@inproceedings{f6bef77a2f9b475ea44ef30d6a4e14eb,
title = "Tweetology of Learning Analytics: What does Twitter tell us about the trends and development of the field?",
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. ",
keywords = "geospatial analysis, learning analytics, topic modeling, Twitter, Twitter analysis",
author = "Mohammad Khalil and Jacqueline Wong and Erkan Er and Martin Heitmann and Gleb Belokrys",
year = "2022",
doi = "10.1145/3506860.3506914",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery (ACM)",
pages = "347--357",
booktitle = "LAK 2022 - Conference Proceedings",
address = "United States",
note = "12th International Conference on Learning Analytics and Knowledge: Learning Analytics for Transition, Disruption and Social Change, LAK 2022 ; Conference date: 21-03-2022 Through 25-03-2022",
}