Defining and Assessing Students’ Computational Thinking in a Learning by Modeling Environment

Studying the Interactions Between Science, Engineering, and Computational Thinking in a Learning-by-Modeling Environment

Lecture Notes in Computer Science - Artificial Intelligence in Education ◽

10.1007/978-3-030-52237-7_48 ◽

2020 ◽

pp. 598-609

Author(s):

Ningyu Zhang ◽

Gautam Biswas ◽

Kevin W. McElhaney ◽

Satabdi Basu ◽

Elizabeth McBride ◽

...

Keyword(s):

Computational Thinking ◽

Modeling Environment ◽

Learning By Modeling

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Understanding Students’ Problem-Solving Strategies in a Synergistic Learning-by-Modeling Environment

Lecture Notes in Computer Science - Artificial Intelligence in Education ◽

10.1007/978-3-319-93846-2_76 ◽

2018 ◽

pp. 405-410 ◽

Cited By ~ 2

Author(s):

Ningyu Zhang ◽

Gautam Biswas

Keyword(s):

Problem Solving ◽

Modeling Environment ◽

Problem Solving Strategies ◽

Learning By Modeling

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Asserting parallel computational thinking into an undergraduate computer science curriculum

PsycEXTRA Dataset ◽

10.1037/e605122012-018 ◽

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

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Computational Thinking Scale

PsycTESTS Dataset ◽

10.1037/t78367-000 ◽

2019 ◽

Author(s):

Buket Ertugrul-Akyol

Keyword(s):

Computational Thinking

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

Informatics and Education ◽

10.32517/0234-0453-2019-34-6-34-41 ◽

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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