Studying Online: Student Motivations and Experiences in ALA-Accredited LIS Programs
Bibliographic record
Abstract
This paper presents a large scale study of online MLIS students (n = 910), who completed at least one online course and were enrolled in 36 of the 58 ALA-accredited MLIS programs in Canada and the United States. The results indicate that the typical student is female, White, lives in an urban setting, and is in her mid-30s. Online students were found to be quite diverse, with statistically significant differences in their preferences and satisfaction across five demographic variables: age (generational cohort), employment status, urban status, commute distance, and program modality. Three motivations emerged: accommodation, predisposition, and selectivity, which influenced the respondents to choose online learning. The prevalent issues online MLIS students experienced were a sense of isolation from peers and instructors, and a lack of professional development and networking opportunities with peers. The findings have implications for enhancing MLIS online education including marketing, course offerings, and student support services.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".