Computer Competency: A 7-Year Study to Identify Gaps in Student Computer Skills
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
Computer competency is crucial to student success in higher education. Assessment of student knowledge related to specific computer competencies can provide faculty with important information about the strengths and weaknesses of their students’ computer competency skills. The purpose of this study was to identify the competency level of two groups of nursing students (registered nurses [RNs; n = 236] and traditional nursing students [n = 407]) over a 7-year period to assess which computer competencies need the most support and to determine how computer competencies varied with successive groups of students. Results indicated that the competency of students increased with each successive group of students. Results also showed that there were significant differences in computer competency levels between the RN and traditional student groups. Competency varied across technological functions, with students having the lowest competency levels in the Data Inquiry competency dimension.
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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 | 0.000 | 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 | 0.001 |
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 it