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Record W2092450899 · doi:10.5539/ies.v1n2p92

Inquiry –Oriented Science in Urban Secondary Schools: Voices of New and Experience Science Teachers on Perception of Preparedness

2008· article· en· W2092450899 on OpenAlexvenueno aff
Irene U. Osisioma, Chidiebere R. Onyia

Bibliographic record

VenueInternational Education Studies · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicScience Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsLikert scalePreparednessPerceptionPsychologyMathematics educationScience educationPedagogyMedical educationPolitical scienceMedicine

Abstract

fetched live from OpenAlex

This study explores urban secondary teachers’ perception of how prepared they are to teach science through inquiry-based strategy. It was conducted against the backdrop of recent calls by the National Research Council (NRC) to restructure the way science is taught. Results described in this paper are based on data collected through a Likert scale questionnaire administered to 39 practicing science teachers. The questionnaire provided both quantitative and qualitative data. Analysis of data showed that the majority (78%) of the teachers surveyed believed that they had the knowledge and skill required to teach science through inquiry. Their responses to open ended survey questions indicated something different. Only 13% of the teachers were able to list the elements of inquiry-based science instruction which raised the question about what they actually perceived as knowledge and skills of inquiry-based instruction. These differences are discussed in this paper. Implications for teacher preparation to instruct in an inquiry fashion are also presented.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.005
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.163
GPT teacher head0.501
Teacher spread0.337 · 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 designQualitative
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
Published2008
Admission routes1
Has abstractyes

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