Abstract
Students have different levels of intellectual capabilities and learning styles which affect their understanding of specific academic concepts and gaining specific skills. Educational institutions dedicate much efforts to support at-risk students. However, this support usually comes as a reaction of students’ low performance, while learners need proactive support to keep their academic performance high, this needs a deep understanding of students learning capabilities and the real support they need accordingly. This research tries to investigate students’ personalities and the impact of learners’ personalities on their academic capabilities. A sample of 180 students was involved in this pilot study to evaluate the impact of their personalities on their academic standing. The sample collected from three different computing majors which are security forensics, Networking, and Application development majors. Myers-Briggs Type Indicator (MBTI) test is conducted twice using two different platforms and in different periods to figure out any random answers might happen by the participants. We excluded anomalies found and only quit fair data are kept for processing. This paper implements t-test to check if learners’ personalities affect their academic standing which might drop them into at-risk category. The experimental results showed that students’ personalities have a direct impact on their knowledge acquisition.
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Acknowledgments
This work was supported by HCT Research Grants (HRG) [Fund No: 103108]. We would also like to show our gratitude to Higher Colleges of Technology for the financial grant.
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Embarak, O., Khan, Z., Gurung, B. (2019). Understanding Students Personality to Detect Their Learning Differences. In: Barolli, L., Xhafa, F., Khan, Z., Odhabi, H. (eds) Advances in Internet, Data and Web Technologies. EIDWT 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 29. Springer, Cham. https://doi.org/10.1007/978-3-030-12839-5_35
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DOI: https://doi.org/10.1007/978-3-030-12839-5_35
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