4 citations · 11 across the 12 of their papers we have counts for
3 papers · 1 filter
Decomposing the Doer Effect in Programming Practice: Code Writing Stands Out Among Active Practice
Arun Balajiee Lekshmi Narayanan, Gillian Gold, Jordan Barria-Pineda +3
The "doer effect" suggests that actively doing practice activities is more strongly associated with learning outcomes than passively viewing content. In the doer effect literature,…
Evaluating the Quality of Code Comments Generated by Large Language Models for Novice Programmers
Aysa Xuemo Fan, Arun Balajiee Lekshmi Narayanan, Mohammad Hassany +1
Large Language Models (LLMs) show promise in generating code comments for novice programmers, but their educational effectiveness remains under-evaluated. This study assesses the i…
Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge
Arunkaleeshwaran Narayanan, Nima Shiri harzevili, Junjie Wang +3
Many automatic unit test generation tools that can generate unit test cases with high coverage over a program have been proposed. However, most of these tools are ineffective on de…