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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

Analysis of personality traits using Myers-Briggs type indicator in correlation to the academic performance of BS ECE undergraduates

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  • Analysis of personality traits using Myers-Briggs type indicator in correlation to the academic performance of BS ECE undergraduates

Angelo Mari Cuevas Paredes * and Edwin Romeroso Arboleda

Department of Computer, Electronics and Electrical Engineering, College of Engineering and Information Technology, Cavite State University, Philippines.
 
Research Article
 
International Journal of Science and Research Archive, 2024, 11(01), 2139–2147.
Article DOI: 10.30574/ijsra.2024.11.1.0297
DOI url: https://doi.org/10.30574/ijsra.2024.11.1.0297
Received on 02 January 2024; revised on 13 February 2024; accepted on 15 February 2024
 
academic performance among Bachelor of Science in Electronics Engineering (BS ECE) students. A sample of 70 students completed the Myers-Briggs Type Indicator (MBTI) assessment and provided academic performance data. Statistical analyses using Microsoft Excel examined associations between MBTI types and achievement. Overall, sensing and introverted types like ISTJ and ISFJ were most prevalent while intuitive, extroverted types were uncommon. The highest academic scorers frequently exhibited introverted, sensing, feeling traits such as ISFJ. Lower performers sometimes showed opposite extraverted, thinking types like ESTJ. Results indicate certain personality profiles may be drawn to engineering fields where they can thrive. However, variations emerged even among poorer scorers. Differences in thinking versus feeling dimensions also distinguished top and bottom achievers. While insightful, the small sample size limits generalizability. Assessing more undergraduate year levels could provide additional perspectives. Findings imply tailoring instructional methods to traits like introversion or thinking may optimize student engagement and learning. Monitoring personality development throughout engineering curricula may also support retention. Further research on personality's interaction with program demands over time is needed. Exploring larger samples across multiple cohorts and degrees could reveal more patterns. This initial investigation fills a knowledge gap, but expanded studies using bigger samples will deepen understanding of links between personality and performance in engineering education.
 
Myers-Briggs Type Indicator; MBTI; Personality Traits; Electronics Engineers; Undergraduate
 
https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2024-0297.pdf

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