Effects of teacher clarity and student anxiety on student outcomes
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
A laboratory experiment was carried out with 120 undergraduate students to examine a possible aptitude–treatment interaction between teacher clarity and student test anxiety in relation to two outcome measures, namely student achievement and student motivation, with student intelligence statistically controlled. Students completed measures of intelligence and test anxiety and were randomly assigned to high teacher clarity or low teacher clarity conditions, defined by the presence or absence of specific teaching behaviours in a videotaped lecture with content held constant across conditions. Measures of motivation and self-efficacy for learning the material were completed immediately post-treatment, then one week later participants completed an achievement test based on the material contained in the lecture and assigned homework. Results revealed significant beneficial main effects for high vs. low teacher clarity for both achievement and motivation measures, but no aptitude–treatment interaction between teacher clarity and student test anxiety.
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 | 0.000 |
| 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 | 0.001 |
| 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