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Record W4315498569 · doi:10.3389/feduc.2022.1065228

An international study of high school teachers’ experience of incorporating water resources in their teaching

2023· article· en· W4315498569 on OpenAlexaboutno aff
Ching Ting Tany Kwee, Luis Miguel Dos Santos

Bibliographic record

VenueFrontiers in Education · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsnot available
FundersWoosong University
KeywordsRealmResource (disambiguation)PsychologyFocus groupDisciplineQualitative researchPedagogyMathematics educationSociologyComputer scienceSocial scienceGeography

Abstract

fetched live from OpenAlex

This qualitative study aims at investigating the significant personal and contextual factors influencing teachers’ motivations for incorporating water resources in their teaching. By exploring teachers’ experiences teaching water resources in their Education for Sustainable Development (ESD) classroom, this study attempts to close the research gap on the paucity of research on teachers’ motivation in teaching water resources within the realm of ESD. Based on the purpose of the study and the social cognitive career theory, this study is guided by two research questions: (1) How do teachers describe their experience of incorporating water resources in their classrooms? (2) Why are teachers motivated to incorporate water resources in their teaching? Ten high school teachers from five countries and regions, Canada, Australia, New Zealand, Taiwan and Hong Kong, who had incorporated water resources into their teaching, were recruited. The researchers adopted Interpretative Phenomenological Analysis with semi-structured interviews and focus group discussions to collect in-depth data to explore their teaching experiences. The results indicated that personal beliefs and characteristics of the community played significant roles in their experiences and motivations. This study’s findings can provide insights into how and why teachers’ personal beliefs and contextual variables like geographic and cultural influences can encourage teachers to implement water resource elements in their teaching, thereby illuminating the possible responsive pedagogies for successful cross-disciplinary ESD in future.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.151
Threshold uncertainty score0.671

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.008
GPT teacher head0.273
Teacher spread0.265 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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