Cited by 31Visual and Cognitive Learning ProcessesInnovative Teaching and Learning MethodsOnline and Blended Learning

Pointing and tracing enhance computer-based learning

Ginns, Paul, King, Victoria·2021·Educational Technology Research and Development

Integrity signals

Registry

Crossref · 10.1007/s11423-021-09997-0

Cites

70 of 70 references verified0 citation errors · 0 not checkable

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  • Several studies have utilized biologically primary knowledge in the form of intuitive actions, such as pointing gestures on tablets, with positive effects on learning.

    “Several studies have utilized biologically primary knowledge in the form of intuitive actions, such as pointing gestures on tablets, with positive effects on learning”

    From The Cognitive Architecture of Digital Externalization (2023) · cites this paper as Ginns & King, 2021

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Authors
Ginns, P., & King, V.
Affiliations
The University of Sydney (AU)
Corresponding author
Ginns, Paul
Venue
Educational Technology Research and Development
Published
2021-05-11
Volume
69
Issue
3
Pages
1387-1403
ISSN
  • 1042-1629 (ISSN-L)
  • 1556-6501
OpenAlex
W3163827681
Cited by
31
References
70
Citations by year
2026: 4 · 2025: 3 · 2024: 7 · 2023: 8 · 2022: 6 · 2021: 2 · 2020: 1
FWCI
5.56
Type
journal article
Language
en
Open access
closed
Locations
Educational Technology Research and Development (publishedVersion)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
  • Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
  • Social Sciences › Education › Online and Blended Learning
Keywords
cognitive load theory, intrinsic motivation, extraneous cognitive load, intrinsic cognitive load, computer-assisted instruction, astronomy education, star formation, retention and transfer, explicit instruction

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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.

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