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researcher

David Weintrop

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.HC3
ORCID 0000-0002-3009-3899

identity via Semantic Scholar / OpenAlex

most citedStudying the effect of AI Code Generators on Supporting Novice Learners in Introductory Programming

338 citations · 355 across the 3 of their papers we have counts for

collaborators

3 papers

cs.HC2023★ 9 cited

How Novices Use LLM-Based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning Environment

Majeed Kazemitabaar, Xinying Hou, Austin Henley +3

As Large Language Models (LLMs) gain in popularity, it is important to understand how novice programmers use them. We present a thematic analysis of 33 learners, aged 10-17, indepe…

cs.HC2023★ 338 cited

Studying the effect of AI Code Generators on Supporting Novice Learners in Introductory Programming

Majeed Kazemitabaar, Justin Chow, Carl Ka To Ma +3

AI code generators like OpenAI Codex have the potential to assist novice programmers by generating code from natural language descriptions, however, over-reliance might negatively…

cs.HC2023★ 8 cited

Scaffolding Progress: How Structured Editors Shape Novice Errors When Transitioning from Blocks to Text

Majeed Kazemitabaar, Viktar Chyhir, David Weintrop +1

Transitioning from block-based programming to text-based programming environments can be challenging as it requires students to learn new programming language concepts. In this pap…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.