Exploring the Impact of TikTok Blended Learning on Mathematics Performance: A Hypothesis Approach

Authors

  • Norshela Mohd Noh Department of Mechanical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia Pagoh, 84600, Muar, Johor, Malaysia
  • Rama Yusvana Department of Chemical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia Pagoh, 84600, Muar, Johor, Malaysia

DOI:

https://doi.org/10.37934/sijste.2.1.16

Keywords:

Hypothesis testing, R code, TikTok blended learning, mathematics performance, hypothesis testing

Abstract

Studying engineering at the university level necessitates a strong foundation in mathematics. However, the diverse mathematical backgrounds of enrolled students pose challenges to educators in higher education. To address this issue, utilizing technology and visual representations alongside various examples can enhance understanding for students with different learning preferences. Therefore, this study aimed to examine the difference in mathematics final examination scores between students engaged in TikTok blended learning and those in traditional non-blended learning environments. Hypothesis testing and z-test were employed to analyze the mathematics performance. The R software code was included to prove the hypothesis testing. The result showed that students who practised TikTok blended learning performed better than students who were in the non-blended learning environments in mathematics subject of engineering technology in final examinations.

Author Biography

Norshela Mohd Noh, Department of Mechanical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia Pagoh, 84600, Muar, Johor, Malaysia

nshela@uthm.edu.my

Published

2024-09-17

How to Cite

Norshela Mohd Noh, & Yusvana, R. . (2024). Exploring the Impact of TikTok Blended Learning on Mathematics Performance: A Hypothesis Approach. Semarak International Journal of STEM Education, 2(1), 1–6. https://doi.org/10.37934/sijste.2.1.16

Issue

Section

Articles