Equipping college students with statistical literacy under the massification of higher education

• DOI: 10.55217/101.v17i2.874
• Publication Date: 2025-01-04T08:09:41Z
• Authors: Weichen Teng; Yueh-Hsia Huang; Mei-Hui Peng; Tien-Tien Liao
• Keywords: Statistical Analysis

Big data analysis has become an essential decision-making tool across various sectors, with statistics serving as the critical knowledge base. However, many college students, especially those weaker mathematical skills, experience anxiety about statistics. This study explores strategies to improve statistical literacy among such students. Using a questionnaire survey, it focuses on introductory course at university in Taiwan, applying Partial Least Squares method test structural equation model. The findings suggest that integrating software into instruction, conducting frequent formative assessments, and designing content conducive learning can enhance students' perceived outcomes self-efficacy. Despite limitations like small sample size representativeness, highlights not only aids but also develops practical skills for real-world application. Open-book exams are recommended, multiple assessment methods should be used ensure fairness. concludes while is difficult alleviate, enhancing self-efficacy attitudes toward It proposes scaffolding support students low ultimately improving their confidence.