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Record W2120438851 · doi:10.5539/ass.v8n6p165

Higher Secondary School Students’ Attitude towards Chemistry

2012· article· en· W2120438851 on OpenAlexvenueno aff
Gul Nazir Khan, Arshad Ali

Bibliographic record

VenueAsian Social Science · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicScience Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsLikert scaleMathematics educationKhyber pakhtunkhwaChemistry educationAgency (philosophy)ChemistryPopulationSecondary educationSubject (documents)PsychologyGovernment (linguistics)Sample (material)Medical educationPedagogySociologySocial scienceMedicineLibrary scienceEnthusiasmSocial psychology

Abstract

fetched live from OpenAlex

The focus of this study was about higher secondary school students’ attitude towards chemistry subject, chemistry teacher and teaching methodologies of chemistry teacher. Like academic achievement, attitude is considered to be an important product of higher secondary education. The population of this study was all the higher secondary schools students of Khyber Pakhtunkhwa (Pakistan), however due to time constraints and convenience the 35 second year students of government higher secondary school Jamrud Khyber agency Khyber Pakhtunkhwa were taken as convenience sample for this study. A modified questionnaire of Abulude (2009), Cheung (2009) and class room life script of Johnson and Johnson, Johnson, Johnson & Anderson (1983), of likert scale were used as an instrument for this study. The attitude of the students was analyzed by the mean score of each statement. The study revealed that students were very much satisfied from the chemistry teacher however students have worries about the subject of chemistry and the methodology of chemistry.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.839
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.001

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 head0.053
GPT teacher head0.425
Teacher spread0.373 · 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

Citations19
Published2012
Admission routes1
Has abstractyes

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