The VALUE of Community Engaged Teaching and Learning is in the Values: Advancing Students’ Learning Outcomes
Bibliographic record
Abstract
Community engaged teaching and learning (CETL) is an active, authentic experiential learning pedagogy and a high impact educational practice (HIEP) that can advance undergraduate and graduate course learning outcomes. Using mixed-methods we heard from students from sociology courses about their CETL experiences. We highlight three specific insights. First, CETL can be used to achieve university-level learning outcomes. Second, CETL provides an opportunity to develop community engaged scholarship course learning outcomes linking CES principles to related knowledge, skills, and values. Third, CETL offers a unique opportunity to extend the conceptualization of civic values toward equity and social justice.
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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 | 0.254 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.046 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.000 | 0.058 |
| 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; 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".