MétaCan
Menu
Back to cohort
Record W2617791706 · doi:10.5430/jnep.v7n10p83

Learning styles and intelligence types versus academic performance of nursing students of the University of Zambia

2017· article· en· W2617791706 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

VenueJournal of Nursing Education and Practice · 2017
Typearticle
Languageen
FieldPsychology
TopicLearning Styles and Cognitive Differences
Canadian institutionsnot available
Fundersnot available
KeywordsKinesthetic learningLearning stylesPsychologyAptitudeMathematics educationReading (process)CorrelationPositive correlationTheory of multiple intelligencesDevelopmental psychologyMedicineMathematicsLinguistics

Abstract

fetched live from OpenAlex

Background: Learning styles are inherent personal attributes that determine the preferred teaching and learning method(s) for individual while an intelligence type is an individual’s levels of aptitude in various content areas as there is no one individual who is universally intelligent. An understanding of the two concepts is essential for designing suitable teaching approaches.Methods: This was a descriptive correlation study which explored the relationship between two variables; learning styles and intelligence types and academic performance of nursing students enrolled in the conventional nursing program at the University of Zambia. Data on learning styles was collected using the Visual, Auditory, Reading/Writing and Kinesthetic (VARK) questionnaire version 7.8 as proposed by Neil Fleming while Gardner’s questionnaire for assessing multiple intelligences was used to collect data on the students’ intelligence types. Results for the end of 2015/2016 academic year were used to determine academic performance.Results: Almost two thirds 64 (65.4%) of the participants’ academic performance was at credit level, 32 (32.7%) were at pass while only 2 (2%) were meritorious students. Participants had wide-ranging learning styles from unimodal, to bimodal and tri modal styles, although the majority were unimodal learners 81 (82.6%). Among the unimodal learners, majority 35 (35.5%) were kinaesthetic. On the other hand, 37 (37.8%) had logical mathematical intelligence, followed by bodily-Kinaesthetic 27 (27.6%). Both learning styles and intelligence types showed negative correlation and no significant association with academic performance. The Pearson r correlation and level of significance between learning styles and academic performance was -.092 and 0.372 respectively, while that for intelligence types and academic performance were -.027 and 0.790. Of the three demographic variables of age, gender and year of study, only age showed a positive correlation and significant association with academic performance (p = .002, and r = .144).Conclusions: The negative correlation between learning styles and intelligence types and academic performance may be an indication that the teaching methods utilized for nursing students are varied and therefore capable of promoting learning across different styles and intelligence types without necessarily favouring a specific style or type or that there is simply no association between learning styles and intelligence types and academic performance.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.762
Threshold uncertainty score0.210

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.115
GPT teacher head0.471
Teacher spread0.356 · 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