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Record W2079145570 · doi:10.5539/ies.v6n7p88

Learner Acquisition and Its Relationship with Constructivist Learner Roles in a Secondary Education Chemistry Curriculum in Québec/Canada

2013· article· en· W2079145570 on OpenAlexvenueaboutno aff
Abdullah Aydın

Bibliographic record

VenueInternational Education Studies · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicScience Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsConstructiveConstructivist teaching methodsCurriculumMathematics educationMeaning (existential)Constructivism (international relations)PedagogyProcess (computing)PsychologyChemistryTeaching methodSociologyEpistemologyComputer sciencePolitical science

Abstract

fetched live from OpenAlex

This study aims to identify constructivist learner roles in acquisitions in the secondary education chemistry curriculum of the province of Québec / Canada. This research used document analysis as a qualitative research method. According to our findings; the “learner roles” in curriculum correspond with the “student roles” emphasized by the program. We found that these overlaps mostly cohere with “constructive learner roles”. These cohering constructive learner roles are i) the individual takes the control of the learning process, ii) the individual is selective, constructive and active in the learning process, iii) the individual carries out his/her responsibilities in constructive learning environments ,iv) the individual, constructs a meaning in his/her mind for knowledge acquired in the construction process and appropriates that knowledge, v) the individual communicates and discusses issues with other learners and teachers. Moreover, a clue indicating that a History-Technology-Society perspective was used as a background framework for generating the special approaches and goals for science learning has been encountered in the assumption of the constructivist learner roles. This clue is a quote from Albert Einstein: “Every day I remind myself that my inner and outer life are based on the labors of other men, living and dead, and that I must exert myself in order to give in the same measure as I have received and am still receiving” This clue can be generalized to contribution of education programs to teaching programs / the contribution of chemistry program to the educational program.

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)0.001
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 score0.251
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.028
GPT teacher head0.364
Teacher spread0.336 · 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

Citations2
Published2013
Admission routes2
Has abstractyes

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