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What is Computational Thinking
1.
The critical problem-solving practices and concepts that draw on computer science, including problem-solving, abstraction, decomposition, algorithms, abstraction.
Learn more in: Computational Thinking and Making in Virtual Elementary Classrooms
2.
Broadly, a set of cognitive skills, processes and concepts that involve expressing problems and their solutions in ways that a computer could also execute.
Learn more in: Computational Thinking and Life Science: Thinking About the Code of Life
3.
A way of
thinking
and tackling problems with specific strategies rooted in computer science.
Learn more in: Learning to Teach Global Competencies in a Transforming Digital World: A National Examination and Case Study
4.
A problem-solving strategy that originated in computer science but is applicable to any complex problem.
Learn more in: Computational Thinking: The Bridge Between the Engineering Design Process and Project-Based Learning
5.
Computational thinking
comprises the types of strategies used to code computers and can be applied outside of computer programming with the goal of efficiency and elegance, i.e., doing a lot with a little.
Learn more in: Learning Coding Through Gaming
6.
Summarizes habits of mind or skills characterized by using computers to solve complex problems or, borrowing from computer science, developing problem-solving skills such as abstraction, pattern generalization, algorithmic
thinking
, decomposition, automation, and recursion.
Learn more in: Computational Thinking and Social Studies Teacher Education: What, Why, and How
7.
A way of approaching problems and situations using logical skills often employed in computer programming.
Learn more in: Coding Across the Curriculum: How to Integrate Coding Into Content Areas
8.
A process by which fundamental principles of computer science are employed in order to solve problems, design systems and understand human behavior.
Learn more in: Assessing Algorithmic Thinking Skills in Early Childhood Education: Evaluation in Physical and Natural Science Courses
9.
Is a set of problem-solving methods that involve expressing problems and their solutions in ways that a computer could execute.
Learn more in: Future STEMist Join Forces
10.
The development of thought processes that reflect the steps that one would execute to instruct computers to perform tasks.
Learn more in: Black Girls STEAMing Through Dance: Inspiring STEAM Literacies, STEAM Identities, and Positive Self-Concept
11.
An analytic approach to problem solving, designing systems, and understanding human behaviours, including practices such as abstraction, decomposition, prediction, problem representation, simulation and verification.
Learn more in: Geometry for Computer Graphics in K-12 Education
12.
A competence that can be useful in solving complex problems of everyday life.
Learn more in: Developing Storytelling Activities Supporting Computational Thinking Using Educational Robots
13.
It is a problem-solving process that implies the use of technological tools as well as algorithmic
thinking
and logical
thinking
to organize the data, analyse them and present the solutions. It is a fundamental skill in the 21 st -century.
Learn more in: Developing Computational Thinking Using Lego Education WeDo at 4th Grade of Primary Education: A Case Study
14.
A process by which fundamental principles of computer science are employed in order to solve problems, design systems and understand human behavior.
Learn more in: Introducing Computational Thinking Unplugged in Early Childhood Education Within the Context of Physical and Natural Science Courses: A Pilot Study in Greece
15.
The thought processes involved in defining and solving
computational
problems.
Learn more in: Shooting for the Stars: Micro-Persistence of Students in Game-Based Learning Environments
16.
Computational thinking
was first used by Seymour Papert and made widely known by Jeanette Wing at Carnegie Mellon University, in 2006. She explains that it is a problem-solving process and a fundamental skill for everyone in the world. Recently, there is a strong need to introduce
computational thinking
in the PK-12 educational environment.
Learn more in: Theories and Practices Behind Educational Robotics for All
17.
A method for solving problems mainly used for the development of computer applications, but that can also be used to support problem solving across all academic disciplines.
Learn more in: Computational Thinking in Innovative Computational Environments and Coding
18.
An algorithmic, problem-solving mind frame.
Learn more in: Can Everyone Code?: Preparing Teachers to Teach Computer Languages as a Literacy
19.
Thinking
algorithmically by using principles from computer science.
Learn more in: Computer Science in Mathematics Preservice Teacher Education
20.
Computational thinking
is a process of formulating and solving problems by breaking them down into simple steps.
Learn more in: Review on Artificial Intelligence and Robots in STEAM Education for Early Childhood Development: The State-of-the-Art Tools and Applications
21.
This concept is a
thinking
process which expresses active use of information and communication technologies’ concepts in solution of complex problems.
Learn more in: Investigation of Variables Related to Computational Thinking Self-Efficacy Level in Middle School Students: Are Demographic Variables, Academic Success, or Programming-Related Variables More Important?
22.
A set of problem-solving skills and techniques, a process of approaching a problem in a systematic manner and creating and expressing a solution such that it can be carried out by a computer.
Learn more in: Fostering Computational Thinking With Arduino and Lego Mindstorms
23.
