Regression model for students’ learning style in distance statistics education


  • Leomarich F. Casinillo Visayas State University, Baybay City, Leyte, Philippines



Statistics education, learning style, regression analysis, college students, new normal


Students have different kinds of acquisition styles depending on their convenience in the learning environment. This study aims to look into the different kinds of learning styles (visual, auditory, and tactile) among students in learning statistics during the new normal at Visayas State University, Leyte, Philippines. In addition, the article tends to determine the various correlating factors that significantly influence their learning styles. Secondary data were utilized from an existing current paper in the literature and analyzed using standard descriptive statistics and ordinal regression. Results of the analysis showed that students' learning styles as visual, auditory, and tactile are rated "sometimes." This indicates that the learning ability of students is adversely affected by the pandemic. On average, students preferred a visual learning style during the new normal in their acquisition of distance statistics education. This means that students prefer to read visual representations like books, handouts, and modules, among others, of their lessons in statistics online. Regression revealed that younger students are more likely visual learners, higher family income governing the students to auditory learners, and the number of hours in studying and leisure time makes the students tactile learners. In conclusion, students must be provided with detailed learning materials for their statistics lessons, and encourage them to study by providing realistic and interesting activities. Furthermore, statistics teachers must show positive vibes to lessen the students' stress and advise the students a good time management on how to correctly study in that suits their learning styles during the new normal.


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How to Cite

Casinillo, L. F. (2023). Regression model for students’ learning style in distance statistics education. EDUCATUM Journal of Science, Mathematics and Technology, 10(1), 71–79.