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Record W1527245244 · doi:10.18438/b8wc91

Undergraduate Library Instruction in the Humanities Increases the Use of Books Over Journals

2012· article· en· W1527245244 on OpenAlexaffvenue
Mê‐Linh Lê

Bibliographic record

VenueEvidence Based Library and Information Practice · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCitationClass (philosophy)Descriptive statisticsLibrary scienceComposition (language)Computer scienceMathematics educationLibrary instructionQuality (philosophy)PsychologyInformation literacyMathematicsStatistics

Abstract

fetched live from OpenAlex

Objective – To assess the impact of in-class library instruction sessions on the quantity, quality, and format of resources cited by undergraduate students. Design – Citation analysis and literature review. Setting – A public university in the United States with approximately 9,000 undergraduate students. Subjects – Undergraduates in eight first-year Composition I classes and five upper-level Humanities classes at Florida Gulf Coast University (FGCU). Methods – This study consisted of three components. In the first, first-year students with little to no academic library experience from eight classes of first-year Composition I were divided into two groups: those who received library instruction and those who did not. The instruction sessions were all taught by the same librarian, were one-hour hands-on classes held in a computer lab, and focused on basic library information, searching the catalogue, as well as searching journal databases. Later in the term, the citation pages from papers submitted by the students as a class assignment were analyzed by the authors who looked at the average number of citations employed in each paper, the frequency of scholarly citations, and the frequency of source/format type (e.g., book, article, website, etc.). SPSS was used for data recording, storage, and to calculate statistics (although it should be noted that the authors do not include any of the descriptive statistics that can be generated by SPSS). In the second component, which attempted to discern if there were any differences in the citations used by students from the different disciplines, the same form of citation analyses was performed on bibliographies from upper-level students enrolled in five History, Art History, Art, and English classes who had participated in a library instruction session in the past. The results of the two citation analyses (Composition I versus upper-level students) were then compared. The third component compared the results of the citation analyses to data extracted from five similar studies in order to determine if the FGCU findings were typical of undergraduate students or deviated from the norm. Main Results – The comparison of citations from the Composition I students showed that students who received a library instruction session had more average citations per paper (5.3 to 3.2); used slightly more scholarly sources (51.7% to 49.4%); were much more likely to use books (25.6% vs. 6.3%) or magazines and newspapers (18.5% vs. 9.6%) as a source; and were less likely to cite journal articles (16.3% vs. 27.3%) than their counterparts who received no library instruction. Students who had not received instruction were more likely to use videos (5.4% vs. 2.8%) or course texts and handouts (11.7% vs. 0%). Both groups exhibited a preference for material that could be accessed online, and web sites were the most frequently cited source, accounting for nearly one-third of all citations. When the results from the Composition I students who received library instruction were compared to upper-level students who had received instruction in the past, it was found that the average number of citations increased as the course level got higher (i.e., fourth year students used more citations than third year, who used more than second year, etc.). In general, the number of scholarly sources also increased as the course level did. The analysis also showed a strong preference for books over journal articles throughout all classes and course level. Preference for other formats (e.g., web sites, reference sources) varied a great deal and in many cases could be attributed to the nature of the assignments. In order to determine whether the FGCU findings were typical of the undergraduate experience, the citation analyses were compared to five other institutions across the U.S. Results show that the FGCU findings were similar in some aspects; two other institutions also displayed a preference for books, but usage of journal articles in upper-level courses was either the same or lower at FGCU compared to other institutions. Conclusion – For many academic liaison librarians, instruction is an important and time-consuming part of their job. The nature of many library instruction sessions – frequently one-time classes at the beginning of a semester – means instruction is often given without much attention to the impact of the session on the quality of students’ work. This study addresses this issue in order to determine whether library instructions sessions should continue at FGCU in their present format. The findings broadly indicate that library instruction has a large impact on the number of books used and the overall number of resources cited, and a very small impact on the number of scholarly sources cited. It appears that the increased reliance on books by students comes at the expense of journal articles, which were much more frequently used by students who had not received instruction. The study also found that as students progress in their studies, they cite more material and use more scholarly material. This finding is seen in a number of other citation analysis studies located through a literature search. Ultimately, the authors believe that this study demonstrates the usefulness of the library sessions to students, as it causes them to cite more sources, to cite a wider variety of sources, and to cite more books. It is possible that some of the negative findings of the study, specifically related to low journal usage, may be used to alter the structure or content of future library sessions offered by FGCU librarians.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.046
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.998
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.046
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0200.002

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.

Opus teacher head0.064
GPT teacher head0.304
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2012
Admission routes2
Has abstractyes

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