Computational Thinking on the Way to a Cultural Technique

Author(s):  
Andreas Bollin ◽  
Peter Micheuz
2017 ◽  
Author(s):  
Timothée Poisot ◽  
Richard Labrie ◽  
Erin Larson ◽  
Anastasia Rahlin

AbstractComputational thinking is the integration of algorithms, software, and data, to solve general questions in a field. Computation ecology has the potential to transform the way ecologists think about the integration of data and models. As the practice is gaining prominence as a way to conduct ecological research, it is important to reflect on what its agenda could be, and how it fits within the broader landscape of ecological research. In this contribution, we suggest areas in which empirical ecologists, modellers, and the emerging community of computational ecologists could engage in a constructive dialogue to build on one another’s expertise; specifically, about the need to make predictions from models actionable, about the best standards to represent ecological data, and about the proper ways to credit data collection and data reuse. We discuss how training can be amended to improve computational literacy.


Author(s):  
Timoleon Theofanellis ◽  
Evagelia Voulgari ◽  
Savvas Tsolakis

Computational thinking (CT) is a problem-solving process that refers to characteristics such as de-composition, abstraction, pattern recognition, and algorithms. This chapter focuses on educational robotics and their use in developing CT. Firstly, the importance of CT is analyzed along with the way it is applied in the classroom. It goes on discussing the way the introduction of educational robotic systems in education affect CT and the importance of the do-it-yourself philosophy. It presents two widely used educational robotic systems follows, Arduino and Lego EV3, along with examples of their relationship with CT development. The chapter finishes with a comparison of the two systems regarding the easiness and difficulties of using them.


2019 ◽  
Vol 12 ◽  
Author(s):  
Timothée Poisot ◽  
Richard LaBrie ◽  
Erin Larson ◽  
Anastasia Rahlin ◽  
Beno I Simmons

Computational thinking is the integration of algorithms, software, and data, tosolve general questions in a field. Computation ecology has the potential totransform the way ecologists think about the integration of data and models. Asthe practice is gaining prominence as a way to conduct ecological research, itis important to reflect on what its agenda could be, and how it fits within thebroader landscape of ecological research. In this contribution, we suggest areasin which empirical ecologists, modellers, and the emerging community ofcomputational ecologists could engage in a constructive dialogue to build on oneanother's expertise; specifically, about the need to make predictions frommodels actionable, about the best standards to represent ecological data, andabout the proper ways to credit data collection and data reuse. We discuss howtraining can be amended to improve computational literacy.


2020 ◽  
Vol 71 (3) ◽  
pp. 272-275
Author(s):  
Е.К. Henner ◽  

The question of the style of thinking, which most reflects the results of informatization of education, is discussed. It is shown that such is the so-called "computational thinking", which contributes to solving problems in a highly developed information and educational environment. Computational thinking is the way people think in the digital age that can be useful (and for many it is) in the world of information technology and the massive involvement of computers in solving problems. For the formation of computational thinking, special efforts must be made, and they will be fruitful only in a highly developed information and educational environment created in the process of informatization of education. Computational thinking does not arise by itself - it must be purposefully shaped.


Author(s):  
Maria Luisa Nardi

The failures and problems of school education today are caused by many factors, stemming from the bias of behaviorism that the teacher is burdened with, as well as being the result of changes in the way of thinking of new generations, often caused by the negative impact of technology – its source is usually in the process of teaching and growth itself. Computational thinking allows us to take complex problems, understand what the problem is, and develop solutions. We can present these solutions in a way that both computers and people can understand.


Author(s):  
Dian Susanti

 This research will be based in the background by the problems often encountered by students that is completing a math problem, in particular the question of the story. Most students consider the intricate story is primarily a matter which could not be resolved in a practical way. Formulation of the problem in this research is "how the profile of the creative thinking of students of class VIII C 1 PGRI Surabaya in JUNIOR HIGH solve math story?”.The purpose of this research is to know the profile of the creative thinking of students of class VIII C 1 PGRI Surabaya SMP in solving math story problem, especially in terms of his thinking ability. the thought process is a process that consists of the reception of information (from outside or in the students), management, storage, and callbacks that information from the student's memory. This means that in thinking someone is sure doing a process to find a conclusion or completion of something that thought. Thought process in this study are grouped into three conceptual thought process, that is the way of thinking of students in solving a problem using concepts that have been learned. Semikonseptual, that is the way of thinking of students in solving a problem using concepts that have been learned, but not complete. Computational, i.e. a way of thinking of students in solving a problem without using concepts that have been learned. In research done by using written tests, documentation, and interviews.The subject in this study consisted of 6 students consisting of two people of high ability students, two students are capable of being, and two low-capable students. The data obtained by means of the previous semester raport values obtained, test essay be reserved story sdah validated by two validator, and then in kroschek with the interview. The results showed that the thought process of a group of high-ability students tend to think conceptually, capabilities are likely to be in the process of thinking is semikonseptual, whereas the thought processes of a group of low ability students tend to be on Computational thinking processes. Keywords: process of thinking, conceptual, computational, semikonseptual.


2008 ◽  
Vol 51 (8) ◽  
pp. 25-27 ◽  
Author(s):  
Mark Guzdial

2018 ◽  
Vol 41 ◽  
Author(s):  
Maria Babińska ◽  
Michal Bilewicz

AbstractThe problem of extended fusion and identification can be approached from a diachronic perspective. Based on our own research, as well as findings from the fields of social, political, and clinical psychology, we argue that the way contemporary emotional events shape local fusion is similar to the way in which historical experiences shape extended fusion. We propose a reciprocal process in which historical events shape contemporary identities, whereas contemporary identities shape interpretations of past traumas.


2020 ◽  
Vol 43 ◽  
Author(s):  
Aba Szollosi ◽  
Ben R. Newell

Abstract The purpose of human cognition depends on the problem people try to solve. Defining the purpose is difficult, because people seem capable of representing problems in an infinite number of ways. The way in which the function of cognition develops needs to be central to our theories.


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