8 papers
Exploring the Design Space of LLM-Based Programming Support in CS Education: A Scoping Review through the Lens of Assistance Governance
Minsun Kim, S. Moonwara A. Monisha, Zihan Wu +1
As large language models (LLMs) become integrated into programming education, learner-facing systems increasingly differ in how that assistance is bounded, enacted, and controlled.…
Drawing Your Programs: Exploring the Applications of Visual-Prompting with GenAI for Teaching and Assessment
David H. Smith, S. Moonwara A. Monisha, Annapurna Vadaparty +2
When designing a program, both novice programmers and seasoned developers alike often sketch out -- or, perhaps more famously, whiteboard -- their ideas. Yet despite the introducti…
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…
Choose Your Own Solution: Supporting Optional Blocks in Block Ordering Problems
Skyler Oakeson, David H. Smith, Jaxton Winder +1
This paper extends the functionality of block ordering problems (such as Parsons problems and Proof Blocks) to include optional blocks. We detail the algorithms used to implement t…
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…