Online Statistics Teaching and Learning

Mine Cetinkaya-Rundel, Monika Ju, James Albert

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract / Description of output

This chapter draws on the authors’ experience with different online statistics courses to address some of the aforementioned challenges. It provides an online exploratory data analysis course taught at Bowling Green State University. The chapter describes an upper-level Bayesian statistics course taught at Vassar College and shared among several liberal arts colleges through a hybrid model. It aims to provide overviews of the online courses, discusses challenges and approaches, and also provides general guidelines for statistics educators interested in online teaching and learning of statistics. The learners are recommended to have the learning objectives handy while watching the videos and revisit sections of the videos and/or suggested readings for any learning objectives that they feel like they have not mastered at the end of the module. For statistics courses at all levels, teaching and learning online pose challenges in different aspects.
Original languageEnglish
Title of host publicationTeaching and Learning Mathematics Online
EditorsJames P Howard II, John F Beyers
Place of PublicationNew York
PublisherChapman and Hall/CRC
Number of pages18
ISBN (Electronic)9781351245586
Publication statusPublished - 25 Jun 2020


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