Mindful curriculum and pedagogy in the practice of a home economics educator
Bibliographic record
Abstract
A common conception is that the singular focus of home economics educators and home economics education is the development of a technical perspective (technê) in students with the goal of producing a product through reasoned, instrumental action (poïesis). However, taking such a curricular and pedagogical focus reduces the opportunity for interaction with praxis and phronesis. By excluding thoughtful engagement with the topics in this subject area, teachers may unknowingly facilitate mindlessness in themselves and their students regarding everyday life actions, which has the potential to unintentionally propagate harmful ideas and actions. This research is positioned on the idea that attaining a mindful disposition can help educators develop curriculum and pedagogy that challenges students to think critically and, as a result, make thoughtful decisions about their actions in their everyday lives. The home economics curriculum engages with everyday life actions. While they are ‘small’, everyday life actions have the potential to be emancipatory. The purpose of this study is to investigate what non-meditative mindfulness looks like in the practice of a mindful home economics educator and to uncover connections between education, home economics, and mindfulness. Through the use of case study and action research methodology, the research investigates how a home economics teacher engages with and employs mindfulness in her curriculum and pedagogy. Data collected throughout the semester delivery of secondary school courses include a reflective personal journal on classroom activity; lessons and classroom documents; and feedback from students within the course. Four themes identified from the data that appeared to reduce mindless tendencies in my teaching practice were: i) having an intentionally evolving curriculum and pedagogy, ii) the inclusion of place-based learning opportunities, (iii) the inclusion of inquiry based learning opportunities, and iv) the importance of external validation. This research indicates that engaging with non-meditative mindfulness has an impact on both an educator’s thinking about his or her pedagogy and also on his or her practice. Employing non-meditative mindfulness may appeal to educators because it offers the opportunity for individuals to experience empowering, transformative ways of thinking without demanding that individuals commit significant amounts of time to modifying their practice.
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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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".