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Found 6 papers, 1 papers with code
Opportunities for Adaptive Experiments to Enable Continuous Improvement that Trades-off Instructor and Researcher Incentives
In adaptive experiments, as different arms/conditions are deployed to students, data is analyzed and used to change the experience for future students.
Impact of Guidance and Interaction Strategies for LLM Use on Learner Performance and Perception
Personalized chatbot-based teaching assistants can be crucial in addressing increasing classroom sizes, especially where direct teacher presence is limited.
ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models
Exploring alternative ideas by rewriting text is integral to the writing process.
Detecting LLM-Generated Text in Computing Education: A Comparative Study for ChatGPT Cases
The purpose of this work is to inform the community of what LLM-generated text detectors work and which do not, but also to provide insights for educators to better maintain academic integrity in their courses.
Increasing Students' Engagement to Reminder Emails Through Multi-Armed Bandits
We highlight problems with these adaptive algorithms - such as possible exploitation of an arm when there is no significant difference - and address their causes and consequences.
Deep Camera Pose Regression Using Pseudo-LiDAR
By proving the validity of using pseudo-LiDAR signals over depth maps for localization, there are new considerations when implementing large-scale localization systems.
