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Record W2464030112 · doi:10.5539/ies.v9n7p88

Preservice Mathematics Teachers’ Metaphorical Perceptions towards Proof and Proving

2016· article· en· W2464030112 on OpenAlexvenueno aff
Zeynep Bahar Erşen

Bibliographic record

VenueInternational Education Studies · 2016
Typearticle
Languageen
FieldPsychology
TopicFamilies in Therapy and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationPerceptionClass (philosophy)MathematicsPsychologyComputer science

Abstract

fetched live from OpenAlex

<p class="apa">Since mathematical proof and proving are in the center of mathematics; preservice mathematics teachers’ perceptions against these concepts have a great importance. Therefore, the study aimed to determine preservice mathematics teachers’ perceptions towards proof and proving through metaphors. The participants consisted of 192 preservice mathematics teachers in a public university in Aegean Region. As a data collection tool, to reveal preservice mathematics teachers’ metaphorical perceptions towards the proof and proving, the form that includes the blanks in the sentences “Mathematical proof is like… Because…” and “Mathematical proving is like… Because…” Data was analyzed using content analysis method. Sixteen themes about the concept of proof and twenty themes about the concept of proving were composed. After taking a specialist opinion, Miles&Huberman’s reliability co-efficient was calculated .92. According to the research results; preservice mathematics teachers had positive perceptions for mathematical proof; but in the matter of proving, they had negative perceptions.As a recommendation, it should be conducted to present why preservice mathematics teachers’ perceptions about proof and proving are negative by using depth interviews.</p>

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)0.000
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: Empirical
Teacher disagreement score0.444
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.070
GPT teacher head0.424
Teacher spread0.354 · 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

Citations4
Published2016
Admission routes1
Has abstractyes

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