Scribe Hero: An Online Teaching and Learning Approach for the Development of Writing Skills in the Undergraduate Classroom
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 examined whether or not writing skills could be taught to post-secondary students via online learning modules and what student perceptions of such a learning process were like. A pilot study of the modules developed—called Scribe Hero—was conducted in the Fall of 2017. Statistical analysis of quantitative data reveals an improvement in student writing skills following their engagement with the online learning modules. Thematic analysis of qualitative data revealed that the students were engaged by the experience, finding it educational and refreshingly different from in-class options. The feedback also suggested that user-friendly technology, tone of the online environment, incentivising meaningful feedback, and maintaining a sense of direct applicability of content are essential to capitalising on this sort of teaching and learning methodology. Overall, the findings of this small-scale research study support further development of this technology while also offering lessons that can be transferred to other contexts for teaching writing.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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