2 citations · 2 across the 2 of their papers we have counts for
4 papers
Assessing Problem Decomposition in CS1 for the GenAI Era
Samvrit Srinath, Annapurna Vadaparty, David H. Smith +2
Problem decomposition--the ability to break down a large task into smaller, well-defined components--is a critical skill for effectively designing and creating large programs, but…
Integrating Large Language Models and Evaluating Student Outcomes in an Introductory Computer Science Course
Annapurna Vadaparty, David H. Smith, Samvrit Srinath +5
Generative AI (GenAI) models have broad implications for education in general, impacting the foundations of what we teach and how we assess. This is especially true in computing, w…
Exploring Student-AI Interactions in Vibe Coding
Francis Geng, Anshul Shah, Haolin Li +5
Background and Context. Chat-based and inline-coding-based GenAI has already had substantial impact on the CS Education community. The recent introduction of ``vibe coding'' may fu…
Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools
James Prather, Juho Leinonen, Natalie Kiesler +12
Generative AI (GenAI) is advancing rapidly, and the literature in computing education is expanding almost as quickly. Initial responses to GenAI tools were mixed between panic and…