Tweetology of Learning Analytics

What does Twitter tell us about the trends and development of the field?

Conference paper (2022)

Authors

Mohammad Khalil University of Bergen
L.Y.J. Wong Statistics - EEMCS
Erkan Er Middle East Technical University
Martin Heitmann University of Bergen
Gleb Belokrys University of Bergen
Research Group
Statistics (EEMCS) (TU Delft)
Copyright: © 2022 Mohammad Khalil, L.Y.J. Wong, Erkan Er, Martin Heitmann, Gleb Belokrys
DOI: https://doi.org/10.1145/3506860.3506914
Learning analytics Twitter Twitter analysis Geospatial analysis Topic modeling
More Info
expand_more

Published Date

2022

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Delft Institute of Applied Mathematics

Research Group

Statistics

Abstract

Twitter is a very popular microblogging platform that has been actively used by scientific communities to exchange scientific information and to promote scholarly discussions. The present study aimed to leverage the tweet data to provide valuable insights into the development of the learning analytics field since its initial days. Descriptive analysis, geocoding analysis, and topic modeling were performed on over 1.6 million tweets related to learning analytics posted between 2010-2021. The descriptive analysis reveals an increasing popularity of the field on the Twittersphere in terms of number of users, twitter posts, and hashtags emergence. The topic modeling analysis uncovers new insights of the major topics in the field of learning analytics. Emergent themes in the field were identified, and the increasing (e.g., Artificial Intelligence) and decreasing (e.g., Education) trends were shared. Finally, the geocoding analysis indicates an increasing participation in the field from more diverse countries all around the world. Further findings are discussed in the paper.