An Empirical Research on Exploring the Trans-disciplinary Autocorrelationships Among the Social-Media Technology, MOOCs and Higher-Education Sustainability

Hsieh, Ming-Yuan

doi:10.1007/978-3-030-35343-8_8

Cited by 1 publication

(1 citation statement)

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“…Through MOOCs and social media platforms, users can share, track, and search for information on their specific interests (Su, Ding, Lue, Lai, & Su, 2017). Taiwanese higher education institutions focused on MOOCs to increase students` interests in education (Hsieh, 2019). The strategy applied was to increase institution revenues by offering MOOCs with the lowest cost using social media.…”

Section: Moocmentioning

confidence: 99%

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

Adnan

Ariffin

Hanafi

et al. 2021

AJUE

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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

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Section: Moocmentioning

confidence: 99%