Cited by 557Generational Differences and TrendsLearning Styles and Cognitive DifferencesDigital Media and Philosophy

The digital natives as learners: Technology use patterns and approaches to learning

Thompson, Penny·2013·Computers & Education

Integrity signals

Registry

Crossref · 10.1016/j.compedu.2012.12.022

Cites

5 of 5 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
Thompson, P.
Affiliations
Oklahoma State University (US)
Corresponding author
Thompson, Penny
Venue
Computers & Education
Publisher
Elsevier BV
Published
2013-07
Volume
65
Pages
12-33
ISSN
0360-1315 (ISSN-L)
OpenAlex
W2049701239
Cited by
557
References
5
Citations by year
2026: 14 · 2025: 20 · 2024: 30 · 2023: 38 · 2022: 57 · 2021: 42 · 2020: 58 · 2019: 58 · 2018: 46 · 2017: 52 · 2016: 38 · 2015: 68 · 2014: 25 · 2013: 11
FWCI
114.03
Type
journal article
Language
en
Open access
closed
Locations
Computers & Education (publishedVersion)
Topics
  • Social Sciences › Life-span and Life-course Studies › Generational Differences and Trends
  • Social Sciences › Psychology › Developmental and Educational Psychology › Learning Styles and Cognitive Differences
  • Physical Sciences › Computer Science › Computer Science Applications › Digital Media and Philosophy
Keywords
digital natives, technology use patterns, learning methods, first-year students, student learning behavior, focused attention, deep processing, persistence, digital media, generational differences in 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 ›

Are you an author, or do you see a problem with this page? Request a review