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ERIC Number: EJ1332172
Record Type: Journal
Publication Date: 2022
Pages: 16
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1051-1970
EISSN: N/A
Creating and Assessing an Academic Learning Community between Biology and Statistics Courses
Ryu, Hwayeon; Zhu, Bin
PRIMUS, v32 n3 p416-431 2022
Biology students need analytical and critical thinking skills to analyze data and apply their knowledge to real-life situations. To meet this growing need while helping students to discover the relevance of learning through applications, we created an academic learning community (LC) between Ecology and Biostatistics courses. Selected case-studies and their corresponding data from the Ecology lab were incorporated into Biostatistics. Our data demonstrated that the LC group might have improved their statistical knowledge and their understanding of ecological problems more than the non-LC group and that LC promoted interactions among students and between instructors and students. We discuss key criteria that permitted the LC development, the evidence of its effectiveness, limitations of this study, and ways to improve the LC.
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; Tests/Questionnaires
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Connecticut (Hartford)
Grant or Contract Numbers: N/A