Learning Style Differences between Nursing and Teaching Students in Sweden: A Comparative Study
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.
Bibliographic record
Abstract
The teaching profession has been continually challenged to provide evidence of the effectiveness of teaching and learning methods. Teacher education, as well as nursing education, is currently undergoing reforms in Sweden. At the university where the research was conducted, teaching and nursing programs are two priority educational programs and maybe knowledge of learning styles can improve the quality of these programs. The purpose of this research was to examine the learning style preferences for two student groups, teachers and nurses, to analyze their differences in light of international research on learning styles. The study involved 78 teaching students and 78 nursing students. Twenty subscales of the Productivity Environmental Preference Survey (PEPS) (Dunn, Dunn, & Price, 1984; 1991; 2000) were used to identify the participants’ learning style preferences. The results showed statistically significant differences between the two student groups. In comparison to teaching students, more nursing students were highly motivated, kinesthetic, and preferred authorities. More teaching students were highly persistent. The findings suggest the need for widely diverse teaching approaches and conscious didactic action skills in higher education, as well as implementation of learning strategies for students.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it