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The Development Process of the Ecological Education in Independent Kazakhstan

2020· article· en· W3092300673 on OpenAlexvenueno aff
Primbetova Aigul, Baltabayeva Gaukhar

Bibliographic record

VenueJournal of Intellectual Disability - Diagnosis and Treatment · 2020
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy Security and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsProcess (computing)EcologyEnvironmental resource managementGeographyEnvironmental planningEnvironmental scienceBiologyComputer science

Abstract

fetched live from OpenAlex

Today, the world community understands that one of the main reasons for the emergence of the global ecological crisis is the low education level, including the ecological one. On the 21st century threshold, the individual's ecological development is becoming a priority and a meaning-forming factor in state education policy. In many ways, it acts not only as a means of preserving nature but also of human civilization as a whole. This study recommends theorizing and establishing ecological education among learners. The future teacher needs to connect diverse thoughts about ecology and attempt to understand effective practices to cultivate a space of reflection for students and devise effective ways and methodologies to foster ecological education skills thought among student learners. The purpose of the present study was to collect and analyze environmental education undertaken with various subjects. For systematic analysis, selected databases and journals were analyzed across pre-determined criteria. The close examination resulted in 11 studies reporting the effects of the interventions (e.g., hands-on practices, field trip activities) and 4 studies reporting participants' views on the effects of the interventions in general. Later, these studies were subjected to content analysis to present the trends and to synthesize the common findings of the selected studies. The techniques and instructions used as the intervention in these selected studies were observed to contribute to the development of participants' gains associated with knowledge of the environment and nature, perception of nature, environmental effect, responsible environment behaviors, and conception and understanding of science.

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)0.001
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 score0.444
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.296
Teacher spread0.266 · 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

Citations8
Published2020
Admission routes1
Has abstractyes

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