Cited by 32Educational Robotics and EngineeringScience Education and PedagogyTeaching and Learning Programming

Cognition, Attitude, and Interest in Cross-Disciplinary i-STEM Robotics Curriculum Developed by Thematic Integration Approaches of Webbed and Threaded Models: a Concurrent Embedded Mixed Methods Study

Chang, Chi-Cheng, Chen, Yiching·2020·Journal of Science Education and Technology

Integrity signals

Registry

Crossref · 10.1007/s10956-020-09841-9

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Chang, C.-C., & Chen, Y.
Affiliations
National Taiwan Normal University (TW)
Corresponding author
Chang, Chi-Cheng
Venue
Journal of Science Education and Technology
Published
2020-06-09
Volume
29
Issue
5
Pages
622-634
ISSN
  • 1059-0145 (ISSN-L)
  • 1573-1839
OpenAlex
W3034924292
Cited by
32
References
2
Citations by year
2026: 7 · 2025: 7 · 2024: 7 · 2023: 6 · 2022: 4 · 2021: 1
FWCI
1.08
Type
journal article
Language
en
Open access
closed
Locations
Journal of Science Education and Technology (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Educational Robotics and Engineering
  • Social Sciences › Education › Science Education and Pedagogy
  • Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
Keywords
robotics education, thematic integration, high school students, student cognition, student attitudes, student interest, sailboat design, engineering design, programming, mathematics learning

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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