Automating the analysis of collaborative discourse: identifying idea clusters
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 design-based research study investigated instructional scaffolding for knowledge building discourse among participants (n=17, n=20) in two online graduate courses. In particular, designs of software-based scaffolding as found in web-based Knowledge Forum's scaffold support feature were refined. Analyses of the student discourse data suggests that Knowledge Forum's scaffold supports offer a promising avenue for future design innovations to encourage knowledge building discourse. Results show that students increasingly used the scaffolds to focus their reading and writing of notes over iterations of the study. The proportion of scaffolds for knowledge building discourse increased during each iteration with a corresponding decrease in the proportion of scaffolds for expressing an opinion in the second iteration. Finally, notes with scaffolds contained significantly more words than notes without scaffolds, suggesting that scaffolds promoted more student reflectivity. Implications for formative assessment of student learning and knowledge building are discussed.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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