The Validity and Reliability of the Marmara Learning Styles Scale (MLSS).
Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
Abstract The science of education has focused on alternative educational approaches for years with a view to meeting the needs of wide student audiences in classes. One of the sources of the differences in learning performance at class environment is the learning styles. This study has been conducted to develop a learning styles scale for students at the secondary education level. Within the scope of the study, a learning styles scale for the secondary education level tailored to the conditions in Turkey has also been developed. The study was started with 223 items and implementations were carried out on 909 high school students. After the study, Cronbach's Alpha coefficient was determined as 0.95. Furthermore, it was determined that item-total and corrected item-total correlations were significant and items were discriminative. The factor analysis has yielded that the items group under a total of 8 factors, total variance amount described was around 0.56 and that significant correlations were present between the factors. Key Words Learning, Learning Styles, Cognitive Learning, Secondary Education Facts on learning are much richer and more complicated compared to quarter century ago in terms of kind and detail. The learning concept today totally abandons the learning approaches oriented in machine model that adopts as a black box and focuses more on cognitive explanations and facts discovered by cognitive psychologists which were nearly little or no quarter-century ago. Furthermore, even though the weight of different theoretical approaches in education and learning on current practices have changed, the core, theme and standing point of the efforts have not deflected and do not seem to deflect in the future. What is learning and how does it occur? The advancing technologies yield developments capable of routing the learning-teaching process in a way that could not even be imagined a couple of years ago. At the beginning of the 20th century, education was focused on the acquirement of literacy skills. These skills were, in most simple terms, reading-writing and the four key arithmetical operations. Directing people to critical way of thinking express themselves clearly and plausibly, solve complicated problems in science and mathematics were not the central principle of the educational systems of that time. At the beginning of a new century, these concepts have turned out to be the key knowledge/skills essential for almost everyone to adroitly cope with the complexities of life. Besides, investments dedicated to educational-scientific research are also observed at the fields of practice. All these developments in studies on learning have inaugurated a new era that builds up new bridges between the science and practice. These efforts on comprehending how the learns and the subsequent developments orientate and accelerate the changes in the education-teaching process (Bransford, Brown & Cocking, 1999). Cognitive-based explanations, the last link of the epistemic chain formed by approaches that conceptually study learning, have made their mark on the education approach in the second half of the 20th century. In view of the data presented by the cognitive learning approaches (Schauble, Glaser, Duschl, Schulze, & John, 1995), even though the fact that studies performed on the learning of animals [behavioral approaches] provide some supplemental information as to the learning process cannot be denied, studies and explorations focused rather on the learning of human and facilitating to the discovery of individualism and individual differences of people inside and outside and thereby revealing all set of potentials and secret powers of people have come to the foreground. Furthermore, the individual was started to be perceived as the learner not the learned. The education and teaching approach today is destined to an active-participative/searching student profile rather than a passive-listener, receiver one. …
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.
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 | 0,001 | 0,000 |
| 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 | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 découle