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Record W4399028689 · doi:10.5430/wje.v14n2p37

Prospective Teachers' Views on Teaching Science Concepts

2024· article· en· W4399028689 on OpenAlexvenueno aff
Ali Naci Yıldız

Bibliographic record

VenueWorld Journal of Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicScience Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationPsychologyTeaching methodPedagogy

Abstract

fetched live from OpenAlex

This study aims to investigate the views of pre-service teachers who have taken the "Science Teaching" course in the undergraduate program of classroom teaching about the teaching of science concepts. In this study, the phenomenology study approach, one of the qualitative research designs, was used. The study group of this research consisted 75 pre-service teachers, 56 female and 19 male, studying in the third year of the undergraduate primary teaching program of a state university. In this study, the views of the pre-service teachers who took the science teaching course about the teaching of science concepts were determined through four open-ended questions followed by face-to-face semi-structured interviews with eight participants. It can be said that the idea that prototype examples should be given about a concept in concept teaching is known by pre-service teachers (82.3%). It was observed that the pre-service teachers were aware of a misconception about force as a science concept (90.7%), but they had difficulty writing the main views of learning theories (48.0%). It is an important detail that the participants did not see the exams as tools to eliminate misconceptions at a high rate (82.7%). Interviews were conducted with eight participants who volunteered and had available time about the answers they wrote for four open-ended questions. It was seen that the participants’ opinions supported the findings of this study. Some suggestions were made based on the findings of the study.

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)0.005
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.854
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.065
GPT teacher head0.493
Teacher spread0.428 · 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 designNot applicable
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

Citations1
Published2024
Admission routes1
Has abstractyes

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