Creating Interactive Audiences for Student Writers in Large Classes: Blogging on the NewsActivist Learning Network
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 article considers how instructors with larger classes can utilize Web 2.0 tools to help students develop as writers. Meeting the needs of readers defines strong writing, yet students need to interact with authentic audiences to learn to do this well. A growing body of educators is exploring how blogging can be used to enhance student learning. In this article, we describe how a blogging platform, NewsActivist, was used to create an interactive audience for student writers in a large sociology course. The article provides details on course and assignment design to meet major learning outcomes and support student growth as writers. Data from reflective essays and a user survey are presented that demonstrate the value of NewsActivist and its interactive audiences for student writers. The platform was found particularly useful to motivate students to care about their writing and to provide feedback to help students learn.
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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 | 0.016 | 0.024 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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