380
Views
18
CrossRef citations to date
0
Altmetric
Original Article

Speech-language pathology students' approaches to learning in a problem-based learning curriculum

, &
Pages 472-481 | Published online: 29 Oct 2009
 

Abstract

Problem-based learning (PBL) is hypothesized to enhance the development of deep learning. Most previous studies, however, have focused on outcomes (knowledge and skills) rather than students' approaches to learning, or how learning approach correlates with learning outcomes. Undergraduates in a speech-language pathology program (n = 114) completed the revised 2-factor Study Process Questionnaire (R-SPQ-2F) twice in an academic year to identify their approaches to learning and to compare these results with academic outcomes. Two findings emerged. Although the mean of scores for the deep approach (DA) to learning was consistently higher than the mean of scores for the surface approach (SA) to learning, exposure to PBL led to significant increase in DA and SA to learning during an academic year for students in Years 1 to 3. Students who did well in a PBL examination showed a much stronger DA than SA to learning, while students who performed less well showed a smaller difference between DA and SA to learning. Possible explanations for these findings are evaluated and implications for further studies are discussed.

Acknowledgements

The authors would like to thank all the students who participated in this study during the academic year of 2005–6.

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 294.00 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.