MétaCan
Menu
Back to cohort
Record W1592735451 · doi:10.19173/irrodl.v10i2.575

Quality of Distance Education in Turkey: Preschool Teacher Training Case

2009· article· en· W1592735451 on OpenAlexvenueno aff
Mehmet Gültekin

Bibliographic record

VenueThe International Review of Research in Open and Distributed Learning · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicEducation Practices and Challenges
Canadian institutionsnot available
FundersAnadolu Üniversitesi
KeywordsDistance educationTraining (meteorology)Medical educationAcademic yearTeacher educationPsychologyMathematics educationQuality (philosophy)PedagogyMedicineGeography

Abstract

fetched live from OpenAlex

Distance education is used for teacher training at different levels and fields in Turkey. Launched in the 2000-2001 academic year and still applied by Anadolu University, the Pre-School Teacher Training Program is one of those programs offered by distance education. This study aims to evaluate Anadolu University’s Preschool Teacher Training Program in Turkey by obtaining student opinions. A total of 1,026 senior students enrolled in the Preschool Education major at the Open Education Faculty of Anadolu University participated in the survey. A questionnaire to determine the opinions of students on the program was used as a means of data collection. Means (X) and standard deviations (SD) were employed to analyze the survey data. The results showed that although the teacher candidates study at a good level, they do not have a good record of watching the television programs. The results also revealed that the opinions of teacher candidates about the textbooks, television programs, teaching practices, and academic assistance services are positive.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.272
GPT teacher head0.517
Teacher spread0.245 · 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 source (direct Gemma or distilled Codex), 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

Citations10
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueThe International Review of Research in Open and Distributed LearningSame topicEducation Practices and ChallengesFrench-language works237,207