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An Analysis of Current Situation of MBA English Teaching

2010· article· en· W2142690877 on OpenAlexvenueno aff
Fen Xiao

Bibliographic record

VenueCross-cultural communication · 2010
Typearticle
Languageen
FieldComputer Science
TopicHigher Education and Teaching Methods
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSociologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

This paper tries to probe into the current situation of MBA English teaching in our country and that of ZNUEL. Based on the analysis of MBA English course design, teaching approach as well as the structure of English teachers and MBA candidates, the author finds out some problems existing in MBA English teaching field. Key words: MBA English teaching; Problems; Current; situation Resume: Cet article tente d’explorer la situation actuelle de l'enseignement de MBA en anglais dans notre pays et celle de ZNUEL. Base sur l'analyse de la conception des cours de MBA en anglais, les methodes d'enseignement ainsi que la structure des enseignants d'anglais et des candidats MBA, l'auteur decouvre des problemes existants dans le domaine de l'enseignement de MBA en anglais. Mots-cles: L’enseignement de MBA; en anglais; Problemes; Situation actuelle 摘 要:本文的目的在於探討MBA 商務英語課程的課程設置和教材、授課方式、教學大綱、師資隊伍、學員結構等方面的現狀,在此基礎上對MBA 英語教學遇到的問題進行分析和說明。 關鍵詞:課程設置;授課方式;教學大綱;師資隊伍;學員結構

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score0.332

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.042
GPT teacher head0.434
Teacher spread0.392 · 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 designObservational
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
Published2010
Admission routes1
Has abstractyes

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