Cited by 10Reading and Literacy DevelopmentSecond Language Acquisition and LearningLiteracy and Educational Practices

Introduction to the Special Issue: Textbook Content and Organization—Why it Matters to Reading Comprehension in Elementary Grades?

Wijekumar, Kausalai, Zhang, Shuai, Joshi, R. M., Peti-Stantic, Anita·2021·Technology, Knowledge and Learning

Integrity signals

Registry

Crossref · 10.1007/s10758-021-09505-6

Cites

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?

Cited by

Sorted by citations

Authors
Wijekumar, K., Zhang, S., Joshi, R. M., & Peti-Stantic, A.
Affiliations
  • Texas A&M University (US)
  • Appalachian State University (US)
Corresponding author
Wijekumar, Kausalai
Venue
Technology, Knowledge and Learning
Published
2021-02-22
Volume
26
Issue
2
Pages
243-249
ISSN
  • 2211-1662 (ISSN-L)
  • 2211-1670
OpenAlex
W3132039142
Cited by
10
References
0
Citations by year
2026: 2 · 2025: 1 · 2024: 3 · 2023: 2 · 2022: 1 · 2021: 1
Type
journal article
Language
en
Open access
closed
Locations
Technology Knowledge and Learning (publishedVersion)
Funders
U.S. Department of Education, Institute of Education Sciences (R305A150057)
Topics
  • Social Sciences › Psychology › Developmental and Educational Psychology › Reading and Literacy Development
  • Social Sciences › Psychology › Developmental and Educational Psychology › Second Language Acquisition and Learning
  • Social Sciences › Education › Literacy and Educational Practices
Keywords
reading textbooks, reading comprehension, primary grades, evidence-based practice, vocabulary teaching, summarization, inferential reasoning, scope and sequence, reading instruction

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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