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Discussion on Teaching Method of Organizational Behavior under Constructivism Teaching Theory

2010· article· en· W1699769478 on OpenAlexvenueno aff
Caifeng Li

Bibliographic record

VenueCross-cultural communication · 2010
Typearticle
Languageen
FieldComputer Science
TopicHigher Education and Teaching Methods
Canadian institutionsnot available
Fundersnot available
KeywordsConstructivism (international relations)HumanitiesSociologyPsychologyPedagogyPhilosophyPolitical science

Abstract

fetched live from OpenAlex

The article discussed suitable teaching method of organizational behavior under constructivism teaching theory, which combined with course characteristic and teaching practice. The teacher sets up the study optimum environment, promote students to take use of interactive study model and encourage students think in order to achieve knowledge meaning construction under happy environment of teaching and studying. Key words: constructivism; organizational behavior; teaching theory; teaching method Resume: L'article a examine la methode de l'enseignement adaptee de comportements organisationnels sous la theorique de l’enseignement de constructivisme, qui combine les caracteristiques de cours et la pratique pedagogique. L'enseignant met en place le meilleur environnement d'etudes, incite les etudiants a prendre le modele d'etude interactif et les encourage de reflechir en vue de parvenir a la construction de connaissance et de sens dans un environnement d'enseignement et d'etudes heureux. Mots-cles: le constructivisme; les comportements organisationnels; la theorique de l’enseignement; la methode d'enseignement 摘 要:本文從“組織行為學”學科特性出發,結合教學實踐,引入了建構主義教學理念,探討了適宜的教學方法。旨在教師設置適當的學習情景,採用互動、協作的學習方式,鼓勵學生探索、思考,在寓教於樂、寓學于樂的環境中,幫助學生實現知識的意義構建。 關鍵詞:建構主義;組織行為學;教學理念;教學方法

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)0.003
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.529
Threshold uncertainty score0.825

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
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 head0.026
GPT teacher head0.406
Teacher spread0.380 · 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
Published2010
Admission routes1
Has abstractyes

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