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Record W4297826281 · doi:10.31234/osf.io/aqw28

Dividing attention hurts learning in adults but not children

2022· preprint· en· W4297826281 on OpenAlex
Marlie C. Tandoc, Bharat Nadendla, Theresa Pham, Amy S. Finn

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicPsychological and Educational Research Studies
Canadian institutionsWestern UniversityUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsTask (project management)PsychologyTest (biology)Cognitive psychologyDevelopmental psychologyFocus (optics)

Abstract

fetched live from OpenAlex

Possibly due to difficulties with maintaining focus, children have been shown to learn distracting information better than adults. To get at the cause of this developmental reversal, the present investigation explores the role of task-goals. Both children (7-9 years) and adults viewed drawings of common objects and were either told to look at the drawings (Experiment 1) or indicate when shapes (overlaid on the drawings) repeated (Experiment 2), after which they were asked to identify fragments of these and novel drawings as fast as possible. As expected, adults learned much better than children when drawings were task-relevant (Experiment 1). This difference disappeared, however, when the drawings were task-irrelevant (Experiment 2), with children showing better learning than adults in the first half of the test. Comparing across experiments, we observed that while adult learning was hampered by the addition of a concurrent task in Experiment 2, child learning was not. These findings demonstrate fundamental differences in how goals shape attention and learning in children versus adults.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0160.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.085
GPT teacher head0.412
Teacher spread0.326 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it