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Redesign of a First-Year Theory Course Sequence in Biostatistics

Authors :
Jesse D Troy
Kara McCormack
Steven C Grambow
Gina-Maria Pomann
Gregory P Samsa
Source :
Journal of Curriculum and Teaching. 11:1
Publication Year :
2022
Publisher :
Sciedu Press, 2022.

Abstract

This communication describes the process and results of a curriculum review of a first-year sequence of courses in statistical inference within a Master of Biostatistics program. Our primary aim was to develop an innovative course in statistical theory that meets the needs of a diverse student audience, the majority of whom are seeking a terminal master’s degree while a minority will pursue PhD training in biostatistics. The main results were (1) different course paths for job-bound and PhD-bound students; and (2) the development of an innovative first course in statistical inference, which is a computationally-aided self-discovery of a salient (albeit not comprehensive) set of key concepts and techniques pertaining to statistical inference. The redesign process addressed a key conceptual barrier: namely, the unexamined assumption that deductive proofs are a necessary condition for rigorous presentation. Consistent with the principles of constructivism, we navigated this barrier by redefining the task to which pedagogic rigor should be applied: namely, to help students to develop a sound mental map of statistical inference. We believe that the approach we used to accomplish this redefined task could be generalized to additional aspects of statistical education, among others.

Subjects

Subjects :
Education

Details

ISSN :
19272685 and 19272677
Volume :
11
Database :
OpenAIRE
Journal :
Journal of Curriculum and Teaching
Accession number :
edsair.doi...........9eb7696d68c515efada9325b513a51ef
Full Text :
https://doi.org/10.5430/jct.v11n8p1