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

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Title: Exploring sources of engineering students' academic well-being through Q-methodology research.
Authors: Chaaban, Youmen1 (AUTHOR) ychaaban@qu.edu.qa, Tarlochan, Faris2 (AUTHOR), Chen, Juebei3 (AUTHOR), Du, Xiangyun4 (AUTHOR)
Source: Teaching in Higher Education. May2025, Vol. 30 Issue 4, p915-934. 20p.
Subject Terms: *Q technique, *Engineering students, Well-being, Systems theory, Acquisition of data
Geographic Terms: Qatar
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. [ABSTRACT FROM AUTHOR]
Copyright of Teaching in Higher Education is the property of Taylor & Francis Ltd 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.)
Database: Education Research Complete
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  Data: <searchLink fieldCode="JN" term="%22Teaching+in+Higher+Education%22">Teaching in Higher Education</searchLink>. May2025, Vol. 30 Issue 4, p915-934. 20p.
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  Data: *<searchLink fieldCode="DE" term="%22Q+technique%22">Q technique</searchLink><br />*<searchLink fieldCode="DE" term="%22Engineering+students%22">Engineering students</searchLink><br /><searchLink fieldCode="DE" term="%22Well-being%22">Well-being</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+theory%22">Systems theory</searchLink><br /><searchLink fieldCode="DE" term="%22Acquisition+of+data%22">Acquisition of data</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Teaching in Higher Education is the property of Taylor & Francis Ltd 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: 10.1080/13562517.2023.2301457
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Engineering students
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      – SubjectFull: Well-being
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      – SubjectFull: Systems theory
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      – SubjectFull: Acquisition of data
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              Text: May2025
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