| Literature DB >> 34932610 |
Lisa Z Scheifele1, Nikolaos Tsotakos2, Michael J Wolyniak3.
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.Entities:
Mesh:
Year: 2021 PMID: 34932610 PMCID: PMC8691640 DOI: 10.1371/journal.pone.0261622
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Suggested and actual changes between preprint and final versions.
| Student Critique of Preprint (Part 1) | Student Analysis of Final Paper (Part 2) | |||
|---|---|---|---|---|
| Avg. | Range | Avg. | Range | |
| Additional repetition, controls, or extension of experiment | 0.88 | 0–5 | 1.58 | 0–5 |
| Statistical test needed | 0.08 | 0–1 | 0.09 | 0–1 |
| Clarification needed | 0.96 | 0–3 | 0.67 | 0–4 |
| Inappropriate conclusions drawn from data | 0.13 | 0–1 | 1.04 | 0–3 |
| Total number of critiques | 2.04 | 0–9 | 3.38 | 0–10 |
| Changes in common between parts 1 and 2 | 0.08 | 0–1 | ||
| Changes in part 2 not identified in part 1 | 3.25 | 0–10 | ||
The average and range for the number of critiques of the preprint version of the article (based on the worksheet Student Critique of Preprint Part 1; S1 File) and the average and range for the actual number of changes that students identified between the preprint and final versions of the paper (based on the worksheet Student Analysis of Final Paper Part 2; S2 File).
Fig 1Average number of changes between the preprint and final versions.
The number of changes as identified by students in the introduction (light gray bars), results (hatched bars), and discussion (dark gray bars) sections. Error bars represent the standard deviations for each value.
Results of student reflections on the preprint analysis activity.
| Reading papers | The changes focus the reader on important points. |
| “There are many bits of information that I miss while reading.” | |
| The figures and text complement each other. | |
| Each figure aimed to prove one claim. | |
| It reinforced the importance of figures relative to the text interpretations. | |
| The need to scrutinize data | |
| Reading scientific literature is a skill that must be developed over time. | |
| Can skip around the paper when reading | |
| Scrutiny is required to fully grasp the meaning of figures and data. | |
| “I also learned that not fully understanding certain vocabulary in a paper does not mean I can’t understand the bigger picture.” | |
| Language in scientific writing | The importance of wording |
| Every detail has to be explained | |
| Write to the reader; you need to communicate effectively. | |
| It’s best to be simple and concise; leave interpretation to the discussion. | |
| Need to communicate findings effectively and to be as specific as possible to prevent misinterpretations | |
| Use and presentation of data | Experiments build on previous work. |
| Scientists use multiple pieces of evidence to support claims. | |
| “I found that there is a lot that goes into making a claim, in effort to come up with data that is consistent and considers all aspects of the claim being made.” | |
| “Need to….obtain not only enough, but quality experimental results” | |
| Scientists present both the strongest research and also weaker data that provides context. | |
| Scientists use multiple methods to prove one claim. | |
| Need to present data effectively | |
| The way that the data is presented is important. | |
| Data may not fit the scientists’ theory. | |
| Interpretation of data | “Sometimes you don’t interpret the data the same way the scientist who did the experiment.” |
| “Even if the overwhelming preponderance of evidence is in your favor, you must provide alternatives that could explain the findings of the data.” | |
| Initial thinking about the data may change and may become more advanced as the publication process advances. | |
| Judgement is required: even researchers don’t always know what is important to support their thesis. | |
| Scientific publishing and peer review | How specialized certain scientists, and their fields of interest are |
| In final paper, “the information is clearer and more focused”. | |
| Data is shared long before the publication date. | |
| Going from the preprint to the final is a “shaving down process”. | |
| “I learned just how important details can be when publishing scientific research. Even the smallest things were commented on by the reviewers and would prevent the piece from being published until corrected.” |
Fig 2Student views of preprint articles and what changes could be implemented in the preprint process.
Student responses to the worksheet questions of whether “preprint servers are a good way to get results out in a hurry”, whether “the [preprint] publishing process … achieved an appropriate balance between getting research results out quickly … versus the need for high-quality, complete, and reproducible research?” and whether “we [should] maintain this process, or are there changes that should be implemented?” Representative codes resulting from qualitative analysis are depicted.
Fig 3Student learning gains resulting from the preprint analysis activity.
Student responses about “what, if anything, [they learned] about presenting and interpreting research data” and “about the scientific publishing process” were analyzed and representative first-level (bullet points) and second-level (title) codes are shown.
Fig 4Scaffolded learning using preprint articles.