The Flipped Classroom Volume 1: Background and Challenges
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 flipped classroom is a hot topic not only among educators but also in the general public, with articles in the USA Today, Washington Post, and New York Times. Bergman and Sams’ Flip Your Classroom brought this pedagogical approach to the attention of chemistry educators. At the 2012 Biennial Conference on Chemical Education (BCCE) there were two presentations on the flipped classroom. In 2014 there were three symposia focused on the flipped classroom – the national ACS meeting in Dallas, the spring ConfChem, and the BCCE, which had four completely full sessions. We are happy to share this group of papers from the BCCE symposium where half of flipped courses described are general chemistry courses, one quarter of the courses are organic, and the last quarter include analytical, biochemistry, physical chemistry, and general/organic/biochemistry (GOB).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 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 | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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