Your browser doesn't support javascript.
Preprint articles as a tool for teaching data analysis and scientific communication.
Scheifele, Lisa Z; Tsotakos, Nikolaos; Wolyniak, Michael J.
  • Scheifele LZ; Department of Biology, Loyola University Maryland, Baltimore, Maryland, United States of America.
  • Tsotakos N; School of Science, Engineering, and Technology, Penn State Harrisburg, Middletown, Pennsylvania, United States of America.
  • Wolyniak MJ; Department of Biology, Hampden-Sydney College, Hampden-Sydney, Virginia, United States of America.
PLoS One ; 16(12): e0261622, 2021.
Article in English | MEDLINE | ID: covidwho-1597835
ABSTRACT
The skill of analyzing and interpreting research data is central to the scientific process, yet it is one of the hardest skills for students to master. While instructors can coach students through the analysis of data that they have either generated themselves or obtained from published articles, the burgeoning availability of preprint articles provides a new potential pedagogical tool. We developed a new method in which students use a cognitive apprenticeship model to uncover how experts analyzed a paper and compare the professional's cognitive approach to their own. Specifically, students first critique research data themselves and then identify changes between the preprint and final versions of the paper that were likely the results of peer review. From this activity, students reported diverse insights into the processes of data presentation, peer review, and scientific publishing. Analysis of preprint articles is therefore a valuable new tool to strengthen students' information literacy and understanding of the process of science.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Science / Teaching / Preprints as Topic / Data Analysis Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0261622

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Science / Teaching / Preprints as Topic / Data Analysis Limits: Humans Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0261622