Artificial Intelligence in 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