Participation in online continuing education
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
OBJECTIVES: The ADAPT (ADapting pharmacists' skills and Approaches to maximize Patients' drug Therapy effectiveness) e-learning programme requires weekly participation in module activities and facilitated discussion to support skill uptake. In this study, we sought to describe the extent and pattern of, satisfaction with and factors affecting participation in the initial programme offering and reasons for withdrawal. METHODS: Mixed methods - convergent parallel approach. Participation was examined in qualitative data from discussion boards, assignments and action plans. Learner estimations of time commitment and action plan submission rates were calculated. Surveys (Likert scale and open-ended questions) included mid-point and final, exit and participation surveys. KEY FINDINGS: Eleven of 86 learners withdrew, most due to time constraints (eight completed an exit survey; seven said they would take ADAPT again). Thirty-five of 75 remaining learners completed a participation survey. Although 50-60% of the remaining 75 learners actively continued participating, only 15/35 respondents felt satisfied with their own participation. Learners spent 3-5 h/week (average) on module activities. Factors challenging participation included difficulty with technology, managing time and group work. Factors facilitating participation included willingness to learn (content of high interest) and supportive work environment. Being informed of programme time scheduling in advance was identified as a way to enhance participation. CONCLUSIONS: This study determined extent of learner participation in an online pharmacist continuing education programme and identified factors influencing participation. Interactions between learners and the online interface, content and with other learners are important considerations for designing online education programmes. Recommendations for programme changes were incorporated following this evaluation to facilitate participation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| 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 | 0.002 |
| 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 it