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Record W2586676065 · doi:10.20306/kces.2018.28.5.21

Characteristics and Implications of Teacher Education System in Canada

2018· article· en· W2586676065 on OpenAlexaboutno aff
Rana R. Kim, Tai-Jin Shin

Bibliographic record

VenueKorean Comparative Education Society · 2018
Typearticle
Languageen
FieldComputer Science
TopicEducational Systems and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsSalaryPracticumTeacher educationCurriculumSupervisorPedagogyProfessional developmentMathematics educationPsychologyMedical educationPolitical scienceMedicine

Abstract

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본 연구는 캐나다 교원양성체제와 전문성 자격기준을 살펴보기 위해 현재 캐나다 교원양성 교육과정과 보수체제를 분석하였다. 이를 통해 우리의 교원양성체제에 주는 시사점을 제안하고자 한다. 캐나다 교원양성체제의 특징은 크게 두 가지로 요약된다. 첫째, 교원양성과정에서 습득하는 내용과 이론들이 예비교사들이 실제 실습현장에 바로 적용할 수 있으며 이는 현장적합성을 높이는데 기여하고 있다. 둘째, 교원전문성 자격기준은 세부적이고, 체계적이기 보다는 총체적으로 구성되어있다. 이러한 캐나다 교원양성체제의 특징은 현재 한국 교원양성체제에 다음과 같은 시사점을 제시할 수 있다. 첫째, 예비교사들의 현장적합성을 높이고, 변화하는 사회가 요구하는 역량을 지닌 교사들을 양성하기 위해서는 교원양성 대학 내 담당 교수진들, 지역사회 담당자들, 그리고 실습학교의 지도교사와 담당자들 간에 지속적인 긴밀한 관계구축이 필요하다. 서로 간 피드백을 통하여 교원 수급 조절, 변화하는 사회가 요구하는 역량을 궁극적으로 교원양성 대학 내 교육과정에 반영하여 실제와 이론 간의 거리를 좁힐 수 있다. 둘째, 교원전문성이 호봉제에 직접 반영될 수 있는 보수체계의 구축이 필요하다. 근무 연수에 기초한 단일 호봉제가 아니라 교사 개개인들이 자기계발 및 전문성 신장을 위해 학위 또는 다양한 과목 이수들이 보수체계에 직접 반영되어야 한다. 이는 교사들의 다양성을 존중함과 동시에 사기진작 시키는 요인이 될 뿐만 아니라 결국, 학습자인 학생들에게 긍정적인 영향을 미칠 수 있다.This study examines the characteristics of teacher education system and professional standards of teachers in Canada through analysis of the current teacher education curriculum and salary grids of teachers in Canada. As a result, the following characteristics were found. First, contents and theories acquired during the course of teacher education are connected to the actual practice to increase the site-compatibility. Second, professional standards of teachers is rather holistic, than detailed and systematic. Based on the findings, the following implication can be drawn. To enhance the site compatibility of teachers in the Republic of Korea, it is requisite to build a persistent, and cooperative relationship among the faculty members of teacher education program, the members of the community, and supervisor teachers of practicum schools. Also, it is necessary to come up with a system that directly connects the professionalism of the teachers and the salary grids, as the salary of teachers are adjusted according to the completion of degree or courses, reflecting the professionalism.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.600
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.030
GPT teacher head0.312
Teacher spread0.281 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2018
Admission routes1
Has abstractyes

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