Cited by 154Visual and Cognitive Learning ProcessesInnovative Teaching and Learning MethodsOnline and Blended Learning

The influence of leads on cognitive load and learning in a hypertext environment

Antonenko, Pavlo D., Niederhauser, Dale S.·2010·Computers in Human Behavior

Integrity signals

Registry

Crossref · 10.1016/j.chb.2009.10.014

Cites

70 of 70 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?

  • Using a hypertext-based learning environment, Antonenko and Niederhauser (2010) showed that several aspects of the EEG reflected hypothesised differences in cognitive load.

    “Using a hypertext-based learning environment, Antonenko and Niederhauser (2010) showed that several aspects of the EEG reflected hypothesised differences in cognitive load.”

    From Cognitive Architecture and Instructional Design: 20 Years Later (2019) · cites this paper as Antonenko and Niederhauser (2010)

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Antonenko, P. D., & Niederhauser, D. S.
Affiliations
  • Oklahoma State University (US)
  • Iowa State University (US)
Corresponding author
Antonenko, Pavlo D.
Venue
Computers in Human Behavior
Publisher
Elsevier BV
Published
2010-03
Volume
26
Issue
2
Pages
140-150
ISSN
0747-5632 (ISSN-L)
OpenAlex
W2047898672
Cited by
154
References
70
Citations by year
2026: 5 · 2025: 6 · 2024: 12 · 2023: 11 · 2022: 11 · 2021: 13 · 2020: 16 · 2019: 14 · 2018: 10 · 2017: 8 · 2016: 8 · 2015: 10 · 2014: 7 · 2013: 13 · 2012: 4
FWCI
3.93
Type
journal article
Language
en
Open access
closed
Locations
Computers in Human Behavior (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
hypertext, cognitive load, extraneous load, germane load, intrinsic cognitive load, cognitive effort, memory retrieval, domain knowledge, structural knowledge

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