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Record W7133009864

Contemplative Teachers' Practical Knowledge: Towards Holistic Teacher Education

2010· dissertation· en· W7133009864 on OpenAlexaff
Sookhee Im

Bibliographic record

VenueTSpace · 2010
Typedissertation
Languageen
FieldSocial Sciences
TopicValues and Moral Education
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsContemplationConceptualizationContext (archaeology)Holistic educationQualitative researchDynamismDiversity (politics)
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study is to understand the significance of contemplative practice in fostering teachers’ personal practical knowledge. Teachers’ practical knowledge has been valued to make teaching relevant to students’ real life contexts. However, practical knowledge has been considered difficult to teach because of the diversity and dynamism of reality. Based on the conceptualization that teachers’ contemplative practice could support their practical knowledge development, this qualitative study was carried out through a review of the literature and exploration of direct experiences of four teachers who have linked their contemplative practices to their teaching. The literature review informs us that in order to develop teachers’ practical knowledge, attention, a sense of the whole, and a sense of context are critical. In addition, those qualities can be fostered by non-dual knowing or intuitive knowing which can be developed by contemplation, that is, the act of looking at something by paying attention without thinking of anything else and without premises or judgments. The exploration of the participants’ direct experiences shows that their contemplative practices performed a significant role in fostering personal practical knowledge of self, students, environment, subject matter, curriculum, and instruction and in making their teaching relevant to the students’ real lives from a holistic perspective.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.567
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.158
GPT teacher head0.559
Teacher spread0.402 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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