Project-Based Museum-School Partnerships in Support of Meaningful Student Interest- and Equity-Driven Learning Across Settings
Bibliographic record
Abstract
Abstract: In this paper, I focus on two teachers’ experiences with project-based museum-school partnerships that they participated in with their students. The partnerships implied collaborations with scientists, archaeologists, and artists in their classrooms, as well as informal educators from museums tied to the projects. The projects made new ways to engage in student interest-driven cross-setting learning available to the students and teachers. The participating teachers seemed to suggest a need to move towards the co-design of such partnerships in the future with youth—a process that could be initiated in teacher education programs or supported through innovative approaches to professional development.KEYWORDS: Museum-school partnership; project-based learning; cross-setting learning;archaeology education; science education; arts education, robotic.Résumé: Je traite dans cet article de l’expérience de deux enseignants dans le cadre de projets de partenariats musée-école auxquels ont participé leurs étudiants. Ces partenariats exigeaient de collaborer avec des scientifiques, des archéologues et des artistes en salles de cours, sans oublier des éducateurs officieux des musées impliqués. Les projets ont exploré de nouvelles voies d’apprentissage croisé axé sur les intérêts des étudiants, accessibles aux étudiants et aux enseignants. Il appert que les enseignants participants jugent nécessaire de privilégier à l’avenir ce type de partenariats concertés avec la jeunesse, un processus qui pourrait être initié dans le cadre de programmes de formation des enseignants ou soutenu par le biais d’approches novatrices dans le domaine de perfectionnement professionnel.MOTS CLES: Programme de partenariat entre l’école et la musée; apprentissage basé au projet; apprentissage de cadre transversal; éducation archéologique; la formation artistique en sciences; la robotique;
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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 | 0.006 | 0.005 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; a candidate call from one teacher head, 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".