Artificial Intelligence in Education -

Artificial Intelligence in Education

25th International Conference, AIED 2024, Recife, Brazil, July 8–12, 2024, Proceedings, Part I
Buch | Softcover
XXXI, 501 Seiten
2024 | 2024
Springer International Publishing (Verlag)
978-3-031-64301-9 (ISBN)
85,59 inkl. MwSt

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 results in high-quality research on intelligent systems and the cognitive sciences for the improvement and advancement of education. 

.- From Learning Actions to Dynamics: Characterizing Students' Individual Temporal Behavior with Sequence Analysis.

.- Explainable Automatic Grading with Neural Additive Models.

.- PBChat: Enhance Student's Problem Behavior Diagnosis with Large Language Model.

.- Generating Situated Reflection Triggers About Alternative Solution Paths: A Case Study in Generative AI for Computer-Supported Collaborative Learning .

.- Automated Assessment of Encouragement and Warmth in Classrooms Leveraging Multimodal Emotional Features and ChatGPT.

.- Ruffle&Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System.

.- Knowledge Tracing Unplugged: From Data Collection to Model Deployment.

.- Grading Documentation with Machine Learning.

.- Supporting Teaching-to-the-Curriculum by Linking Diagnostic Tests to Curriculum Goals: Using Textbook Content as Context for Retrieval-Augmented Generation with Large Language Models.

.- VerAs: Verify then Assess STEM Lab Reports.

.- Evaluating the Effectiveness of Comparison Activities in a CTAT Tutor for Algorithmic Thinking.

.- Automated Long Answer Grading with RiceChem Dataset.

.- Knowledge Tracing as Language Processing: A Large-scale
Autoregressive Paradigm.

.- Can GPT4 Answer Educational Tests? Empirical Analysis of Answer Quality based on Question Complexity and Difficulty.

.- Understanding Gender Effects in Game-Based Learning: The Role of Self-Explanation.

.- Calcium regulation assignment: Alternative styles in successfully learning about biological mechanisms.

.- Who's helping who? When students use ChatGPT to engage in practice lab sessions.

.- Deep-IRT with a temporal convolutional network for reflecting students' long-term history of ability data.

.- How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging.

.- Improving the Validity of Automatically Generated Feedback via Reinforcement Learning.

.- Automatic Detection of Narrative Rhetorical Categories and Elements on Middle School Written Essays.

.- Marking: Visual Grading with Highlighting Errors and Annotating Missing Bits.

.- Jill Watson: A Virtual Teaching Assistant powered by ChatGPT.

.- Evaluating the Design Features of an Intelligent Tutoring System for Advanced Mathematics Learning.

.- Anticipating Student Abandonment and Failure: Predictive Models in High School Settings.

.- Beyond the Grey Area: Exploring the Effectiveness of Scaffolding as a Learning Measure.

.- Fairness of MOOC Completion Predictions Across Demographics and Contextual Variables.

.- EngageME: Exploring Neuropsychological Tests for Assessing Attention in Online Learning.

.- The Neglected 15%: Positive Effects of Hybrid Human-AI Tutoring Among Students with Disabilities.

.- Fine-tuning a Large Language Model with Reinforcement Learning for Educational Question Generation.

.- On Cultural Intelligence in LLM-based Chatbots: Implications for Artificial Intelligence in Education.

.- Leveraging Large Language Models for Automated Chinese Essay Scoring.

.- The Unexpected Effects of Google Smart Compose on Open-Ended Writing Tasks.

.- Teaching and Measuring Multidimensional Inquiry Skills using Interactive Simulations.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Artificial Intelligence
Lecture Notes in Computer Science
Zusatzinfo XXXI, 501 p. 120 illus., 97 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Collaborative Learning • computer-assisted instruction • Data Mining • E-Learning • Interactive Learning Environments • Knowledge Representation and Reasoning • machine learning • Natural Language Processing • Probabilistic Reasoning • Reinforcement Learning • Semantic networks • supervised learning • Unsupervised Learning
ISBN-10 3-031-64301-1 / 3031643011
ISBN-13 978-3-031-64301-9 / 9783031643019
Zustand Neuware
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