INNOVATION IN A CAPSTONE COURSE IN YOUTH WORK
Bibliographic record
Abstract
Capstone courses often focus on applied learning, typically practicum experiences such as internships. However, students do not always benefit as much as they could from their internships because teaching and learning resources are not used optimally. This paper explores the use of project-based learning in a capstone course of the Graduate Diploma in Youth Work program at Concordia University that includes an in-class seminar and an internship in a human services agency. Using the principles of context authenticity and cognitive apprenticeship from the Authentic Situated Learning and Teaching (ASLT) framework, we examine the experiences of two cohorts of interns (24 students in all). An analysis of their final papers and participation in a focus group, as well as the results of the university’s course evaluation, suggests that the ASLT framework contributes to the transfer of learning in a professional setting. Furthermore, the use of the psychoeducative model to structure active pedagogies in a youth work capstone course provides a means for planning therapeutic activities and organizing intervention programs that help develop competencies to work in diverse settings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".