4 citations · 9 across the 9 of their papers we have counts for
4 papers · 1 filter
E3Sense: Head-Confined Multimodal Sensing of Learner Engagement
Sidharth Anupkrishnan, Itir Sayar, Jeongah Lee +5
Engagement-aware learning systems could provide hints or adjust pacing when learners struggle. Prior engagement sensing work distributes sensors across or outside the body rather t…
Generative AI May Reinforce Social Biases in Software Engineering Education
Erfan Entezami, Andrew Lan, Madeline Endres
Generative artificial intelligence (GenAI) is increasingly being deployed across a wide range of real-world applications. Without careful evaluation, reliance on these systems can…
Programmers Are Poor and Overconfident Judges of LLM-Generated Assertions
Zhanna Kaufman, Yuriy Brun, Adithya Murali +1
Code comprehension and code review are already critically important software engineering tasks, and the rising use of AI code generation tools is only increasing that importance. G…
Biased or Personalized? The Impact of Personal Information on AI-driven Development
Erfan Entezami, Madeline Endres
Generative AI is increasingly permeating software engineering, enabling developers to generate functions, files, and even entire applications from natural language specifications.…