ERIC Number: EJ1349437
Record Type: Journal
Publication Date: 2022
Pages: 4
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1470-8175
EISSN: EISSN-1539-3429
Visualizing Protein Data Sets in R through a Student Peer-Review Rubric
Biochemistry and Molecular Biology Education, v50 n5 p453-456 Sep-Oct 2022
The R programming language and computing environment is a powerful and common platform used by life science researchers and educators for the analysis of big data. One of the benefits of using R in this context is its ability to visualize the results. Using R to generate visualizations has gained in popularity due to the increased number of R packages available to convert data to graphic display. In this paper, I ask the following question: how can student engagement with protein analysis be promoted using R-based visualizations in the classroom? During the 2021 IUBMB/ASBMD workshop "Teaching Science with Big Data", I presented a teaching strategy that used R for the visualization of protein data. In this report, I provide a teaching procedure and a summary of how students engaged with these data in our Introduction to R for Professional Data Science class. This report is based on a case study methodology by reviewing student peer comments for protein analyses conducted in R. The results indicated that students were active participants in the peer-review process and that they learned to take a critical view of data visualization.
Descriptors: Visual Aids, Peer Evaluation, Scoring Rubrics, Programming Languages, Biological Sciences, Data Analysis, Data Interpretation
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://bibliotheek.ehb.be:2191/en-us
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