Digital Badges for Professional Development: Supporting Library Personnel with the CLA School Library Standards
Bibliographic record
Abstract
The Canadian Library Association published Leading Learning, a library standards guide for school libraries in 2014. The Quebec School Librarians Network (QSLiN) adapted these standards into a digital badge professional development program. Digital badges are a means for providing online learning, assessment and credentials in an interactive and dynamic way. They allow achievers to gain new knowledge and be recognized for skills and competencies that may otherwise go unnoticed. QSLiN’s digital badge program facilitates the transition of traditional school libraries into school Library Learning Commons. This badge program pilot project hopes to connect the Canadian school library community as well as provide an accessible and user-friendly form of professional development to all school library personnel regardless of their location. Research suggests that the two greatest barriers to professional development are time and money. As such, having a free online program helped to alleviate both barriers. This paper discusses the process we undertook at QSLiN to incorporate digital badges into our professional development initiatives. We will discuss the first phase of this pilot project as well as address future considerations for the program. L’Association canadienne des bibliothèques a publié Leading Learning, un guide sur les normes de bibliothèque, pour les bibliothèques scolaires en 2014. Le Québec School Librarians Network (QSLiN) a adapté ces normes pour créer un programme de développement professionnel de badge numérique. Les badges numériques sont un moyen de fournir l’apprentissage, l’évaluation et la qualification en ligne de manière interactive et dynamique. Ils permettent aux personnes motivées d’acquérir des nouvelles connaissances et d’être reconnues pour des compétences qui pourraient sinon passer inaperçues. Le programme de badge numérique de QSLiN facilite la transition des bibliothèques scolaires traditionnelles en carrefours d’apprentissage. Ce projet pilote espère rapprocher la communauté des bibliothèques scolaires canadiennes ainsi que fournir une forme de développement professionnel qui est accessible et conviviale à tout personnel des bibliothèques scolaires quel que soit l’endroit où on se trouve. Des recherches suggèrent que les deux barrières les plus grandes du développement professionnel sont le temps et l’argent. Par conséquent, avoir un programme gratuit en ligne a aidé à réduire ces deux barrières. Cet article traite du processus que nous, au QSLiN, avons entrepris pour incorporer les badges numériques dans nos initiatives de développement professionnel. Nous discuterons de la première phase de ce projet pilote et aussi des considérations futures pour le programme.
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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 | 0.019 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.016 | 0.005 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.003 | 0.013 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.025 | 0.008 |
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".