A Teacher Based Checklist for the Assessment of Student Learning and Development
Bibliographic record
Abstract
This paper reports on two studies that evaluated the statistical validity of the Classroom Learning and Development Questionnaire as a universal screening and early identification observation instrument within the North American context. The Classroom Learning and Development Questionnaire was first proposed and tested in Hong Kong in the mid-1990s. It has been used as an integral part of the school procedures in the Hong Kong school system since it was first launched and has spawned a number of intervention programs for students within the Hong Kong Educational Authority. The Classroom Learning and Development Questionnaire (CLDQ) has been adapted from the Hong Kong study as a Tier I observation instrument to be used in the North American context. Results of the principal component analysis (PCA) in Study 1 (N = 820) extracted six components, which exhibited adequate to high levels of internal consistency. Results of Study 2 (N = 117) indicated statistically significant and negative relationships between the CLDQ subscales and Teacher Rating Form (TRF) (Achenbach, 1991) variables, demonstrating evidence of convergent validity. Based on the findings of these studies, the authors conclude that the screening protocol does present as a robust instrument capable of supporting screening at a primary prevention level. Based on this study, it is argued that classroom teachers hold a wealth of information concerning each student and that this, when presented in a systematic fashion, leads to greater understanding of individual and group learning needs and may lead to pre-emptive actions which would benefit students’ learning trajectories.
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.
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 | 0.001 | 0.001 |
| 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 | 0.000 |
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".