Using Textbook Readings, YouTube Videos, and Case Studies for Flipped Classroom Instruction of Engineering Design
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
Flipped classroom instruction places the transfer of information outside of the class and focuses on the application of the information in the class. Applying flipped classroom instruction to engineering design courses is challenging because design is open-ended.Three approaches were tested for second year and fourth year students taught by the same instructor in six course offerings. All course offerings used case studies. Three offerings were taught using traditional methods such as blackboard notes or PowerPoint presentations. The other course offerings used flipped classroom instruction that applied assigned textbook readings or assigned, instructor-created YouTube videos. A statistical assessment of the final exam scores show that flipped classroom instruction using assigned textbook readings result has a negative impact on final exam performance. YouTube videos and case studies have positive impacts on final exam performance.
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 | 0.003 | 0.013 |
| 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 | 0.000 |
| 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 it