Predictors of Critical Thinking Skills of Incoming Business Students
Notice bibliographique
Résumé
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. …
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».