Journal of Statistics and Data Science Education (May 2024)

Teaching Statistics: A Technology-Enhanced Supportive Instruction (TSI) Model During the Covid-19 Pandemic and Beyond

  • Serina Al-Haddad,
  • Nancy Chick,
  • Farshid Safi

DOI
https://doi.org/10.1080/26939169.2024.2315939
Journal volume & issue
Vol. 32, no. 2
pp. 129 – 142

Abstract

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AbstractMany approaches exist in teaching statistics, however, learning statistics is frequently perceived by students as challenging. While evidence-based teaching approaches like case discussions and flipped-classroom models have been successfully incorporated into multiple disciplines, these methods can have inadequate success when students are affectively detached or sometimes paralyzed by the subject. The sudden need to switch to virtual teaching in Spring 2020 created unprecedented challenges that were overwhelming for instructors and students. This article explores the challenges of teaching a statistics course, and the importance of purposeful use of technology and supportive feedback to effectively engage students and promote learning. Furthermore, this article discusses the results of implementing a Technology-enhanced Supportive Instruction (TSI) model (used since Fall 2019) in teaching a business statistics course. The TSI model uses Microsoft Excel in conjunction with intentional interactions between the student and teacher to help students stay engaged in face-to-face and remote learning. The analysis of Fall 2020 course evaluations, when the course was taught in a dual mode, shows positive students’ perception of instruction and engagement, and indicates that Fall 2020 ratings during dual-mode instruction were not different from Fall 2019 ratings during face-to-face instruction, which supports the potential utility of the model. Supplementary materials for this article are available online.

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