Information Literacy and Retention: A Case Study of the Value of the Library
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective - The authors investigated the impact of library instruction on information literacy (IL) skills as part of ACRL’s AiA initiative. Additionally, the researchers sought to determine whether there was a relationship between IL tests scores and research experiences with student success outcomes such as retention. Methods - The researchers administered a standardized IL test to 455 graduate and undergraduate students in multiple disciplines. They then collected outcome data on GPA, retention, and graduation three years later. Results - While there were no significant differences between those students who had instruction and those who did not on the IL test, a regression analysis revealed that experience writing research papers that required library resources and an individual’s use of library books throughout their academic career demonstrated significant, positive relationships with whether a student passed the information literacy test. Additionally, using the longitudinal data on GPA, retention, graduation, and employment, the researchers found that students’ IL scores were significantly correlated with their GPAs, and that students who passed the IL test were more likely to be retained or graduate within six years. Conclusion - The ability to demonstrate IL skills appears to contribute to retention and graduation and, therefore, may be an integral part of one’s academic success. Further, experience writing research papers and other meaningful assignments contributes to student success.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.705 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it