A split-attention effect in multimedia learning: Evidence for a dual-channel theory of working memory: (536982012-105)
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
The monologue learning strategy minimizes distractions and exerts less cognitive load on the user because it requires minimum back-and-forth interaction.
“Since the monologue learning strategy requires minimum back-and-forth interaction with HB, it minimizes distractions and exerts a less cognitive load on the user [52,67,73].”
From OK Google, Let's Learn: Using Voice User Interfaces for Informal Self-Regulated Learning of Health Topics among Younger and Older Adults (2023) · cites this paper as [67]
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Cited by 1
- Authors
- Mayer, R. E., & Moreno, R.
- ORCID
- Mayer, Richard E.
- Venue
- PsycEXTRA Dataset
- Published
- 1997
- OpenAlex
- W4229967615
- Cited by
- 1
- References
- 0
- Type
- dataset
- Language
- en
- Open access
- closed
- Locations
- PsycEXTRA Dataset (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Social Sciences › Psychology › Developmental and Educational Psychology › Learning Styles and Cognitive Differences
- Keywords
- split-attention effect, multimedia learning, working memory, cognitive load, instructional design
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.
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