Computational thinking
is a problem-solving heuristic that is commonly used in coding, but has applications across the curriculum. Four processes are generally included in
computational thinking
including decomposition, pattern recognition, abstraction, and creating an algorithm.
Learn more in: Steamsational Writing: An Investigation Into Using Robots to Inspire Children's Narrative Skills
24.
A systematic approach to problem-solving required for
computational
problems that includes problem decomposition, pattern recognition, abstraction, and algorithm design.
Learn more in: Advancing Research in Game-Based Learning Assessment: Tools and Methods for Measuring Implicit Learning
25.
Finding solutions as algorithms or
computational
steps.
Learn more in: Digital Nature Explorations: Taking Technology Outside
26.
Computational thinking
is a collection of problem-solving techniques that describes problems and solutions in a way that a computer can understand.
Learn more in: Towards the Development of a Game for Computational Thinking: Identifying Students' Needs and Interests
27.
Computational thinking
involves solving problems, designing systems, and understanding human behavior by employing analysis, abstraction, sequencing, negotiation, and consensus building technologies.
Learn more in: Engaging All Learners Through Quality Early Childhood Teacher Education
28.
Computational thinking
is first used by Seymour Papert, and made widely known by Jeanette Wing at Carnegie Mellon University, in 2006. She explains it is problem-solving process and a fundamental skill for everyone in the world. Recently, there is a strong need to introduce
computational thinking
in the PK-12 educational environment.
Learn more in: Educational Robotics as a Learning Tool for Promoting Rich Environments for Active Learning (REALs)
29.
A way of
thinking
or doing that involves solving problems, designing solutions using computer systems.
Learn more in: Mini-Robots as Smart Gadgets: Promoting Active Learning of Key K-12 Social Science Skills
30.
A set of thought processes and problem-solving abilities, such as pattern recognition and abstraction, that are foundational to computer science.
Learn more in: Video Game Making and Modding
31.
CT allows students to think recursively, decompose a problem into discrete, finite parts, and develop creative solutions in a series of logical steps (i.e., algorithms).
Learn more in: Making and Active Learning in Higher Education
32.
Thought processes involved in formulating problems and their solutions so that the solutions are represented in a form that can be effectively carried out by an information-processing agent.
Learn more in: Pre-Service Teacher Preparation to Integrate Computational Thinking
33.
A way of
thinking
and solving problems based on computer science concepts.
Learn more in: Teaching Media and Information Literacy in the 21st Century
34.
This concept is a
thinking
process which expresses active use of information and communication technologies’ concepts in solution of complex problems.
Learn more in: Educational Robotics and Computational Thinking Development
35.
Problem-solving using algorithms with or without computers.
Learn more in: Multimodal Literacy and Creative Computing Badges in a Teacher Quality Partnership Residency Program: Putting P-12 Students at the Center Right from the Start
36.
A novel problem-solving approach that enhances the interpolation of digital technologies with human ideas.
Learn more in: Home Design Using Robotic Devices: 3D Bioclimatic Home Design Utilizing Arduino
37.
A form of
thinking
that involves expressing problems and solving them in ways that can be assisted by computers.
Learn more in: Digital Education Strategy
38.
A broad category of skills that facilitate problem solving that involves creating a logical, stepwise solution that can be executed by a machine.
Learn more in: Assessment of Learning and Technology: Computer Science Education
39.
Is a special type of mental skills that one is able to formulate and solve a problem that a computer or people can understand.
Learn more in: Fostering Future Teachers' Competence in Computational Thinking in an Educational Technology Course
40.
Computational thinking
(CT) is a problem-solving process that includes the following characteristics: formulating problems in a way that enables us to use a computer and other tools to help solve them; logically organizing and analyzing data; representing data through abstractions such as models and simulations; automating solutions through algorithmic
thinking
; Identifying, analyzing, and implementing possible solutions with the goal of achieving the most efficient and effective combination of steps and resources; and generalizing and transferring this problem solving process to a wide variety of problems (ISTE, CSTA, 2011).
Learn more in: The Design, Implementation, and Evaluation of a Graduate Course to Prepare Teachers and School Librarians to Lead K-12 Computational Thinking
41.
The procedure of defining a problem and articulating its solution in a way that can be understood by a computer.
Learn more in: Educational Robotics: A Journey, Not a Destination
42.
A novel problem-solving approach that enhances the interpolation of digital technologies with human ideas.
Learn more in: The CCAP Project: Using 3D Technologies to Support Teaching Scenarios of History
43.
A set of problem-solving skills, methods and practices that involve understanding problems and their solutions in ways that a computer could execute.
Learn more in: Fostering Computational Thinking and Creativity in Early Childhood Education: Play-Learn-Construct-Program-Collaborate
44.
