Tweeting Continuing Education: A Twitter Mining on Massive Open Online Courses

Ritanjali Panigrahi and Praveen Ranjan Srivastava
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Ritanjali Panigrahi: Indian Institute of Management, MDU Campus, Rohtak, India
Praveen Ranjan Srivastava: Indian Institute of Management, MDU Campus, Rohtak, India

International Journal of Strategic Decision Sciences (IJSDS), 2018, vol. 9, issue 1, 79-101

Abstract: The rapid growth of technology has transformed education from conventional classroom teaching to learner centred, flexible learning anytime anywhere resulting in the popularity of Massive Open Online Courses (MOOCs). It is evident that many MOOCs have adopted social media tools to engage their learners through information sharing, participation, and collaboration to create and consume information. In addition to this, social media is the best place to understand crowd sentiments considering the massive amount of data being generated. This study through text mining of MOOC providers related Twitter data discovers the sentiments of users towards MOOCs, association rules, and the engagement of MOOC providers in Twitter. This article also analyses the traits of the influencers in seven MOOC providers and discovers that the influencers are popular users with higher numbers of followers count. The implications are discussed for MOOC industry, academic institutions, and the government.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jsds00:v:9:y:2018:i:1:p:79-101

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