Experiential Learning through Community-based Experiences: A Graduate Student Perspective
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
Experiential learning (EL) has become essential for graduate students to meet the demanding nature of professional environments, equipping them with skills in leadership, problem solving, and civic consciousness. Community based learning (CBL), as an identified EL strategy, involves a collaborative learning model emphasizing group membership and community engagement. CBL not only enhances graduate skills, but also places graduate student research within a larger social context, and encourages deeper understanding of their discipline. This paper discusses a 90-minute workshop that focused on a graduate student experience with CBL and proposes a framework for integrating CBL into graduate studies. The framework proposes the use of positionality and mindful inquiry methods to identify learner-specific EL activities. Workshop participants reflected on their positionalities, and discussed how positionality can be used to guide mindful inquiry in seeking CBL activities. Further, we report on participant identified contextual and administrative barriers to integration of CBL into graduate curricula. As EL becomes an important mandate for postsecondary institutions to incorporate into student learning, this paper provides a valuable graduate student perspective that can add insight into the practicality of applying CBL in graduate education.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.005 |
| 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 it