4 citations · 9 across the 9 of their papers we have counts for
10 papers
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.…
Training Spatial Ability in Virtual Reality
Yiannos Demetriou, Manasvi Parikh, Sara Eskandari +2
Background: Spatial reasoning has been identified as a critical skill for success in STEM. Unfortunately, under-represented groups often have lower incoming spatial ability. Course…
High Expectations: An Observational Study of Programming and Cannabis Intoxication
Wenxin He, Manasvi Parikh, Westley Weimer +1
Anecdotal evidence of cannabis use by professional programmers abounds. Recent studies have found that some professionals regularly use cannabis while programming even for work-rel…
Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions?
Madeline Endres, Sarah Fakhoury, Saikat Chakraborty +1
Informal natural language that describes code functionality, such as code comments or function documentation, may contain substantial information about a programs intent. However,…
From Organizations to Individuals: Psychoactive Substance Use By Professional Programmers
Kaia Newman, Madeline Endres, Brittany Johnson +1
Psychoactive substances, which influence the brain to alter perceptions and moods, have the potential to have positive and negative effects on critical software engineering tasks.…
Hashing It Out: A Survey of Programmers' Cannabis Usage, Perception, and Motivation
Madeline Endres, Kevin Boehnke, Westley Weimer
Cannabis is one of the most common mind-altering substances. It is used both medicinally and recreationally and is enmeshed in a complex and changing legal landscape. Anecdotal evi…
Relating Reading, Visualization, and Coding for New Programmers: A Neuroimaging Study
Madeline Endres, Zachary Karas, Xiaosu Hu +2
Understanding how novices reason about coding at a neurological level has implications for training the next generation of software engineers. In recent years, medical imaging has…