The Future of RT/TR Education: Results from the ATRA Higher Education Task Force Study
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
In 2016, the American Therapeutic Recreation Association (ATRA) Board of Directors created a task force within its Higher Education Committee to study the educational requirements for entry-level education in recreational therapy/therapeutic recreation (RT/TR) and make recommendations to the Board. From 2016-2018, the task force planned and implemented a multiphase mixed methods study with approximately 2,000 RT/ TR practitioners, educators, students, and credentialing and accrediting bodies from across the United States and Canada. During the first phase of the study, in-person focus groups were completed with 25 practitioner groups (N=257), 10 educator groups (N=49), and 17 student groups (N=222) at 19 state and regional conferences and meetings, as well as during four online focus groups using the Zoom videoconferencing platform. Interviews were conducted with board members of six RT/TR credentialing and accrediting bodies. During the second phase of the study, online surveys were completed by RT/TR practitioners (N=1,663), educators (N=141), and students (N=483). The central finding suggests the most current and pressing need in higher education is to improve the quality and consistency of the bachelor’s degree in RT/TR. Five mixed-method results supporting the central finding are presented, and data-driven recommendations to improve professional preparation in RT/TR are discussed.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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