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Record W3097174696 · doi:10.5539/elt.v13n11p1

Investigating Mentor Teachers’ Roles in Mentoring Pre-Service Teachers’ Teaching Practicum: A Malaysian Study

2020· article· en· W3097174696 on OpenAlexvenueno aff
Biao Li Phang, Badariah Binti Sani, Nur Aizuri Binti Md Azmin

Bibliographic record

VenueEnglish Language Teaching · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPracticumPsychologyContext (archaeology)Teacher educationChristian ministryMedical educationPedagogyTeaching methodService (business)Mathematics educationMedicinePolitical science

Abstract

fetched live from OpenAlex

A teaching practicum is a course of study in which pre-service teachers get to experience actual teaching in real classrooms. Mentor teachers who are assigned to mentor and supervise pre-service teachers have many important roles to play in the practicum experience, yet no extensive research has been conducted on these roles. This study sought to determine the roles played by mentor teachers in pre-service teachers’ teaching practicum. Using an explanatory, sequential, mixed-methods research design pertaining to the Malaysian context, we recruited 385 pre-service teachers who had attended teaching practicum and 6 mentor teachers who had previously mentored pre-service teachers. Online questionnaires and telephone interviews were used sequentially. Findings showed that mentor teachers played moderate roles in mentoring pre-service teachers; mentor teachers perceived themselves to play many roles yet regarded certain roles as unnecessary and unimportant. Universities, secondary schools, and the Malaysian Ministry of Education must address the importance of producing quality teachers by intervening as early as pre-service teachers’ teaching practicum.

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)0.006
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.207
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.003
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 head0.072
GPT teacher head0.380
Teacher spread0.308 · 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

Citations13
Published2020
Admission routes1
Has abstractyes

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