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Record W4255121126 · doi:10.23977/iemss.2018.91428

The Construction and Research of the Training Mode and the Mixed Teaching Method of Mechanical Engineering Specialty Based on the Achievement-oriented Education

2018· article· en· W4255121126 on OpenAlexaboutno aff
Shuang Zhang, Xiangyan Lv

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicHigher Education and Teaching Methods
Canadian institutionsnot available
FundersEducation Department of Jilin ProvincePeople's Government of Jilin Province
KeywordsSpecialtyTraining (meteorology)Mode (computer interface)Computer scienceEngineering educationMathematics educationEngineering managementEngineeringPsychologyHuman–computer interactionPhysics

Abstract

fetched live from OpenAlex

As an advanced education concept in the present time, the result-oriented education concept has been widely accepted in developed countries such as the United States and Canada, and is an important part of the development of education concept in the international community. The introduction and implementation of the achievement-oriented education concept is beneficial not only to the cultivation of engineering talents, but also to the cultivation of talents in domestic institutions of higher learning and education reform. This paper will focus on the idea of achievement-oriented education, and discuss the training mode of mechanical industrial engineering talents from the aspects of curriculum setting, teaching method and 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)0.011
metaresearch head score (Gemma)0.001
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: Methods · Consensus signal: none
Teacher disagreement score0.899
Threshold uncertainty score0.571

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.001
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 science0.0010.000
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 head0.056
GPT teacher head0.394
Teacher spread0.338 · 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
GenreMethods

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
Published2018
Admission routes1
Has abstractyes

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