Abstract
Social network services such as Twitter are important venues that can be used as rich data sources to mine public opinions about various topics. In this study, we used Twitter to collect data on one of the most growing theories in education, namely Self-Regulated Learning (SRL) and carry out further analysis to investigate What Twitter says about SRL? This work uses three main analysis methods, descriptive, topic modeling, and geocoding analysis. The searched and collected dataset consists of a large volume of relevant SRL tweets equal to 54,070 tweets between 2011 and 2021. The descriptive analysis uncovers a growing discussion on SRL on Twitter from 2011 till 2018 and then markedly decreased till the collection day. For topic modeling, the text mining technique of Latent Dirichlet allocation (LDA) was applied and revealed insights on computationally processed topics. Finally, the geocoding analysis uncovers a diverse community from all over the world, yet a higher density representation of users from the Global North was identified. Further implications are discussed in the paper.
Highlights
Self-Regulated Learning (SRL) has gained much attention recently
There are several algorithms in topic modeling, the unsupervised modeling of Latent Dirichlet Allocation (LDA) considered to be one of the most popular ones that has been widely used in social sciences
To do the Latent Dirichlet allocation (LDA), we first had to identify the number of topics, which could be done by several approaches
Summary
Researchers have presented theories of SRL in various contexts of modern educational models, including SRL in formal learning, SRL in informal learning, and SRL in non-formal learning settings. Most of these learning models have been shaped by the digital revolution of education (i.e., teaching and learning) through the introduction and usage of learning management systems, smart devices, Massive Open Online Courses (MOOCs), and other data-driven applications such as learning analytics. Social media has emerged as a popular forum for learning and sharing information as well as discussing activities that are related to education, concepts, and classrooms (Clarke and Nelson, 2012). Twitter permits users to interact with microblogs in various ways: posting on one’s profile page (tweet), sharing a microblog on their profile (retweet), replying to
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