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Record W2660373079 · doi:10.1080/17425964.2017.1342352

Straddling Teacher Candidates’ Two Worlds to Link Practice and Theory: A Self-Study of Successful and Unsuccessful Efforts

2017· article· en· W2660373079 on OpenAlexafffund
David Dillon

Bibliographic record

VenueStudying Teacher Education · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPracticumCognitive reframingPedagogyCurriculumTeacher educationMathematics educationPsychologyReading (process)Constructivist teaching methodsProfessional developmentTeaching method

Abstract

fetched live from OpenAlex

This self-study examines a teacher educator’s quest to provide an integrated practice-and-theory approach to learning to teach that places the experiences of the teacher candidates at the centre of the curriculum by focussing on their developing questions, challenges and issues through socio-constructivist discussions of their emerging practices. Constraints of university structures with regards to offering such an approach are discussed, including the impact that offering seminars on the university campus rather than in schools has on teacher candidates’ ability to integrate theories and practices of learning to teach. The research questions guiding this study include: How can I understand what process candidates actually undergo during practicum in the development of their ability as teachers vis-à-vis my course?, and How can I re-structure and re-organize my course to enhance the development of candidates’ practice as teachers? Data include interviews with volunteer student participants before and after observations made during classroom visits as well as discussions with groups of students. Analysis is based on reading and rereading the data as well as discussing it with the larger research team. The findings include the realization of how little of my course is integrated into my teacher candidates’ teaching, how much greater the influence of their mentor teacher is, and the extent to which teacher candidates need explicit help and guidance to transform or reframe their teaching. The article concludes with specific suggestions for adjusting a seminar associated with the practicum to enhance the development of a practice-and-theory approach to teaching.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.061
GPT teacher head0.416
Teacher spread0.355 · 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
GenreEmpirical

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

Citations19
Published2017
Admission routes2
Has abstractyes

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