2 citations · 2 across the 5 of their papers we have counts for
5 papers
Planning on Paper: Problem Decomposition with Diagrams in Introductory Computing
Annapurna Vadaparty, Devamardeep Hayatpur, Adalbert Gerald Soosai Raj +2
Background and Context. Problem decomposition is a core concern of computing education. It has also become increasingly relevant: in response to GenAI, many CS1 educators are advoc…
Evolution of Programmers' Trust in Generative AI Programming Assistants
Anshul Shah, Thomas Rexin, Elena Tomson +3
Motivation. Trust in generative AI programming assistants is a vital attitude that impacts how programmers use those programming assistants. Programmers that are over-trusting may…
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…
CS1-LLM: Integrating LLMs into CS1 Instruction
Annapurna Vadaparty, Daniel Zingaro, David H. Smith +4
The recent, widespread availability of Large Language Models (LLMs) like ChatGPT and GitHub Copilot may impact introductory programming courses (CS1) both in terms of what should b…