The development and evaluation of an online educational tool for the evidence-based management of neck pain by chiropractic teaching faculty
Bibliographic record
Abstract
OBJECTIVE: To develop an online, interactive educational tool to deliver an evidence-based clinical practice guideline to faculty members at a Canadian chiropractic college. Second, to evaluate the learning, design, and engagement constructs of the tool in a sample of chiropractic faculty members. METHODS: Using an integrated knowledge translation methodology and the Knowledge to Action Framework, we developed an evidence-based online learning tool. The context of the tool focused on a clinical practice guideline on the management of neck pain. We evaluated the learning, design, and engagement constructs in a sample of faculty members and residents using the Learning Object Evaluation Scale for Students. Participants were also asked to provide suggestions for improvement of the tool. RESULTS: Sixteen participants completed the evaluation. Most (68.8%) participants were chiropractors, 75% were male and 56% were between the ages of 25 and 44 years. At least 75% of participants agreed that the learning, design, and engagement constructs of the learning tool were adequate. The open-ended suggestions unveiled 3 pedagogical themes, relating to multimedia, thinking skills, and learner control, within the tool that could benefit from further development. These themes informed recommendations to improve the tool. CONCLUSION: Our online, interactive, module-based learning tool has sound pedagogical properties. Further research is needed to determine if its use is associated with a change in knowledge.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".