Data on Scientometrics of Teaching in HEA and adapting to COVID-19 (online learning)- Paper 1

Published: 21 September 2022| Version 1 | DOI: 10.17632/7mmwpvxtwr.1
Chiemela Victor Amaechi


This dataset on the scientometrics of teaching in HEA- online learning (Part 1) is presented. It shows supplementary Data that includes keywords, word clouds and retrieved data from SCOPUS database. This dataset was used for the paper by applying Scientometric science, which is based on bibliometric analysis. The data included different parameters like publication authors, and publication's geographical location by country to investigate the research pattern. See the full paper in: Amaechi, C.V.; Amaechi, E.C.; Oyetunji, A.K.; Kgosiemang, I.M. Scientific Review and Annotated Bibliography of Teaching in Higher Education Academy (HEA) on Online Learning: Adapting to the COVID-19 Pandemic. Sustainability 2022, 14, accepted.


Steps to reproduce

The data was retrieved from the Scopus database, during mid-2022. The data obtained were visualised using the authors' keywords word from the data was used to generate word clouds from the keywords.


Lancaster University, Lancaster University Department of Engineering


Teaching, Annotation, Learning, Academic Curriculum, Higher Education, Blended Learning, Computer-Assisted Learning, Online Learning, Online Teaching, Academic Assessment, Bibliometrics, Academic Learning, Massive Open Online Course, COVID-19, Online Education, Scientometrics