Self-Regulated Learning Through Online Formative Assessments: The Effects of Assessment Frequency and Participation on Student Performance
Why this work is in the frame
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Bibliographic record
Abstract
Using online formative assessments, students can monitor their learning and find strategies to attain their self-regulated learning (SRL) goals.However, as formative assessments are often optional and ungraded, some students may not be motivated enough to participate in such assessments.In this study, we argue that the frequency and stakes (i.e., optional vs. required) of formative assessment can influence the interplay between SRL and student performance.Using data from multiple offerings of an undergraduate course, we investigate the role of formative assessment frequency and participation rate in predicting students' course performance.Our findings showed that student performance and participation in the required formative assessments were more predictive of their course outcomes.Furthermore, increasing the frequency of formative assessments did not improve student performance.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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