紀錄類型: |
書目-電子資源
: Monograph/item
|
正題名/作者: |
Artificial intelligence in education/ edited by Andrew M. Olney ... [et al.]. |
其他題名: |
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. |
其他題名: |
AIED 2024 |
其他作者: |
Olney, Andrew M. |
團體作者: |
International Conference on Artificial Intelligence in Education |
出版者: |
Cham :Springer Nature Switzerland : : 2024., |
面頁冊數: |
xxxi, 501 p. :ill. (some col.), digital ;24 cm. |
內容註: |
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. |
Contained By: |
Springer Nature eBook |
標題: |
Artificial intelligence - Educational applications - |
電子資源: |
https://doi.org/10.1007/978-3-031-64302-6 |
ISBN: |
9783031643026 |