Instructors' Professional Learning and Implementation of Problem-Based Learning in Higher Education
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Contemporary educational reform in North America, as well as other parts of the world, has led to a shift toward conceptualizing assessment, teaching, and learning for the purpose of developing students' competencies (e.g., critical thinking, complex problem-solving, creativity and innovation, collaboration). Both in K−12 schools and higher education, instructors need to adopt innovative pedagogies and assessments to support the fostering of these competencies. In this chapter, the authors report on a mixed-method study where the implementation of problem-based learning (PBL) was used in a preservice teachers' assessment course designed in a teacher preparation program at one western Canadian university. The findings acknowledge that facilitating PBL is a pedagogical shift and requires instructors to revisit their pedagogical practices and assumptions in relation to student learning and teaching. The chapter concludes with three directions for future research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.004 | 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 it