The Utilization Interactive Digital Media Comic In Indonesian Historical Learning to Support Independet Learning at SMA Al-Izzah
Bibliographic record
Abstract
<p><em>The development of technology in the era of industrial revolution 4.0 has a comprehensive impact into aspects of life, one of which is in the learning of history. The use of electronic media for historical learning needs has begun to be encouraged in various schools. Conventional historical learning is usually still one-way, or in other words still teaching oriented. Thus with the development of technology and to meet the needs of the times, learning media needs to be used in order to improve the quality of learning. In addition, with the use of learning media, it is expected that students have an interest in participating more in historical learning. This research tries to review the use of digital comic learning media in the subjects of Indonesian History in class X- MIA 3 senior high school Al-Izzah Kota Batu. The research method used a descriptive qualitative method.</em></p>
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".