A Social Media Analytics Framework to Increase Prospective Students’ Interests in STEM and TVET Education

  • Muhamad Hariz Muhamad Adnan Universiti Pendidikan Sultan Idris
  • Shamsul Arrieya Ariffin Universiti Pendidikan Sultan Idris
  • Hafizul Fahri Hanafi Universiti Pendidikan Sultan Idris
  • Mohd Shahid Husain Directorate General of Colleges of Applied Sciences
  • Ismail Yusuf Panessai Universiti Pendidikan Sultan Idris

Abstract

Recently, the promotion of Science, technology, engineering and mathematics (STEM) education has become the highlight due to the shortage in the STEM workforce. Surprisingly, the enrolment rates in STEM degrees are still low in many countries. Social media has been identified as one of the main platforms that can help to increase prospective students’ interest in STEM and also Technical and Vocational Education and Training (TVET) subjects. However, very little research has been done for the higher education institutions in Malaysia in leveraging social media and social media analytics effectively to increase the students’ interests and awareness of STEM and TVET disciplines. Therefore, this paper aims to propose a framework to increase prospective students’ interest in STEM and TVET using social media and big data analytics. The objectives of this study are to explore various social media applications in education and study these applications towards increasing students’ interests and propose a suitable framework for Malaysian higher education institutions. The framework is proposed by following the theory synthesis methodology. Four main components of the framework have been proposed, namely social media, role model or mentoring, massive open online courses and big data analytics. Each component is significant and requires a considerable amount of time to develop. The suggested framework is anticipated to benefit higher education institutions with a significant gain of the number of students, revenues and positive reputations.


 


Keywords: Social media, Social media analytics, STEM, E-learning, Education


 

Published
2021-01-24
How to Cite
MUHAMAD ADNAN, Muhamad Hariz et al. A Social Media Analytics Framework to Increase Prospective Students’ Interests in STEM and TVET Education. Asian Journal of University Education, [S.l.], v. 16, n. 4, p. 82-90, jan. 2021. ISSN 2600-9749. Available at: <https://myjms.mohe.gov.my/index.php/AJUE/article/view/11945>. Date accessed: 03 dec. 2021. doi: https://doi.org/10.24191/ajue.v16i4.11945.