Redesign of a First-Year Theory Course Sequence in Biostatistics Article Swipe

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Jesse D. Troy , Kara McCormack , Steven C. Grambow , Gina‐Maria Pomann , Greg Samsa ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.5430/jct.v11n8p1

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.

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Computer Science

Statistical Inference

Curriculum

Mathematical Proof

Process (Computing)

Mathematics Education

Data Science

Artificial Intelligence

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Biostatistics Inference Computer science Statistical inference Salient Presentation (obstetrics) Curriculum Mathematical proof Process (computing) Mathematics education Data science Artificial intelligence Psychology Mathematics Pedagogy Statistics Programming language Nursing Medicine Public health Radiology Geometry

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Type: article
Language: en
Landing Page: https://doi.org/10.5430/jct.v11n8p1
PDF: https://www.sciedupress.com/journal/index.php/jct/article/download/21550/14072
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DOI: https://doi.org/10.5430/jct.v11n8p1

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Title: Redesign of a First-Year Theory Course Sequence in Biostatistics

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Language: en

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Publication year: 2022

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Publication date: 2022-10-23

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Authors: Jesse D. Troy, Kara McCormack, Steven C. Grambow, Gina‐Maria Pomann, Greg Samsa

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Landing page: https://doi.org/10.5430/jct.v11n8p1

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Concepts: Biostatistics, Inference, Computer science, Statistical inference, Salient, Presentation (obstetrics), Curriculum, Mathematical proof, Process (computing), Mathematics education, Data science, Artificial intelligence, Psychology, Mathematics, Pedagogy, Statistics, Programming language, Nursing, Medicine, Public health, Radiology, Geometry

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