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Enregistrement W1557353359

Predictors of Critical Thinking Skills of Incoming Business Students

2011· article· en· W1557353359 sur OpenAlexaboutno aff
Donna Whitten, Tantatape Brahmasrene

Notice bibliographique

RevueThe Academy of Educational Leadership Journal · 2011
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueEducation and Critical Thinking Development
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCritical thinkingMathematics educationPsychologyTest (biology)Promotion (chess)Set (abstract data type)PoliticsComputer sciencePolitical science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

ABSTRACT Educators recognize the importance of critical thinking. Students discover that studying topics such as business requires a strategy more extensive than rote memory. Using the California Critical Thinking Skills Test (CCTST), this research uses the hypothesis that the total critical thinking score and its components such as inductive reasoning, deductive reasoning, evaluation, analysis, and inference are affected by college classification, high school GPA, high school rank, SAT verbal scores, SAT mathematical scores, gender, race and major. INTRODUCTION The promotion of critical thinking ranks among the primary goals for educators today (Elder, 2004). As reported in a review of literature by the Office of Outcomes Assessment of the University of Maryland in 2006, critical thinking as an outcome of postsecondary education was made explicit by several recent national reports (Association of American Colleges and Universities, 1985; National Education Goals Panel, 1991; National Institute of Education Study Group, 1984). As such, the topic of critical thinking is of interest to educators. Various definitions of critical thinking have been offered. They all share a common set of meanings. Critical thinking refers to the use of cognitive skills or strategies and involves solving problems, formulating inferences, calculating likelihoods, and making decisions. According to the manual for the California Critical Thinking Skills Test (CCTST) developed by Peter and Noreen Faci one, an important consensus with regard to the concept of critical thinking was announced in 1990 by a panel of theoreticians drawn from throughout the United States and Canada representing several academic fields. These experts characterized critical thinking as the process of purposeful, self-regulatory judgment (Faci one, 1990). Critical thinking, so defined, is the cognitive engine which drives problem-solving and decision-making. At the core of critical thinking are the cognitive skills of reasoning, evaluation, analysis and inference. RELATED LITERATURE Previous studies have used the CCTST to measure critical thinking (Williams, 2003; Zettergren, 2004; Colucciello, 2005; Yang, 2008). Scores are included on the following skills: inductive and deductive reasoning, evaluation, analysis and inference. Inductive reasoning and deductive reasoning were scored on the CCTST. Induction is usually described as moving from the specific to the general while deduction begins with the general and ends with the specific. In the case of a strong inductive argument it is unlikely or improbable that the conclusion would actually be false and all the premises true, but it is logically possible that it might. Arguments based on experience or observations are expressed inductively since inductive reasoning is based on making a conclusion based on a set of empirical data. If it is observed that something is true many times, concluding that it will be true in all instances is a use of inductive reasoning. Deductive reasoning allows proof the hypothesis is true. For valid deductive arguments, it is not logically possible for the conclusion to be false and all the premises true. For example, deductive reasoning begins with a general rule, which is known to be true. From that general rule a conclusion is made about something specific. The evaluation score on the CCTST measures the results of an individual's reasoning. The justification of that reasoning in terms of the evidential, conceptual, methodological, criteriological and contextual considerations is also measured. Evaluation involves examining, appraising and judging something carefully. It is the process of examining a system or system component to determine the extent to which specified properties are present. Evaluation is the systematic determination of merit, worth, and significance of something or someone. The CCTST score on Analysis measures the ability to identify the intended and actual inferential relationships intended to express beliefs, judgments, experiences, reasons, information or opinions. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,445
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,136
Tête enseignante GPT0,398
Écart entre enseignants0,262 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations22
Publié2011
Routes d'admission1
Résumé présentoui

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