Validating a Modified Version of the Self-Directed Learning Readiness Scale (MSDLR) for use Among Undergraduate Students
Bibliographic record
Abstract
Self-directed learning readiness (SDLR) refers to the degree to which learners are ready to be accountable for their own learning and learning needs and is a skill that students can develop. Understanding student levels of SDLR can help optimize the learning environment for more effective teaching and learning strategies. The purpose of this study was to provide additional validity evidence for a modified version of the SDLR scale. Evidence of internal structure and relations with other variables was examined in a sample of 203 undergraduate students. A confirmatory factor analysis did not support the three-factor structure of the modified SLDR scale; however, a follow-up exploratory factor analysis suggested that there were three factors, with some items not loading onto their intended factors. Evidence was provided for convergent validity, and mixed evidence was found for discriminant validity. Overall, these results suggest that some modifications may be needed for this scale, but there is potential for this measure to be suitable for assessing readiness for self-directed learning.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".