Early Literacy Learning for Future Library Paraprofessionals: Authentic Learning in Library Education
Bibliographic record
Abstract
This article describes the professional learning around early literacy experienced by library paraprofessional students at a post-secondary institution in Canada. Students completed a survey to gauge their conceptions of early literacy at the beginning of a course on library services for children and young adults. These students then experienced hands-on, engaging course elements such as in-class discussions, guest speakers, and authentic assessments. At the conclusion of the course, students were again surveyed and were asked to identify course elements that contributed to their learning. Most students aligned with an emergent literacy approach to early literacy. While a comparison between the two surveys did not reveal a significant difference in terms of students’ conceptions of early literacy, multiple students identified the hands-on elements of the course as beneficial. The researchers conclude that providing authentic professional learning opportunities that include knowledge application reinforces learners’ conceptions about emergent literacy.
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How this classification was reachedexpand
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.002 | 0.208 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".