HOW BLENDED LEARNING CAN SUPPORT A FACULTY DEVELOPMENT COMMUNITY OF INQUIRY
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
This study focuses on understanding the social and teaching presence required to create a blended faculty development community of inquiry. Garrison, Anderson and Archer’s community of inquiry framework was used to analyze transcripts from the face-to-face and online sessions of a faculty learning community focused on blended learning course redesign. All three categories of social and teaching presence were detected in both forms of transcripts. The pattern of social comments changed considerably over time within the online discussion forum. The frequency of comments reflecting affective and open communication decreased while those with group cohesion increased dramatically. A similar trend was not observed within the face-to-face transcripts. In terms of teaching presence, the percentage of comments coded for design & organization and facilitating discourse decreased over time in both the face-to-face and online transcripts while comments containing an element of direct instruction increased considerably.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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