565 citations · 594 across the 6 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.CY2024
Can LLMs Identify Gaps and Misconceptions in Students' Code Explanations?
Priti Oli, Rabin Banjade, Andrew M. Olney +1
This paper investigates various approaches using Large Language Models (LLMs) to identify gaps and misconceptions in students' self-explanations of specific instructional material,…
cs.CY2024
Explaining Code Examples in Introductory Programming Courses: LLM vs Humans
Arun-Balajiee Lekshmi-Narayanan, Priti Oli, Jeevan Chapagain +4
Worked examples, which present an explained code for solving typical programming problems are among the most popular types of learning content in programming classes. Most approach…