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Record W3006023512 · doi:10.5430/wje.v10n1p49

The Pedagogical Problems of Making the Educational Aim More Specific

2020· article· en· W3006023512 on OpenAlexvenueno aff
Sara Kakuk

Bibliographic record

VenueWorld Journal of Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Assessment and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsCLARITYProcess (computing)Set (abstract data type)Order (exchange)Field (mathematics)Computer scienceEducational researchEngineering ethicsMathematics educationManagement scienceSociologyPedagogyPsychologyEngineeringMathematics

Abstract

fetched live from OpenAlex

When one discusses the dissemination of the educational aims and tasks on a theoretical, as well as a methodological, level, it is important to highlight that pedagogy, being the science of education that it is, finds solutions in differing directions. One is theoretical, and the other is the realization of the sum of the demands of working in the field of education. More often than not, educational aims come from the basic demands of society. They can also be taken from documents of state, laws, resolutions etc. Sometimes, they can be set too wide and can be too general. This is thought to be the reason of insufficient clarity of the educational aim when we discuss making the educational aim more specific and realizing it in the educational process itself. This is where we find the need to further develop the educational aim and make it more specific in order to make it possible to realize for a practical educational purpose and to realize the educational goals of the person we are trying to educate. This process of specification relates to two levels. One is the scientifically-theoretical, and the other is a practical one. This paper, therefore, deals with ways of making the educational aim more specific and realizing it in the educational process. The paper also highlights the importance of basing the educational aim in a scientific, as well as a theoretical, approach and making it more specific in order to achieve it as fully as possible in the educational process. The paper presents a curriculum approach to the realization of the educational aim and its specification. By doing so, it creates the basis for acting in a scientific-theoretical way, as well as in a practical one.

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)0.001
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: none
Teacher disagreement score0.869
Threshold uncertainty score0.750

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.180
GPT teacher head0.459
Teacher spread0.279 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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