Teachers’ Perception towards Formative Assessment in Saudi Universities’ Context: A Review of Literature
Bibliographic record
Abstract
Formative assessment has received considerable attention among scholars around the world. In Saudi Arabia, formative assessment is perceived as a promising opportunity for improving learning outcomes. The review of literature presents formative assessment as a serious issue that can affect students’ outcomes. In particular, teachers’ perception is an important factor that determines their willingness to apply specific assessment strategies in class. According to the findings, formative assessment leads to positive student outcomes. Importantly, the overall perception towards formative is multi-factored. As such, a single factor cannot be blamed for teachers’ perception and attitude outcomes. Notably, teacher’ experience, education level, and other factors define their perception towards formative assessment. As such, any efforts to influence their perspective will have a significant positive outcome on their willingness to apply formative assessment. However, a further study is needed to quantify the significance of teachers’ perception in influencing their decision to apply formative or summative assessment. 
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".