Library Learning: Undergraduate Students’ Informal, Self-directed, and Information Sharing Strategies
Bibliographic record
Abstract
A focus group study of fourteen University of Saskatchewan second to fourth year humanities and social science undergraduate students was conducted in the fall of 2011. The purpose of the research was to determine how students learn about library resources and services. Findings indicate that the participants often use a variety of informal, self-directed and information sharing strategies. Seeking help from professors, peers, friends, and family members is a common practice. Convenience, familiarity, and perceived knowledge are key factors that determine who and how these students learn about the library. Formal instruction and seeking assistance from librarians did not resonate for participants as a typical approach for learning about the library. The author suggests that undergraduate students engage in informal learning and information sharing as many ‘adult learners’ do, similar to an employment setting. The library, within the formal educational structure, lends itself to a more informal learning context. The study concludes that libraries must continue to develop resources, services, and innovative programs that support students’ informal learning styles, while also providing formal instruction as part of the undergraduate curriculum ensuring students are exposed early on to core foundational skills that contribute to their success as informal and self-directed learners.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".