Constructivist learning theory and human capital theory: shifting political and educational frameworks for teachers’ ICT professional development
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
Abstract This case study discusses the influence of politics on educational technology policies and practices by tracing the effects of a change of governing political parties with differing ideologies and advisory constituencies. It begins by describing a democratic socialist government initiative based on social capital theory and emphasising connections among individuals. The information and communications technology (ICT) initiative is a peer mentorship model of teacher professional development using constructivist learning theory that emphasises activity‐based situated learning processes. The article then describes a shift in the political context with the election of a political party with a market orientation guided by principles of fiscal responsibility and free enterprise. The subsequent reformulation of educational policy draws from human capital theory and emphasises accountability and the measurement of students’ achievement of technological skills against standard learning outcomes. The significance of the political dimension on the development of educational policies for ICT is discussed, with the conclusion that the exclusion of particular constituent groups can result in narrowly defined educational needs.
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 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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