Teachers who Initiate Changes with an Ebook-Integrated Curriculum: Revisiting the Developmental Assumptions of Stages of Concerns in the Concerns-Based Adoption Model
Bibliographic record
Abstract
Understanding teachers’ concerns about integrating new technology to their curricular practices is essential for the improvement of pedagogical practices. Using in-depth interviews, this study aims 1) to explore and describe concerns of teachers who attempted to initiate ebook-integrated curriculum independently in a higher education setting, and 2) to examine how well the Stages of Concerns (SoC) in Concerns-Based Adoption Model (CBAM) explains the change processes of the teachers. This study challenges the developmental assumptions underlying the SoC in CBAM and suggests that the theoretical framework must address individuals’ idiosyncratic traits as a contextual factor to better explain the change processes of teachers who initiate change in higher education. Additionally, future research directions pertaining to the adoption of innovations by teachers are suggested.
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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 | 0.004 | 0.004 |
| 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 | 0.001 | 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 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".