1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
Mastery Guided Non-parametric Clustering to Scale-up Strategy Prediction
Anup Shakya, Vasile Rus, Deepak Venugopal
Predicting the strategy (sequence of concepts) that a student is likely to use in problem-solving helps Adaptive Instructional Systems (AISs) better adapt themselves to different t…
The Behavior of Large Language Models When Prompted to Generate Code Explanations
Priti Oli, Rabin Banjade, Jeevan Chapagain +1
This paper systematically investigates the generation of code explanations by Large Language Models (LLMs) for code examples commonly encountered in introductory programming course…