MétaCan
Menu
Back to cohort
Record W2894180673 · doi:10.5539/ies.v11n10p50

Learning Style Preferences among College Students

2018· article· en· W2894180673 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Education Studies · 2018
Typearticle
Languageen
FieldPsychology
TopicLearning Styles and Cognitive Differences
Canadian institutionsnot available
Fundersnot available
KeywordsKinesthetic learningPsychologyLearning stylesStyle (visual arts)Affect (linguistics)Cognitive styleReading (process)Visual learningDemographicsMathematics educationSignificant differenceSocial psychologyCommunicationDemographyCognition

Abstract

fetched live from OpenAlex

The purpose of this study was to determine what factors other than individual preferences affect undergraduate students’ learning style preferences, if learning style is influenced by gender, age, college affiliation and/or type of activities. A total of 185 students from the University of Bahrain, Bahrain, participated in an online VARK (Visual, Aural, Read/Write and Kinesthetic) for younger people questionnaire. The questionnaire consisted of 16 items about learning style preferences and three about participants’ demographics. The results showed that participants generally preferred multi-modular learning style with both kinesthetic and visual learning styling being most preferred while Reading/Writing was the least preferred. Furthermore, there were statistically significant differences between students learning styles based on age and gender, but it was a moderate difference. What mostly affected the preferences, however, was the type of activities or tasks, something which in turn resulted in some difference among colleges. This suggests that VARK preferences need to be related to activity type rather than be observed at individual reference. Recommendations were provided at the end of the study.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.061
GPT teacher head0.450
Teacher spread0.388 · 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