Flipping it online: re-imagining teaching searching for knowledge syntheses
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
Introduction: This program description outlines our approach to re-developing our three-part series for graduate students on comprehensive searching for knowledge syntheses from in-person to online delivery using a flipped classroom model. The re-development coincided with our library's response to COVID-19. Description: This series followed a flipped classroom model where participants completed asynchronous modules built on Articulate Rise 360 before attending a synchronous session. Each week of content covered unique learning objectives. Pre- and post-class self-assessments were used to examine students' understanding of the materials. Outcomes: 152 unique participants registered for the series across two offerings in summer 2020. We observed high engagement with pre-work modules and active participation during synchronous sessions. Discussion: We found the flipped classroom approach to work well for our users in an online environment. Moving forward, we intend to continue with our re-developed online workshop series with minor modifications, in addition to in-person instruction.
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 | 0.041 | 0.134 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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