Outcomes of Modified Formal Online Debating in Graduate Nursing Education
Bibliographic record
Abstract
Formal debating is a process for argumentation with a long history of use in classroom settings to promote students' development of skills associated with influencing others. In an online, 14-week, MN nursing course, modified formal debate procedures and rules were used to address contemporary issues in nursing. A qualitative descriptive study of student's reflections about engaging in the debate process was conducted involving 24 of 48 students representing three sections of this course taught by three professors during the 2009-2010 academic year. On analysis, the data revealed five categories of outcomes: 1) Risk Taking; 2) Defence of a Position; 3) Coverage of all Aspects; 4) Skill and Knowledge Transfer; and 5) Critical Thinking. Additionally, factors that influenced each of these outcomes are described. Study findings support the compelling benefits of debating in online learning environments using a format modified for use online.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".