Leadership Factors Influencing Transition and Implementation of a Learning Management System in a Rural Community College Context
Bibliographic record
Abstract
The purpose of this study was to examine the leadership practices involved in the transition to a new Learning Management System (LMS) at a rural community college in western Canada. This study was important to inform future studies on technology transition, particularly in the rural community college context. The main research question explored in the study was how do leaders in a rural community college in western Canada understand practices of leadership when implementing LMSs? A qualitative case study was used that included data from questionnaires and a review of institutional documents. Thematic analysis was used to analyze the data. The data supported the concept that the leaders involved in a technology implementation decision making committee need to have understanding of leadership and technology adoption practices. The results highlighted the importance of professional learning for leaders who are involved in making decisions regarding educational technology. The data helped to inform a conceptual framework that supports leaders’ understanding of the practices of leadership when implementing a LMS in a rural community college in western Canada.
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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 | 0.002 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".