Blended Learning Approaches for Statistics Teaching

Abstract

The teaching of statistics at university is challenging because many students have negative perceptions towards the subject and it requires students to integrate mathematical concepts, the process of statistical inference, and their applications to real world problems. Blended learning approaches have the potential to meet these challenges and facilitate student learning in various ways. This chapter reviews established and emerging practices in blended learning for statistics teaching at university. Various blended learning approaches including wikis, vodcasts, dynamic collation of class responses, discussion boards, blogs, interactive computer-based exercises, on-line tutorials, and social media are reviewed in terms of their methods of application, student perceptions, and effectiveness to enhance student learning outcomes. The future role of blended learning in statistics teaching is also considered in the context of emerging trends in higher education. Recommendations for using blended learning approaches in the statistics curriculum are also made. It is concluded that the most effective blended learning approaches are those that take a student-centred approach, are integrated seamlessly within the curriculum, and make use of technologies that are reliable and user friendly.