434
Views
7
CrossRef citations to date
0
Altmetric
Research Article

Generic learning skills in academically-at-risk medical students: A development programme bridges the gap

, , , &
Pages 671-677 | Published online: 19 Jun 2013
 

Abstract

Background: Widening access to medical students from diverse educational backgrounds is a global educational mandate. The impact, on students’ generic learning skills profiles, of development programmes designed for students at risk of attrition is unknown.

Aims: This study investigated the impact of a 12-month Intervention Programme (IP) on the generic learning skills profile of academically-at-risk students who, after failing at the end of the first semester, completed the IP before entering the second semester of a conventional medical training programme.

Methods: This prospective study surveyed medical students admitted in 2009 and 2010, on entry and on completion of first year, on their reported practice and confidence in information handling, managing own learning, technical and numeracy, computer, organisational and presentation skills.

Results: Of 414 first year students, 80 (19%) entered the IP. Levels of practice and confidence for five of the six skills categories were significantly poorer at entry for IP students compared to conventional stream students. In four categories these differences were no longer statistically significant after students had completed the IP; 62 IP students (77.5%) progressed to second year.

Conclusions: A 12-month development programme, the IP, effectively addressed generic learning skills deficiencies present in academically-at-risk students entering medical school.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 771.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.