Assessing the Professional Growth of Post Secondary Students Studying the Education Applications of Emergent Technologies
Bibliographic record
Abstract
The "Level of Use of an Innovation" (LoU) and "Stages of Concern" (SoC) assessments are key components of the Concerns-Based Adoption Model (CBAM). These tools can provide a clear articulation and characterization of the level of adoption of an organizational innovation in educational technology. An adaptation of the LoU was used to assess changes in understanding of and competence with educational technologies by participants in a graduate level course focused on the use of emergent technologies in professional development. The instrument reflected the criteria framework of the original LoU assessment tool, but was adapted to utilize a specifically structured self report scale of the "level of use" index to promote collaborative self-reflection. Growth in knowledge of, and confidence with, specific emergent technologies is clearly indicated by the results, thus supporting the use of collaborative reflection and assessment of the professional development process to foster professional growth.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".