Cited by 179Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Healthcare and Education

Chatgpt for next generation science learning

Open access
Zhai, Xiaoming·2023·XRDS Crossroads The ACM Magazine for Students

Abstract

This article pilots ChatGPT in tackling the most challenging part of science learning and found it successful in automation of assessment development, grading, learning guidance, and recommendation of learning materials.

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Integrity signals

Registry

Crossref · 10.1145/3589649

Cites

11 of 11 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Even when updates address and mitigate detected biases, they also introduce the potential for process reproducibility failure in the generated data and impede reproducibility.

    “This means that even when updates address and mitigate detected biases, they also introduce the potential for “process reproducibility failure” (98) in the generated data and impede reproducibility, critical for scientific rigor (15, 100, 101).”
  • The lack of transparency in how ChatGPT generates responses implies that researchers cannot ascertain the underlying mechanisms and origin of biases that may be influencing the outputs.

    “Notably, the lack of transparency in how ChatGPT generates responses implies that researchers cannot ascertain the underlying mechanisms and origin of biases that may be influencing the outputs (101, 104, 105).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

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Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. National Research Council. A Framework for K-12 Science Education: Practices, crosscutting concepts, and core ideas. The National Academies Press, Washington, D.C., 2012.

Cited by

Sorted by citations

Authors
Zhai, X.
Affiliations
University of Georgia
Venue
XRDS Crossroads The ACM Magazine for Students
Published
2023-03
Volume
29
Issue
3
Pages
42-46
ISSN
  • 1528-4972 (ISSN-L)
  • 1528-4980
OpenAlex
W4365139036
Cited by
178
References
11
Citations by year
2026: 45 · 2025: 35 · 2024: 61 · 2023: 36 · 2022: 1
FWCI
41.55
Type
journal article
Language
en
Open access
Locations
XRDS Crossroads The ACM Magazine for Students (publishedVersion)
Funders
National Science Foundation (2138854; 2101104)
Topics
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
ChatGPT, large language models, science education, automated grading, learning guidance, learning material recommendation, generative AI in education

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