https://orcid.org/0000-0003-4204-6667 edt http://id.loc.gov/vocabulary/relators/edt 79750 Chounta, Irene-Angelica. editor. (orcid)0000-0001-9159-0664 https://orcid.org/0000-0001-9159-0664 edt http://id.loc.gov/vocabulary/relators/edt 71011 Liu, Zitao. editor. (orcid)0000-0003-0491-307X https://orcid.org/0000-0003-0491-307X edt http://id.loc.gov/vocabulary/relators/edt 79751 Santos, Olga C. editor. (orcid)0000-0002-9281-4209 https://orcid.org/0000-0002-9281-4209 edt http://id.loc.gov/vocabulary/relators/edt 79752 Bittencourt, Ig Ibert. editor. (orcid)0000-0001-5676-2280 https://orcid.org/0000-0001-5676-2280 edt http://id.loc.gov/vocabulary/relators/edt 79753 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031642982 Printed edition: 9783031643002 Lecture Notes in Artificial Intelligence, 2945-9141 ; 14830 https://doi.org/10.1007/978-3-031-64299-9 ZDB-2-SCS ZDB-2-SXCS ZDB-2-LNC 61215 61215