ERIC Number: EJ1349374
Record Type: Journal
Publication Date: 2022
Pages: 3
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1470-8175
EISSN: EISSN-1539-3429
Available Date: N/A
Teaching Biology Students Data Exploration and Visualization in a Data-Driven World
Biochemistry and Molecular Biology Education, v50 n5 p463-465 Sep-Oct 2022
As biologists accumulate or encounter increasingly large and complex data sets, our field creates the need for students to develop skills in data exploration and visualization. Many biology courses lack the time for students to develop the skills needed to parse complex datasets and visualize them appropriately. We developed a new upper-level undergraduate biology course to focused on data exploration and communication without requiring previous coding experience. We emphasized data visualization principles and best practices and taught students how to manage and visualize data via Tableau and R. We also explored scientific ethics, how to refute misinformation, and inequities that can occur in data collection and usage.
Descriptors: Science Instruction, Biology, Undergraduate Students, Data Collection, Visualization, Best Practices, Information Management, Visual Aids, Computer Software, Scientific Principles, Ethics, Misconceptions
Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www-wiley-com.bibliotheek.ehb.be/en-us
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A