Flipped classrooms and student learning: not just surface gains
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 relatively new approach to undergraduate teaching in science. This approach repurposes class time to focus on application and discussion; the acquisition of basic concepts and principles is done on the students' own time before class. While current flipped classroom research has focused on student preferences and comparative learning outcomes, there remains a lack of understanding regarding its impact on students' approaches to learning. Focusing on a new flipped classroom-based course for basic medical sciences students, the purpose of the present study was to evaluate students' adjustments to the flipped classroom, their time on task compared with traditional lectures, and their deep and active learning strategies. Students in this course worked through interactive online learning modules before in-class sessions. Class time focused on knowledge application of online learning module content through active learning methods. Students completed surveys and optional prequiz questions throughout the term to provide data regarding their learning approaches. Our results showed that the majority of students completed their prework in one sitting just before class. Students reported performing less multitasking behavior in the flipped classroom compared with lecture-based courses. Students valued opportunities for peer-peer and peer-instructor interactions and also valued having multiple modes of assessment. Overall, this work suggests that there is the potential for greater educational gains from the flipped classroom than the modest improvements in grades previously demonstrated in the literature; in this implementation of the flipped classroom, students reported that they developed independent learning strategies, spent more time on task, and engaged in deep and active learning.
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 | 0.001 | 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 | 0.000 | 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