176
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Exploring sources of engineering students’ academic well-being through Q-methodology research

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Received 30 Jun 2023, Accepted 21 Dec 2023, Published online: 16 Jan 2024
 

ABSTRACT

Recent interest in academic well-being has promoted universities to take proactive measures that support students in navigating the challenges of university life, in all its complexity. Drawing on systems theory, this study explored the sources of engineering students’ academic well-being at one university in Qatar. Q methodology was applied to collect and analyze data using a 31-item Q-sample. Forty-four male engineering students participated in this study, which resulted in the emergence of a three-factor solution, comprising 24 significantly loading participants. The three factors encompassed the most relevant sources of academic well-being of participants as a collective, and were termed as follows: (F-1) focusing on what we can control, (F-2) having clear direction on where we are going, and (F-3) appreciating what we are studying alone. Despite these distinctive viewpoints, there were several consensus statements that were discussed alongside the recommendations of this study for policy and practice.

Acknowledgements

Open Access funding provided by the Qatar National Library.

Disclosure statement

No potential conflict of interest was reported by the author(s).

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 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 467.00 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.