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Record W2914851449 · doi:10.5430/wje.v9n1p152

Environmental Awareness of Teacher Candidates

2019· article· en· W2914851449 on OpenAlexvenueno aff
Demirali Yaşar Ergin

Bibliographic record

VenueWorld Journal of Education · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsCronbach's alphaPsychologyScale (ratio)Test (biology)Rating scaleItem analysisStatisticsMathematics educationData collectionQuartileStatistical analysisApplied psychologyMathematicsPsychometricsClinical psychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

The aim of this research was to determine the environmental awareness of teacher candidates. According to this aimthe research was carried out with a total of 532 students randomly selected from all departments of Trakya UniversityFaculty of Education and Pedagogical Formation program students during the fall semester of 2016-2017.“Environmental Awareness Scale" prepared by the researcher was used as data collection tool. The scale consists of71 items with a rating of 4. For each sub-scale, the internal consistency was determined by calculating the item-totalcorrelation coefficient and item-remainder correlation coefficient. In the same way, t-test between the upper quartileand the lower quartile was applied to detect the discrimination power of the items. For the scale and sub-scales, thereliability was determined by calculating the Cronbach and Rulon coefficients. It was determined that the scaleconsisting of 3 factors was valid, reliable and usable after statistical procedures. High scores in all items and factorsindicate positive environmental awareness.A questionnaire consisting of 19 questions prepared by the researcher was used to collect data about the independentvariables of the research. The questionnaire contains questions about nature love as well as demographiccharacteristics such as gender and age. The statistical analysis of data featured t test, variance analysis and LSDmethods for Post hoc analysis to determine the source of variation. In this research, generally it was found that theenvironmental awareness of the candidate teachers was very high.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.983

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)0.0180.000

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 head0.005
GPT teacher head0.253
Teacher spread0.248 · 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 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

Citations13
Published2019
Admission routes1
Has abstractyes

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