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Record W2181494745 · doi:10.5430/ijhe.v5n1p62

The Constructivist Approach? I have Heard about it but I have never Seen it “An Example of Exploratory Sequential Mixed Design Study”

2015· article· en· W2181494745 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Higher Education · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Research and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsQualitative researchQualitative propertySocial constructivismExploratory researchPsychologyMathematics educationConstructivism (international relations)Data collectionMultimethodologyCluster samplingConstructivist teaching methodsPedagogyComputer scienceTeaching methodSociologySocial science

Abstract

fetched live from OpenAlex

The present study was undertaken to investigate the quality of education based on the views of the students attending social studies education departments at the Faculties of Education and to determine the existing problems and present suggestions for their solutions. The study was conducted according to exploratory sequential mixed method. In line with this, first of all, qualitative data was collected and based on qualitative data, a quantitative data collection tool was developed. The qualitative study group was chosen via criterion sampling, and two-phase cluster sampling method was used to determine the quantitative study group. The qualitative study group is composed of 6 participants and the quantitative group is composed of 1670 students. In line with the responds the participants provided the content was structured and presented under 3 themes. These themes are: 1- Findings with regard to instructional activities of lecturers, 2- Behaviorism instead of constructivism. 3- Findings related to physical, social and cultural environment. It was concluded that quantitative data collected indicate that qualitative data can be generalized and that various factors are influential on education provided at the faculties.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score0.792

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 science0.0010.000
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 head0.202
GPT teacher head0.436
Teacher spread0.234 · 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