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Record W4205626237 · doi:10.5430/jct.v11n1p245

Enhancing the Performance of Andragogic Education

2022· article· en· W4205626237 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

VenueJournal of Curriculum and Teaching · 2022
Typearticle
Languageen
FieldComputer Science
TopicEducational Innovations and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsAndragogyLifelong learningAdult educationPedagogyQuality (philosophy)Adult LearningPersonalityPsychologyMathematics educationSociologySocial psychologyEpistemology

Abstract

fetched live from OpenAlex

The article is devoted to the development of adult education, its andragogical principles and the impact on the quality of lifelong pedagogical education. The authors examined the mechanisms for improving the quality of lifelong pedagogical education by updating the content, developing and implementing innovative teaching technologies following new European guidelines and concepts in education, taking into account national educational traditions. In the article, the authors considered the basic concepts of andragogy, investigated the specifics of andragogical processes, the world experience in adult education. The authors noted that adult education today is based on continuous learning, self-education, and self-development. People will have to retrain 2-3 times in life; they will retrain at least once in adulthood. The research methodology is based on personality-activity and systematic approaches. As a result of theoretical and methodological research, the authors proposed a mechanism based on information technology (distance learning), the principles of androgynous learning and the specific features of adult learning (which the authors divided into three groups). This mechanism can increase the effectiveness of andragogical education in developing an educational trajectory. Further research is the search for ways of state financing of adragogical education and the development of indicators of its effectiveness.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.733
Threshold uncertainty score0.251

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.012
GPT teacher head0.272
Teacher spread0.259 · 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