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| Link zu diesem Datensatz | https://d-nb.info/133484027X |
| Titel | Artificial Intelligence in Education : 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 |
| Person(en) |
Olney, Andrew M. (Herausgeber) Chounta, Irene-Angelica (Herausgeber) Liu, Zitao (Herausgeber) Santos, Olga C. (Herausgeber) Bittencourt, Ig Ibert (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2024 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2024 |
| Umfang/Format | Online-Ressource, XXXII, 461 p. 98 illus., 80 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-64298-2 Printed edition:: ISBN: 978-3-031-64300-2 |
| Inhalt | -- 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 |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2407040517240.816863088617 DOI: 10.1007/978-3-031-64299-9 |
| URL | https://doi.org/10.1007/978-3-031-64299-9 |
| ISBN/Einband/Preis | 978-3-031-64299-9 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Artificial Intelligence ; 14830 |
| Sachgruppe(n) | 370 Erziehung, Schul- und Bildungswesen |
| Online-Zugriff | Archivobjekt öffnen |
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