Career Change Intentions of Science and Engineering Undergraduates: A Behavioral Neuroscience Inquiry

Yit Sean Chong, Pervaiz K. Ahmed, Hafeez Ullah Amin

Research output: Contribution to journalArticle (journal)peer-review

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Abstract

Based on self-determination theory, this study examined the mental and emotional states of final year Science and Engineering undergraduates in career change considerations. While prior work has explored students’ career choice, career change intentions particularly among the new entrants in the contemporary workforce, remains an under researched domain. A purposive sample of thirty final-year Science and Engineering undergraduates participated in a laboratory experiment in which an electroencephalogram (EEG) device was used to detect their mental states when responding to career decision stimuli involving salary and work-life balance considerations for Research and Development Specialist (scientific career) and Management Associate (non-scientific) positions. The brainwave results showed significantly higher beta activation (which indicated stress levels) for participants who were less self-determined, at the point of reviewing the job description (which included work-life balance company policies) for the Research and Development Specialist (R&D) position. The manipulation of salary levels did not have a significant impact on their stress levels. While almost all participants opted for a R&D career during the experiment, the survey data revealed a stronger intention among less self-determined individuals to leave science at a later juncture due to perceived lower salary and a lack of work-life balance. Overall, this study underscores the importance of self-determination to promote sustainable scientific career. From these findings, implications towards career counselling for contemporary science and engineering workforce are further discussed.
Original languageEnglish
Pages (from-to)46401-46409
Number of pages9
JournalIEEE Access
Volume12
Early online date11 Mar 2024
DOIs
Publication statusPublished - 11 Mar 2024

Keywords

  • General Engineering
  • General Materials Science
  • General Computer Science
  • Electrical and Electronic Engineering
  • behavioral experiment
  • EEG signals
  • self-determination
  • Career change
  • STEM

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