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researcher

Barbara Ericson

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.HC2
  • cs.CY1
ORCID 0000-0001-6881-8341

identity via Semantic Scholar / OpenAlex

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

338 citations · 351 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CY2024★ 4 cited

Integrating Personalized Parsons Problems with Multi-Level Textual Explanations to Scaffold Code Writing

Xinying Hou, Barbara J. Ericson, Xu Wang

Novice programmers need to write basic code as part of the learning process, but they often face difficulties. To assist struggling students, we recently implemented personalized P…

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…

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