Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
REVIEW OF COMPUTATIONAL THINKING MODELS IN VARIOUS LEARNING FIELDS
2
Zitationen
3
Autoren
2022
Jahr
Abstract
CT has recently sparked a lot of research in a variety of disciplines. Many researchers have attempted to define CT and published articles on the subject and its model. The developed models show a dependency of dimensions. As a result, a review of 14 computational thinking models has been completed for this article. The goal is to combine the many elements and therefore contribute to a common understanding of words. The authors identified the most often used terms in CT definitions and scope, culminating it in the CT dimensions category. The results of this study may be beneficial not only in the investigation of CT research subjects and the identification of CT in the literature but also in present and future attempts to apply CT in diverse settings and aims.
Ähnliche Arbeiten
New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)
2008 · 28.850 Zit.
TNM Classification of Malignant Tumours
1987 · 16.123 Zit.
A survey on deep learning in medical image analysis
2017 · 13.540 Zit.
Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
2011 · 10.752 Zit.
The American Joint Committee on Cancer: the 7th Edition of the AJCC Cancer Staging Manual and the Future of TNM
2010 · 9.106 Zit.