Understanding Malaysian B40 Schoolchildren’s Lifestyle and Educational Patterns Using Data Analytics

Puteri N. E. Nohuddin (), Zuraini Zainol (), Marja Azlima Omar (), Hanafi Hijazi () and Nora Azima Noordin ()
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Puteri N. E. Nohuddin: Faculty of Business, Sharjah Women’s Campus, Higher Colleges of Technology
Zuraini Zainol: National Defence University Malaysia
Marja Azlima Omar: University of Malaysia of Sabah
Hanafi Hijazi: University of Malaysia of Sabah
Nora Azima Noordin: Faculty of Business, Sharjah Women’s Campus, Higher Colleges of Technology

A chapter in Sustainable Development Through Data Analytics and Innovation, 2022, pp 171-189 from Springer

Abstract: Abstract In Malaysia, children of B40 community have several disadvantaged lives, which may give an impact on their academic achievement. The government and school management monitor the improvement of academic performance and should leverage data analytics technology for trends and patterns. It can also aid in establishing the causes of B40 community students’ progress or degradation in academic performance. Thus, this paper discusses a data analytics pattern analysis framework to assist decision makers in more effectively and properly seeing and analyzing shifting trends and patterns of academic progress and lifestyles of B40 community students. The analytical framework is built in modules that includes data collection, data preprocessing, and preparation, followed by a pattern analysis generator and visualizations. The framework is expected to benefit students, schoolteachers, and the Ministry of Education. This research investigates if educational programs and healthy lifestyle awareness may be adapted particularly for B40 children to improve their academic accomplishment, as the government wishes.

Keywords: B40; School children; Academic performance; Lifestyle; Data analytics; Correlation patterns; Data mining (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-031-12527-0_11

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DOI: 10.1007/978-3-031-12527-0_11

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