Impact of Electronic Reminders on Student Grades and Attitudes in Online Courses
Bibliographic record
Abstract
BACKGROUND: Reminders guide students in meeting course expectations for submitting assignments. PROBLEM: Variables linked to the effective use of reminders are unclear. The purpose of this study was to evaluate the impact on student grades and attitudes of using routine reminders for assignments in an online course. APPROACH: Students enrolled in online graduate and undergraduate nursing courses were emailed weekly reminders for discussion board assignments. Students received reminders for half of the semester and served as their own control to evaluate the impact of reminders on grades. OUTCOMES: There was no significant impact of reminders on grades or overall attitude. However, when undergraduate and graduate students were compared on individual questions on an attitude toward reminders' scale, undergraduate students reported that reminders were necessary, had a positive impact on their grades, and should be included in all courses. CONCLUSIONS: Reminders should be routinely used in undergraduate online courses.
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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 | 0.000 | 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 | 0.000 |
| 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".