Abstract
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.
Highlights
In the era of 4th industrial revolution, the growth of digital data accompanies the demand for data transformation into useful and meaningful information and knowledge
This paper focuses on analyzing the textbooks of Algebra and Analysis of grades 10, 11, and 12 in Vietnam by text mining technique with the support of Atlas.ti software
The results showed that an improved method by combining cluster analysis increases the accuracy in quantifying primary biological aerosol particles (PBAPs) classes
Summary
Tuan Anh Bui, Diem-Chinh Thi Ho2,+, Chi Hong Nguyen, Huynh Nhu Phan, Linh Yen Nguyen. Article History Received: 09 September 2020 Accepted: 17 November 2020 Published: 30 December 2020. Keywords Text mining, education 4.0, mathematics textbook, clustering analysis, Atlas.ti
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