Fixing higher education through technology: Canadian media coverage of massive open online courses
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
The popularization of massive open online courses (MOOCs) has been shrouded in promises of disruption and radical change in education. In Canada, official partnerships struck by higher education institutions with platform providers such as Coursera, Udacity and edX were publicized by dailies and professional magazines. This print coverage of MOOCs captures the contemporary ideological struggle over the meaning of both technology and higher education. By means of a thematic analysis of the English Canadian print coverage of MOOCs (2012–2014), this paper shows that both online educational technologies and higher education are constructed through an economic frame. However, this frame does not go unchallenged. Where newspapers construct MOOCs as an easy fix for an allegedly inefficient and outdated higher education system, professional magazines question the relationship between technology, higher education and money. These different representations point to the efforts of academic communities to develop alternative social imaginaries of education as public good within a dominant neoliberal framing of MOOCs and of the higher education system. In conclusion, the paper reflects on how the academic community can create alternative discursive spaces by shifting the discussion of MOOCs from economic concerns to civic goals.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| 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