Mathematics Education Undergraduates’ Utilization of Statistical Packages: Implications for Curriculum in the Era of the Fourth Industrial Revolution

Statistical software packages are essential tools in undergraduate education, particularly in the Fourth Industrial Revolution, enabling students to perform complex data analyses and gain practical experience in statistical methods. The integration of these tools into the curricula enhances students’ analytical skills and prepares them for data-driven decision-making in various fields. This study investigates the utilization of statistical packages by undergraduates of Mathematics Education at a university in West Africa. The study aims to determine the level of use of statistical packages among students, identify the challenges faced, and propose strategies to overcome these challenges. A descriptive survey design was used, with data collected from 150 students using structured questionnaires. The data were analysed using descriptive statistics of mean and standard deviation. The results indicate that the students showed moderate use of statistical packages, with a cluster mean of 2.88 (SD = 1.09). With respect to the challenges faced in the utilization of statistical packages, the primary barriers included limited access to computers and the internet (mean = 2.97), high software costs (mean = 2.93), and insufficient training opportunities (mean = 2.99). Based on the findings, the study concluded that while students are aware of statistical packages, their usage remains moderate, hindered by infrastructural and training deficiencies. Strategies such as integrating software training into the curriculum and providing access to free or open-source tools are recommended. Integrating these tools into curricula in the present era of the Fourth Industrial Revolution, supported by appropriate resources and training, is essential to foster a comprehensive understanding of statistical methods and their applications.