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Record W3083622505 · doi:10.23977/aetp.2020.41013

Exploration and Practice on the Effectiveness of Connection of Middle and Higher Vocational Education from the Perspective of Management

2020· article· en· W3083622505 on OpenAlexvenueno aff
Jin Huanyang

Bibliographic record

VenueAdvances in Educational Technology and Psychology · 2020
Typearticle
Languageen
FieldComputer Science
TopicEducational Innovations and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsVocational educationPromotion (chess)Face (sociological concept)Process (computing)Perspective (graphical)Management systemOrientation (vector space)Middle managementSociologyComputer scienceMathematics educationEngineering managementPolitical scienceKnowledge managementPedagogyPsychologyEngineeringOperations managementArtificial intelligenceMathematicsPolitics

Abstract

fetched live from OpenAlex

As an important part of the construction of vocational education system in China, the connection of middle and higher vocational education is an effective way to break away from the original independent system of education length for the consistent training of vocational talents, but still has many unresolved practical problems on how to make it more thorough and effective in spite of existing patterns and corresponding measures. This paper, based on practice and research, aims to solve the practical problems in the process of connecting middle and higher vocational education and enhance its effectiveness in educational practice by establishing the main line of policy guidance and practice demand, establishing problem-orientation from the three levels of policy, teaching and management, and improving the schooling system, teaching system and management system from the multi-dimensional perspectives of research-led integrated innovation, face-up to reality-oriented optimization path and problem-orientation and innovative promotion, aiming at solving the practical problems in the process of connection of middle and higher vocational education so as to enhance its effectiveness in educational practice.

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)0.000
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.641
Threshold uncertainty score0.181

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.050
GPT teacher head0.373
Teacher spread0.323 · 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 designTheoretical or conceptual
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

Citations0
Published2020
Admission routes1
Has abstractyes

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