Basics and Beyond: Faculty Development as a Professional Learning Journey
Bibliographic record
Abstract
This paper describes the implementation of the Basics and Beyond certificate program for faculty that models a learning-centered, task-based approach to active learning. Unique aspects of the program include: flexible entry; a student focused/conceptual change model; a task-based, learning-centered approach (tasks and feedback drive the learning process); and authentic assessment. Throughout this program, tasks and feedback drive the learning process so as to engage faculty in active rather than passive learning. Faculty have immediate opportunities to apply new strategies to their own teaching context and receive feedback. In this way, the journey itself is as important as the destination. A two-year research project assessed the uptake and impact of the program. Quantitative and qualitative analysis of data shows changes in participants’ attitudes and approaches to their teaching. The data suggests that our model promotes deep learning that resulted in attitudinal and behavioral changes in the faculty participating in the Basics and Beyond program. In the paper we describe unique features of our program, the design of the research project, and our findings.
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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 | 0.003 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".