Impact of Changes in Teaching Methods During the COVID-19 Pandemic: The Effect of Integrative E-Learning on Readiness for Change and Interest in Learning Among Indonesian University Students
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
The COVID-19 pandemic has forced universities to conduct online learning, requiring lecturers to create innovative e-learning methods and students to be ready to adapt and show high interest in learning. This study aimed to examine the effect of an integrative e-learning method on students’ readiness and interest in learning at Universitas Diponegoro, Indonesia. This research was experimental, designed with one group pretest and posttest, and no control group. As many as 190 students participated, selected using clustered random sampling. Two measurement scales were used: the readiness for change scale and the interest in learning scale. The statistical analysis technique used was a paired sample t-test. The results of paired sample t-test analysis on readiness for change (p = 0.000; p < 0.05) and interest in learning (p = 0.000; p < 0.05) showed significant differences between the pretest and posttest data. The findings indicated that students who participate in integrative e-learning show significant change in the level of readiness and interest in learning.
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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 | 0.017 | 0.026 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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