MétaCan
Menu
Back to cohort
Record W3114853063 · doi:10.5539/ies.v14n1p76

Educational Research Training in Teacher Training Programs: The Views of Future Teachers

2020· article· en· W3114853063 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Education Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Teacher Training
Canadian institutionsnot available
FundersAgencia Nacional de Investigación y Desarrollo
KeywordsTraining (meteorology)Focus groupQualitative researchPsychologyMedical educationTeacher educationPedagogyEducational researchMultimethodologyVisibilityFaculty developmentMathematics educationProfessional developmentSociologyMedicine

Abstract

fetched live from OpenAlex

The objectives of this study were to explore teacher student’s views on the research training they receive and know their suggestions for improving it. This was a qualitative study conducted on students in the teacher training programs of a Chilean public university who were distributed into nine focus groups. The findings showed that the students have a rather critical view about the training they receive, particularly due to the lack of continuity of research-related courses and their limited participation in research activities. Regarding how to improve their training, the students suggest providing one research-related course each year, having researchers as teachers, and giving greater visibility to the educational research produced within their university. The study concludes that it is important to promote participation in educational research and that university teacher educators and the entire university community must adopt a broad-ranging view on this subject.

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.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.501
Threshold uncertainty score0.562

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.624
GPT teacher head0.566
Teacher spread0.058 · 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