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Record W2750245872 · doi:10.5539/ass.v13n9p26

Research on Consistent Pattern of Development of the Educators’ Ability to Self-Improvement

2017· article· en· W2750245872 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

VenueAsian Social Science · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnterprise Management and Information Systems
Canadian institutionsnot available
Fundersnot available
KeywordsComponent (thermodynamics)Object (grammar)Field (mathematics)PsychologyCognitionComputer scienceTupleProfessional developmentDevelopment (topology)Fuzzy logicMathematics educationCognitive psychologyArtificial intelligenceMathematicsPedagogy

Abstract

fetched live from OpenAlex

The educators’ ability to self-improvement is considered in the article by means of a special system. It can be represented as a three-level hierarchical model with fuzzy structural relationships. The intermediate level of this model contains components that enable the formation and development of the object of the upper level (educators’ ability to self-improvement): 1) motivational-valuable component; 2) the emotional-volitional component; 3) reflective-evaluative component; 4) cognitive component; 5) organizing component. The lower level of the model contains indicators. They make it possible to evaluate the degree of the selected components’ formation and the stage of the development of the investigated ability as a whole. Each state of the educators' ability to self-improvement is characterized by a tuple. The stage reached by the relevant components is the element of this tuple. According to self-assessments received from 214 lecturers and teachers, the most common states were defined. It has allowed to form a sequence of such states. The transitions between them describe the patterns of development of the educators' ability to self-improvement. The described technique allows us to characterize the development of this ability not only among educators, but also among professional managers, doctors, engineers in the field of electrical engineering and electronics, and others.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.818
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.050
GPT teacher head0.335
Teacher spread0.285 · 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