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会议文集
文集名
Artificial Intelligence in Education
会议名
25th International Conference on Artificial Intelligence in Education (AIED 2024)
中译名
《第二十五届国际教育中的人工智能会议,卷1》
会议日期
July 8-12, 2024
会议地点
Recife, Brazil
出版年
2024
馆藏号
352903
题名
作者
出版年
From Learning Actions to Dynamics: Characterizing Students' Individual Temporal Behavior with Sequence Analysis
Esteban Villalobos; Mar Perez-Sanagustin; Julien Broisin
2024
Explainable Automatic Grading with Neural Additive Models
Aubrey Condor; Zachary Pardos
2024
PBChat: Enhance Student's Problem Behavior Diagnosis with Large Language Model
Penghe Chen; Zhilin Fan; Yu Lu; Qi Xu
2024
Generating Situated Reflection Triggers About Alternative Solution Paths: A Case Study of Generative AI for Computer-Supported Collaborative Learning
Atharva Naik; Jessica Ruhan Yin; Anusha Kamath; Qianou Ma; Sherry Tongshuang Wu; Charles Murray; Christopher Bogart; Majd Sakr; Carolyn P. Rose
2024
Automated Assessment of Encouragement and Warmth in Classrooms Leveraging Multimodal Emotional Features and ChatGPT
Ruikun Hou; Tim Futterer; Babette Buhler; Efe Bozkir; Peter Gerjets; Ulrich Trautwein; Enkelejda Kasneci
2024
Ruffle&Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System
Robin Schmucker; Meng Xia; Amos Azaria; Tom Mitchell
2024
Knowledge Tracing Unplugged: From Data Collection to Model Deployment
Luiz Rodrigues; Anderson P. Avila-Santos; Thomaz E. Silva; Rodolfo S. da Penha; Carlos Neto; Geiser Challco; Ermesson L. dos Santos; Everton Souza; Guilherme Guerino; Thales Vieira; Marcelo Marinho; Valmir Macario; Ig Ibert Bittencourt; Diego Dermeval; Seiji Isotani
2024
Grading Documentation with Machine Learning
Marcus Messer; Miaojing Shi; Neil C. C. Brown; Michael Kolling
2024
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
Xiu Li; Aron Henriksson; Martin Duneld; Jalal Nouri; Yongchao Wu
2024
VerAs: Verify Then Assess STEM Lab Reports
Berk Atil; Mahsa Sheikhi Karizaki; Rebecca J. Passonneau
2024
Evaluating the Effectiveness of Comparison Activities in a CTAT Tutor for Algorithmic Thinking
Amanda Keech; Kasia Muldner
2024
Automated Long Answer Grading with RiceChem Dataset
Shashank Sonkar; Kangqi Ni; Lesa Tran Lu; Kristi Kincaid; John S. Hutchinson; Richard G. Baraniuk
2024
Knowledge Tracing as Language Processing: A Large-Scale Autoregressive Paradigm
Bojun Zhan; Teng Guo; Xueyi Li; Mingliang Hou; Qianru Liang; Boyu Gao; Weiqi Luo; Zitao Liu
2024
Can GPT4 Answer Educational Tests? Empirical Analysis of Answer Quality Based on Question Complexity and Difficulty
Luiz Rodrigues; Filipe Dwan Pereira; Luciano Cabral; Geber Ramalho; Dragan Gasevic; Rafael Ferreira Mello
2024
Understanding Gender Effects in Game-Based Learning: The Role of Self-Explanation
J. Elizabeth Richey; Huy A. Nguyen; Mahboobeh Mehrvarz; Nicole Else-Quest; Ivon Arroyo; Ryan S. Baker; Hayden Stec; Jessica Hammer; Bruce M. McLaren
2024
Calcium Regulation Assignment: Alternative Styles in Successfully Learning About Biological Mechanisms
Marco Kragten; Bert Bredeweg
2024
Who's Helping Who? When Students Use ChatGPT to Engage in Practice Lab Sessions
Jerome Brender; Laila El-Hamamsy; Francesco Mondada; Engin Bumbacher
2024
Deep-IRT with a Temporal Convolutional Network for Reflecting Students' Long-Term History of Ability Data
Emiko Tsutsumi; Tetsurou Nishio; Maomi Ueno
2024
How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging
Qianou Ma; Hua Shen; Kenneth Koedinger; Sherry Tongshuang Wu
2024
Improving the Validity of Automatically Generated Feedback via Reinforcement Learning
Alexander Scarlatos; Digory Smith; Simon Woodhead; Andrew Lan
2024
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