Using Data Analytic to Visualize Learning Style for Students TVET Polytechnic Malaysia

Nowadays, with the emerging of rapid revolution industries, there are various educational learning styles evolve in solving the way of teaching and learning among the TVET polytechnic students. However, the surrounding changes of enormous data in learning styles have tangled the TVET polytechnic students to grab the opportunity to improve the performance of achievement in class. The study was conducted via a quantitative data survey with a total of 332 respondents gathered from several polytechnic Malaysia with engineering and non-engineering field of studies. The use of data analytics is considered as a relatively new area in TVET education in visualizing the pattern of learning styles that polytechnic students' required to use to, since TVET polytechnic students have a different background of academic level and courses. Thus, the findings of this study is to visualize the pattern of potential learning styles among TVET polytechnic students with different field studies. This result aims to give TVET polytechnic lecturers' promising data that lead to an improved student's learning achievement outcome, give students the competitive edge and empower the lecturers teaching style in relation to the industrial revolution 4.0 (IR4.0) learning analytics.