Bibliographic record
Abstract
This article is based on a study that explored pre-service teachers’ (PSTs) perceptions of assessment as a result of their participation in a foundations course in a teacher education program, in which assessment was taken up as a partnership. Upon completion of the course, PSTs responded to the question: What was your experience of assessment as a partnership? Using McGowen and Tall’s (2010) concept of a “met-before” (a learner’s mental structure as a result of previous learning experiences), responses were identified that evidenced assessment met-befores. Thematic analysis revealed three categories of met-befores: (a) assessment within systems of telling and compliance, (b) self-assessments do not count, and (c) grades determined through events. These categories and their influences on students’ sense-making of their role in assessment partnerships are discussed. Based on the findings, recommendations are made for teacher educators and professors in higher education to consider the role met-befores play in student learning and the potential for developing future supportive assessment met-befores with students.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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 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".