Building Careers: Key Influences on Career Aspirations in a Danish Problem-Based Learning Setting.

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Title: Building Careers: Key Influences on Career Aspirations in a Danish Problem-Based Learning Setting.
Authors: Markman, Anna Overgaard1 (AUTHOR) annaom@plan.aau.dk, Chen, Juebei1 (AUTHOR), Nørgaard, Bente1 (AUTHOR), Du, Xiangyun1 (AUTHOR)
Source: Journal of Career Development. Aug2025, Vol. 52 Issue 4, p487-504. 18p.
Abstract: This paper examines supporting elements of senior engineering students' career aspirations within a problem-based learning (PBL) environment in Denmark. Using the systems theory framework of career development, this study investigates both individual and contextual influences of career aspirations. A mixed-method approach was employed, incorporating multiple data sources, including Q methodology, interviews, and written reflections. The analysis identified four key components contributing to students' career aspirations: (1) engagement with real-world problems; (2) successful transition into industry; (3) professional passion; and (4) future job opportunities. The findings reveal that a variety of individual and contextual factors shape students' career aspirations, providing valuable insights into the types of support needed throughout their education. The study highlights the significance of initiatives such as career exploration activities in aiding the development of career aspirations. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Career Development is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Building Careers: Key Influences on Career Aspirations in a Danish Problem-Based Learning Setting.
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  Data: <searchLink fieldCode="AR" term="%22Markman%2C+Anna+Overgaard%22">Markman, Anna Overgaard</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> annaom@plan.aau.dk</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Juebei%22">Chen, Juebei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nørgaard%2C+Bente%22">Nørgaard, Bente</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Du%2C+Xiangyun%22">Du, Xiangyun</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Career+Development%22">Journal of Career Development</searchLink>. Aug2025, Vol. 52 Issue 4, p487-504. 18p.
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper examines supporting elements of senior engineering students' career aspirations within a problem-based learning (PBL) environment in Denmark. Using the systems theory framework of career development, this study investigates both individual and contextual influences of career aspirations. A mixed-method approach was employed, incorporating multiple data sources, including Q methodology, interviews, and written reflections. The analysis identified four key components contributing to students' career aspirations: (1) engagement with real-world problems; (2) successful transition into industry; (3) professional passion; and (4) future job opportunities. The findings reveal that a variety of individual and contextual factors shape students' career aspirations, providing valuable insights into the types of support needed throughout their education. The study highlights the significance of initiatives such as career exploration activities in aiding the development of career aspirations. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Career Development is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1177/08948453251351584
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        Text: English
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              Text: Aug2025
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