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Computational thinking and academic imposter syndrome: a serial mediation model of creative and critical thinking [PDF]

Frontiers in Psychology
ObjectiveThis study aimed to examine the relationships among computational thinking, creative thinking, critical thinking, and academic imposter syndrome within a serial mediation framework.
Adem Yilmaz, Mehmet Koray Serin
doaj   +2 more sources

The CT-cube: A framework for the design and the assessment of computational thinking activities

Computers in Human Behavior Reports, 2022
Computational thinking is a fundamental competence that is being introduced in K-12 and succeeding curricula worldwide. Despite this huge effort, many computational thinking models in the literature do not explicitly take into consideration the pupils ...
Alberto Piatti, Giorgia Adorni, Laila El-Hamamsy, Lucio Negrini, Dorit Assaf, Luca Gambardella, Francesco Mondada   +6 more
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Prevalence of symptoms, comorbidities, fibrin amyloid microclots and platelet pathology in individuals with Long COVID/Post-Acute Sequelae of COVID-19 (PASC)

Cardiovascular Diabetology, 2022
Background Fibrin(ogen) amyloid microclots and platelet hyperactivation previously reported as a novel finding in South African patients with the coronavirus 2019 disease (COVID-19) and Long COVID/Post-Acute Sequelae of COVID-19 (PASC), might form a ...
Etheresia Pretorius, Chantelle Venter, Gert Jacobus Laubscher, Maritha J Kotze, Sunday O. Oladejo, Liam R. Watson, Kanshu Rajaratnam, Bruce W. Watson, Douglas B. Kell   +8 more
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Exploration of Data Fusion Strategies Using Principal Component Analysis and Multiple Factor Analysis

Beverages, 2022
In oenology, statistical analyses are used for descriptive purposes, mostly with separate sensory and chemistry data sets. Cases that combine them are mostly supervised, usually seeking to optimize discrimination, classification, or prediction power ...
Mpho Mafata, Jeanne Brand, Martin Kidd, Andrei Medvedovici, Astrid Buica   +4 more
doaj   +1 more source

Data fusion using Multiple Factor Analysis coupled with non-linear pattern recognition (fuzzy k-means): application to Chenin blanc

OENO One, 2022
Patterns in data obtained from wine chemical and sensory evaluations are difficult to decipher using classical statistics. Coupling data fusion with machine learning techniques could assist in solving these issues and lead to new hypotheses.
Mpho Mafata, Jeanne Brand, Astrid Buica
doaj   +1 more source

Data sharing: A Long COVID perspective, challenges, and road map for the future

South African Journal of Science, 2023
‘Long COVID’ is the term used to describe the phenomenon in which patients who have survived a COVID-19 infection continue to experience prolonged SARS-CoV-2 symptoms. Millions of people across the globe are affected by Long COVID.
Sunday O. Oladejo, Liam R. Watson, Bruce W. Watson, Kanshukan Rajaratnam, Maritha J. Kotze, Douglas B. Kell, Etheresia Pretorius   +6 more
doaj   +1 more source

Solutions of fractional differential equations by using a blend of variational iteration method with Sumudu transform and application to price adjustment equations

Partial Differential Equations in Applied Mathematics, 2023
The presence of delays in a mathematical model can improve its vitality and suitability in describing several phenomena. However, in the presence of delays, nonlinear fractional differential equations are more difficult to study.
M.O. Aibinu, S. Moyo
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The relation between computational thinking and logical thinking in the context of robotics education

Frontiers in Education, 2022
Computational thinking is a popular student skill on a steep rise today. Nevertheless, the assessment of this skill is a matter of contention. This pilot study examines whether computational and logical thinking are related.
Kim Veenman, Jos L. J. Tolboom, Olivier van Beekum   +2 more
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Design thinking and computational thinking: a dual process model for addressing design problems

Design Science, 2021
This paper proposes a relationship between design thinking and computational thinking. It describes design thinking and computational thinking as two prominent ways of understanding how people address design problems. It suggests that, currently, each of
Nick Kelly, John S. Gero
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Using Latent Semantic Analysis to Investigate Wine Sensory Profiles—Application in Swedish Solaris Wines

Beverages
Online text is a source of data in many fields, but it is yet to be explored by sensory scientists. The present work aimed to explore the suitability of using a bibliometric methodology such as Latent Semantic Analysis (LSA) to understand and define wine
Gonzalo Garrido-Bañuelos, Mpho Mafata, Astrid Buica   +2 more
doaj   +1 more source