Amplifying Value: Assessment of Asynchronous Embedded Library Instruction and the Influence of Faculty Endorsements
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
“Embedded” librarian programs can take many different forms. At Royal Roads University, librarians embed asynchronously in research-intensive courses via a hosted online forum. Over three to five days, the embedded librarian presents a series of posts on key information literacy topics and invites students’ questions and comments. This research project undertook to investigate both the general effectiveness of this embedding approach (in terms of student learning and engagement) and the relationship that may exist between instructors’ promotion of the forum and student engagement and/or learning. Quantitative data on student learning and engagement was collected through a pretest/post-test and qualitative data was collected from instructor comments within the LMS course shell. The results of this study indicate that embedding is moderately effective at increasing student knowledge, and that robust instructor encouragement of student participation correlates positively with both student engagement and student learning. We conclude that embedding is an effective information literacy instruction method that can be made more effective through increased relationship-building with faculty and program staff.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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