Open AccessText mining in the trend of education 4.0: A study on clustering mathematical terms of algebra textbooks in Vietnamese high schools
Author(s) -
Tuan Anh Bui,
Diem-Chinh Thi Ho,
Chi Hong Nguyen,
Huynh Nhu Phan,
Linh Yen Nguyen
Publication year - 2020
Publication title -
vietnam journal of education (online)/vietnam journal of education/giáo dục
Language(s) - English
Resource type - Journals
eISSN - 2588-1477
pISSN - 2354-0753
DOI - 10.52296/vje.2020.81
Subject(s) - cluster analysis , vietnamese , computer science , german , context (archaeology) , curriculum , process (computing) , mathematics education , software , data science , mathematics , artificial intelligence , pedagogy , sociology , linguistics , geography , programming language , philosophy , archaeology
In the context of Educational Revolution 4.0, text mining with digital tools plays an important role. Various techniques and softwares have been employed in text mining, among which the clustering technique using Atlas.ti, a German software, is widely used thanks to its versatility and open access. This article presents the results of clustering Mathematical terms in Algebra textbook in Vietnamese high schools with the support of Atlas.ti. Initial research results can yield the insight into the relationship among Mathematical terms in the curriculum, thereby, aiming for a better teaching process.