Critical Thinking, Active Learning, and the Flipped Classroom: Strategies in Promoting Equity, Inclusion and Social Justice in the B.Ed. Classroom
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
In Canada, the national rhetoric of tolerance for diversity oftentimes does not match up to student experiences in the classroom (Dei, Mazzuca, McIsaac, & Zine, 1997). Many students face discrimination because of ethnicity, religious, gender, sexuality, disability, and socioeconomic status. Such discrimination negatively impacts not only studentsâ ability to perform at high standards, but future economic capital (Harvey & Houle, 2006; Ryan, Pollock, & Antonelli, 2009). The implication for educators in creating more inclusive, socially-just classrooms becomes significant when one looks at Canadaâs changing demographic trends (see Eggertson, 2007). It is incumbent that policymakers, researchers, and educators move beyond rhetoric and prepare future teachers with the skills for teaching in Canadaâs growing, diverse, and young classrooms.\nThis workshop is designed for instructors who teach in Bachelor of Education programs at any Canadian university. At the same time, it is adaptable to non-Canadian, and/or non-B.Ed. classrooms. The aim is dual and intertwined: to model pedagogy and instruction that instructors can adopt or adapt in teaching for equity and social justice in their own classrooms, and to guide instructors, using stimuli from written and visual text, to interrogate and evaluate their own teaching practices, and re-align them to foster aims of inclusion and social justice. Towards these ends, the workshop employs a triad of strategies, namely critical thinking, active learning, and the flipped classroom.
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 | 0.011 | 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 | 0.009 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.002 |
| 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 it