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Record W4386800505 · doi:10.23977/aetp.2023.071019

Exploration of the Professional Group Course System of Intelligent Navigation

2023· article· en· W4386800505 on OpenAlexvenueno aff
Yewei Guan, You Zhou

Bibliographic record

VenueAdvances in Educational Technology and Psychology · 2023
Typearticle
Languageen
FieldComputer Science
TopicEducational Systems and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsCourse (navigation)Vocational educationCurriculumNavigation systemEngineeringIntelligent decision support systemEngineering managementDeconstruction (building)Computer scienceArtificial intelligencePsychologyPedagogy

Abstract

fetched live from OpenAlex

With the development of intelligent ships, intelligent navigation has become the inevitable choice of the future shipping industry, which will have a profound impact on the navigation education. In order to meet the needs of the cultivation of intelligent navigation talents in the future, it is necessary to timely reform and adjust the training mode and curriculum system of Marine professional group talents. This paper analyzes the changes of intelligent navigation's demand for talents, expounds the types of intelligent navigation positions and their professional abilities, redefines the training objectives of intelligent navigation professional group talents, explores the reform path of the training mode of intelligent navigation professional group talents, and carries out the course deconstruction and reconstruction. This paper puts forward the intelligent navigation major group course system based on the four modules of "artificial intelligence general education", "vocational general education", "core skill training" and "intelligent navigation education", so as to provide reference for the construction of intelligent navigation major.

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: Empirical
Teacher disagreement score0.300
Threshold uncertainty score0.189

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 head0.027
GPT teacher head0.388
Teacher spread0.362 · 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
Published2023
Admission routes1
Has abstractyes

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