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ERIC Number: EJ1418495
Record Type: Journal
Publication Date: 2024
Pages: 7
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2693-9169
Teaching Students to Read COVID-19 Journal Articles in Statistics Courses
Lu Ye; Yu Jin
Journal of Statistics and Data Science Education, v32 n2 p143-149 2024
Statistics is interdisciplinary and the practical application of statistical methods in various areas prompts undergraduates to learn more about statistics and better understand complex methods. This article presents a classroom teaching design that guides students in reading COVID-19 literature. The activities presented encourage peer-peer and student-instructor interaction, which can be modified based on the type of course offered as well as the level and major of students by changing the articles required for reading. The teaching activities are designed with evidence-based teaching strategies such as scaffolding and connecting the activities to learning outcomes aligned with levels of Bloom's Taxonomy. In our experience, the COVID-19 literature teaching activity improves students' learning interest, cultivates students' critical thinking, and enhances students' understanding of theoretical methods. Supplementary materials for this article are available online.
Taylor & Francis. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A