16. “Learning by Doing” in a Graduate Course in Human Development and Family Studies: Service Learning Utilizing an Evaluation Project
Bibliographic record
Abstract
The purpose of this paper is to share our experiences involving a creative approach to service learning that was implemented in a Human Development and Family Studies graduate course. In our departmental pursuit of evolving scholarship and promoting scholarly teaching and learning (Kopera-Frye, Hilton, & Cavote, 2003), this course represents an example of how one can promote higher-level learning among our future professionals. This service learning approach utilized in this particular course focuses on needs assessment and program evaluation, a direction not usually found in typical service learning projects that involve a social volunteerism approach. By discussing the theoretical basis for the project, course format, and providing some qualitative/evaluative data, we will contribute to the knowledge base on innovative ways to promote scholarly learning. Challenges and issues that need to be anticipated before designing this type of service learning experience will be highlighted.
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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 | 0.010 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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".