Mixed Method Study Examines Undergraduate Student Researchers’ Knowledge and Perceptions About Scholarly Communication Practices
Bibliographic record
Abstract
A Review of: Riehle, C. F., & Hensley, M. K. (2017). What do undergraduate students know about scholarly communication?: A mixed methods study. Portal: Libraries and the Academy, 17(1), 145–178. http://dx.doi.org/10.1353/pla.2017.0009 Abstract Objective – To examine undergraduate student researchers’ perception and understanding of scholarly communication practices and issues. Design – Mixed method study involving a survey and semi-structured interviews. Setting – Two major undergraduate universities in the Midwest region of the United States. Subjects – Undergraduate students who participated in or had completed undergraduate research experiences with faculty mentors. Method – The method was first approved by Institutional Review Board offices at both campuses involved in the study. Then, students received invitations to participate in a survey via email (Campus 1 = 221 students; Campus 2 = 345 students). Identical online surveys ran separately on each campus; both remained open for a period of three weeks. All respondents received a reminder email one week before the survey closed. Participants answered twelve questions related to demographics and scholarly communication practices. The survey examined knowledge and experience across five areas: the peer review process, author and publisher rights, publication and access models, impact of research, and data management. All students who completed the survey were entered in a drawing for a $50 Amazon card. The response rates were 34.8% (Campus 1) and 18.6% (Campus 2). Surveys on both campuses were administered using different software: campus 1 utilized Qualtrics survey software while campus 2 used an institution-specific survey software. Data sets were normed and merged later in the study to enable comparison and identify broad themes. Survey respondents were also invited to participate in a 15 to 20 minute follow-up interview and were compensated with a $20 Amazon gift card. The interviews consisted of four open-ended questions that further examined students’ knowledge of scholarly communication practices. The researchers coded interview transcripts and identified themes. Qualitative software was used to analyze the surveys and assess coder agreement. Finally, connections and anomalies between survey and interview results were explored. Main Results – Quantitative and qualitative data collected during the study indicate that students were most confident in their understanding of the peer-review process and data management but felt less confident in their knowledge of author and publisher rights, publication and access models, and determining the impact of scholarly research publication. In addition, they value instruction related to scholarly communication topics like the peer-review process, publication models, and data management. However, few students feel confident in their current level of knowledge or ability surrounding the previously mentioned topics. Study findings suggest that this knowledge gap is based on a lack of training or discussion of scholarly communication topics in relation to students’ research activities. Results also suggest that undergraduate students have difficulty articulating their rights as authors and their scholarly communication practices. In many cases, skill sets like data management are learned through trial and error while students progress through the research process. In some cases, faculty mentors have misperceptions and assumptions about undergraduate students’ knowledge and abilities regarding scholarly communication practices. This can create challenges for undergraduate students as they attempt to make informed decisions about research activities based on a limited foundation of experience or information. Finally, results indicate that undergraduate student researchers do not currently view the library as a place to learn about scholarly communication practices. The authors suggest that by forming strategic relationships with undergraduate research program directors, faculty, and graduate student mentors, librarians are in a prime position to incorporate scholarly communication practices into information literacy sessions or provide point-of-need coaching. Conclusion – The researchers conclude that academic libraries are in a unique position to support overarching research, teaching, and learning goals within the academic community. By developing programs that support information literacy and scholarly communication, libraries demonstrate value and align goals with teaching and learning priorities within the higher education community as a whole. Through this work, librarians support students as knowledge creators and advocate for training that emphasizes data literacy, copyright and authors’ rights, and the impact of research within specific disciplines.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.029 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".