Black university students’ lived connections between classroom assessment and motivation
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
• 20 Black college students describe the connection between assessment and motivation. • The reality of being Black permeated all experiences. • Students felt personal and social pressure to excel in assessment and persist. • Vague assessment criteria were perceived as having more space for racism and bias. • Students took assessment very seriously and were motivated to achieve. Most school systems involve an implicit connection between classroom assessment and student motivation. How visible minority students, particularly students who are Black, experience this connection given the historical and ongoing racism associated with assessment practices, is unknown. This study aimed to understand how Black students in North American post-secondary settings experience assessment and its association with motivation. Using an interpretive phenomenological analysis, we conducted focus groups with 20 Black students with various cultural backgrounds to discern connections between assessment and motivation in the North American context. We identified three overarching themes that described how participants connect assessment with motivation: the reality of being Black; a combined desire and need to excel; and nuances of the assessment and environment. The examples participants shared align with much of the existing literature documenting the tension between experiences of anti-black racism and individual and familial expectations for success, that create importance around assessment and sustain motivation. We discuss the results in light of the attitude-achievement paradox and provide recommendations for instructors regarding the assessment climate.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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