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Explaining variance in self-directed learning readiness of first year students in health professional programs

Overview of attention for article published in BMC Medical Education, November 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Title
Explaining variance in self-directed learning readiness of first year students in health professional programs
Published in
BMC Medical Education, November 2017
DOI 10.1186/s12909-017-1043-8
Pubmed ID
Authors

Craig E. Slater, Anne Cusick, Jimmy C. Y. Louie

Abstract

Self-directed learning (SDL) is expected of health science graduates; it is thus a learning outcome in many pre-certification programs. Previous research identified age, gender, discipline and prior education as associated with variations in students' self-directed learning readiness (SDLR). Studies in other fields also propose personality as influential. This study investigated relationships between SDLR and age, gender, discipline, previous education, and personality traits. The Self-Directed Learning Readiness Scale and the 50-item 'big five' personality trait inventory were administered to 584 first-year undergraduate students (n = 312 female) enrolled in a first-session undergraduate interprofessional health sciences subject. Students were from health promotion, health services management, therapeutic recreation, sports and exercise science, occupational therapy, physiotherapy, and podiatry. Four hundred and seven responses (n = 230 females) were complete. SDLR was significantly higher in females and students in occupational therapy and physiotherapy. SDLR increased with age and higher levels of previous education. It was also significantly associated with 'big five' personality trait scores. Regression analysis revealed 52.9% of variance was accounted for by personality factors, discipline and prior experience of tertiary education. Demographic, discipline and personality factors are associated with SDLR in the first year of study. Teachers need to be alert to individual student variation in SDLR.

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The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 173 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 14%
Student > Bachelor 24 14%
Lecturer 20 12%
Student > Doctoral Student 11 6%
Student > Ph. D. Student 10 6%
Other 34 20%
Unknown 50 29%
Readers by discipline Count As %
Nursing and Health Professions 33 19%
Medicine and Dentistry 30 17%
Social Sciences 15 9%
Psychology 7 4%
Linguistics 4 2%
Other 28 16%
Unknown 56 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 February 2018.
All research outputs
#4,015,053
of 23,316,003 outputs
Outputs from BMC Medical Education
#653
of 3,439 outputs
Outputs of similar age
#71,219
of 326,861 outputs
Outputs of similar age from BMC Medical Education
#21
of 89 outputs
Altmetric has tracked 23,316,003 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,439 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 326,861 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.