Resistance to technology integration in elementary teaching by the technologically proficient classroom teacher
Bibliographic record
Abstract
The Quebec Ministry of Education has implemented curriculum reforms that emphasize the integration of information technology into classroom teaching practices. Despite these efforts, however, many teachers appear to resist using computers in their classrooms. Some of these resistors are technologically literate! The purpose of this qualitative study is to better understand the reluctance of the technologically-literate teachers (with two to three years of experience) to integrate technology into their teaching practices. The six teachers participating in this study completed questionnaires and were individually interviewed using an open-ended approach. The data were then analyzed using the Constant Comparative Method. The results showed that although the participants were using computers in their classrooms, they were not actually integrating technology as stipulated by the curriculum reforms. This was attributed to a number of factors, including personal limitations, job stability, lack of resources and funds, time, training, and curriculum issues.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".