scholarly journals Understanding student computational thinking with computational modeling

2013 ◽  
Author(s):  
John M. Aiken ◽  
Marcos D. Caballero ◽  
Scott S. Douglas ◽  
John B. Burk ◽  
Erin M. Scanlon ◽  
...  
Keyword(s):  
Computational Modeling ◽  
Computational Thinking

scholarly journals Developing Computational Thinking Teaching Strategies to Model Pandemics and Containment Measures

2021 ◽  
Vol 18 (23) ◽  
pp. 12520
Author(s):  
Roberto Araya ◽  
Masami Isoda ◽  
Johan van der Molen van der Molen Moris
Keyword(s):  
Computational Modeling ◽  
Real World ◽  
Virus Transmission ◽  
Computational Thinking ◽  
Asia Pacific ◽  
School Students ◽  
Grade Levels ◽  
Containment Measures ◽  
And Mathematics ◽  
Key Aspects

COVID-19 has been extremely difficult to control. The lack of understanding of key aspects of pandemics has affected virus transmission. On the other hand, there is a demand to incorporate computational thinking (CT) in the curricula with applications in STEM. However, there are still no exemplars in the curriculum that apply CT to real-world problems such as controlling a pandemic or other similar global crises. In this paper, we fill this gap by proposing exemplars of CT for modeling the pandemic. We designed exemplars following the three pillars of the framework for CT from the Inclusive Mathematics for Sustainability in a Digital Economy (InMside) project by Asia-Pacific Economic Cooperation (APEC): algorithmic thinking, computational modeling, and machine learning. For each pillar, we designed a progressive sequence of activities that covers from elementary to high school. In an experimental study with elementary and middle school students from 2 schools of high vulnerability, we found that the computational modeling exemplar can be implemented by teachers and correctly understood by students. We conclude that it is feasible to introduce the exemplars at all grade levels and that this is a powerful example of Science Technology, Engineering, and Mathematics (STEM) integration that helps reflect and tackle real-world and challenging public health problems of great impact for students and their families.

scholarly journals Developing Computational Thinking to Help Tackle Pandemic Challenges

2021 ◽  
Author(s):  
Roberto Araya ◽  
Masami Isoda ◽  
Johan van der Molen Morris
Keyword(s):  
Middle School Students ◽  
Computational Modeling ◽  
Real World ◽  
Virus Transmission ◽  
Computational Thinking ◽  
School Students ◽  
Grade Levels ◽  
Key Aspects ◽  
Elementary And Middle School ◽  
Real World Problems

COVID-19 has been extremely difficult to control. The lack of understanding of key aspects of pandemics has affected virus transmission. On the other hand, there is a demand to incorporate Computational Thinking (CT) in the curricula with applications in STEM. However, there are still no exemplars in the curriculum that apply CT to real-world problems such as controlling a pandemic or other similar global crises. In this paper, we fill this gap by proposing exemplars of CT for modeling the pandemic. We designed exemplars following the three pillars of the APEC InMside framework for CT: algorithmic thinking, computational modeling, and machine learning. For each pillar, we designed a progressive sequence of activities that covers from elementary to high school. In an experimental study with elementary and middle school students from 2 schools of high vulnerability, we found that the computational modeling exemplar can be implemented by teachers and correctly understood by students. We conclude that it is feasible to introduce the exemplars at all grade levels, and that this is a powerful example of STEM integration that helps reflect and tackle real-world and challenging public health problems of great impact for students and their families.

Asserting parallel computational thinking into an undergraduate computer science curriculum

2011 ◽  
Author(s):  
Edusmildo Orozco ◽  
Rafael Arce-Nazario ◽  
Peter Musial ◽  
Cynthia Lucena-Roman ◽  
Zoraida Santiago
Keyword(s):  
Computer Science ◽  
Science Curriculum ◽  
Computational Thinking ◽  
Computer Science Curriculum

Computational Thinking Scale

2019 ◽  
Author(s):  
Buket Ertugrul-Akyol
Keyword(s):  
Computational Thinking

Computational modeling of high pressure combustion mechanism in scram accelerator

2000 ◽  
Vol 10 (PR11) ◽  
pp. Pr11-131-Pr11-141 ◽  
Author(s):  
J.-Y. Choi ◽  
B.-J. Lee ◽  
I.-S. Jeung
Keyword(s):  
High Pressure ◽  
Computational Modeling ◽  
Combustion Mechanism

THE METHODS OF DEVELOPING COMPUTATIONAL THINKING OF STUDENTS WHILE STUDYING THE COURSE "NUMERICAL METHODS" BASED ON BLENDED LEARNING

2019 ◽  
pp. 34-41
Author(s):  
M. M. Klunnikova
Keyword(s):  
Numerical Methods ◽  
Blended Learning ◽  
Computational Thinking ◽  
Individual Characteristics ◽  
Diagnostic Model ◽  
Mathematics Students ◽  
Professional Activities ◽  
Cognitive Component ◽  
Professional Field ◽  
The Individual

The work is devoted to the consideration of improving the quality of teaching students the discipline “Numerical methods” through the development of the cognitive component of computational thinking based on blended learning. The article presents a methodology for the formation of computational thinking of mathematics students, based on the visualization of algorithmic design schemes and the activation of the cognitive independence of students. The characteristic of computational thinking is given, the content and structure of computational thinking are shown. It is argued that a student with such a mind is able to manifest himself in his professional field in the best possible way. The results of the application of the technique are described. To determine the level of development of the cognitive component of computational thinking, a diagnostic model has been developed based on measuring the content, operational and motivational components. It is shown that the proposed method of developing computational thinking of students, taking into account the individual characteristics of students’ thinking, meaningfully based on the theoretical and practical aspects of studying the discipline, increases the effectiveness of learning the course “Numerical methods”. The materials of the article are of practical value for teachers of mathematical disciplines who use information and telecommunication technologies in their professional activities.

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