The ability to identify a challenge, break it down to constituent parts, and structure some possible solutions through pattern recognition, abstraction, and algorithm design.
Learn more in: “Computational Thinking” From Pre-K to Graduate Studies to Life: A Multi-Channel Inventory of Peer-Shared Learning Resources From the Social Web
45.
An active thought aimed at solving problems of various kinds.
Learn more in: Methodologies for Learning and/or Teaching
46.
A novel problem-solving approach that enhances the interpolation of digital technologies with human ideas.
Learn more in: Computational Thinking: Activities
47.
Thinking
or problem solving systematically like a computer.
Learn more in: The Role of Executive Function and Self-Regulation in the Development of Computational Thinking
48.
Is a set of problem-solving methods that involve expressing problems and their solutions in ways that a computer could execute.
Learn more in: Learning Computational Thinking Development in Young Children With Bee-Bot Educational Robotics
49.
Cognitive tool that uses the fundamental concepts of computer science and programming to solve problems, define systems and understand human behavior.
Learn more in: Acquiring Problem-Solving Skills Through Coding Games in Primary School
50.
The thought processes involved in expressing solutions as
computational
steps or algorithms that can be carried out by a computer.
Learn more in: Using Dr. Scratch as a Formative Feedback Tool to Assess Computational Thinking
51.
Techniques help with the tasks of solving a problem, the problem itself and the ways in which it could be resolved and understood.
Learn more in: Introducing STEAM Through Tinkercad and Arduino
52.
A creative way of
thinking
that empowers children to be systematic problem solvers, enabling them to identify problems and then brainstorm and generate step-by-step solutions that can be communicated and followed by computers or humans.
Learn more in: Developing Preschoolers' Computational Thinking Skills Through Digital Gameplay
53.
Techniques applied by humans to express themselves by designing and constructing computation.
Learn more in: From Computational Thinking to Computational Doing
54.
A novel problem-solving approach that enhances the interpolation of digital technologies with human ideas.
Learn more in: The Contribution of Open Educational Robotics Competition to Support STEM Education and the Development of Computational Thinking Skills
55.
Uses the terminology of computer systems (algorithms, iterations, etc.) to express the skill of conceptualizing a problem, developing a solution, and testing and refining the solution ( Wing, 2006 ).
Computational thinking
refers to a cognitive skillset and does not necessarily require computers or any other technology.
Learn more in: Effective Integration of Technology in Inquiry Learning: Themes and Examples
56.
A term to describe a set of skills or analytical methods that involve human and machine elements to solve problems. These skills usually include problem decomposition, generalization, algorithmic
thinking
, evaluation, and abstraction.
Learn more in: Measuring the Impact on Student's Computational Thinking Skills Through STEM and Educational Robotics Project Implementation
57.
Computational thinking
is a set of problem-solving skills for developing solutions. The seminal essay by Jeannette Wing ( https://datascience.columbia.edu/director-jeannette-wing AU44: The URL https://datascience.columbia.edu/director-jeannette-wing has been redirected to https://www.datascience.columbia.edu/director-jeannette-wing. Please verify the URL. ) brought awareness of the importance of
computational thinking
in education.
Learn more in: Educational Robotics for Creating Effective Computer Science Learning for All
58.
According to Wing (2011, para. 1), “
Computational thinking
is the thought processes involved in formulating problems and their solutions so that the solutions are represented in a form that can be effectively carried out by an information-processing agent.”.
Learn more in: Online Scratch Programming With Compulsory School Children During COVID-19 Lockdown: An Italian Case Study
59.
Capability of understanding digital technology framework to solve problems and generate new opportunities as a result of human creativity combined with the reliability of the machines.
Learn more in: Digital Inclusion and Computational Thinking: New Challenges and Opportunities for Media Professionals
60.
A set of problem-solving methods and practices that involve confronting problems and finding solutions in ways that a computer would also execute. The characteristics that define
computational thinking
are decomposition (taking a complex problem and breaking it down into a series of small, more manageable problems), pattern recognition/ data representation (detecting arrangements of characteristics or data that yield information about a given system or data set), generalization/abstraction, (formulating general concepts from specific instances by abstracting common properties), and algorithms (a process or set of rules to be followed in calculations or other problem-solving operations or for accomplishing a task).
Learn more in: Enlivening a Young Adult Novel on Instagram: Fostering Reading for Pleasure and Interest in Local History
61.
It involves solving problems by employing concepts fundamental to computer science.
Learn more in: Learning With Games and Digital Stories in Visual Programming
62.
allows students to think recursively, decompose a problem into discrete, finite parts, and develop creative solutions in a series of logical steps (i.e., algorithms).
Learn more in: Integrating Computational Thinking and Mathematics: A Case Study on Four K-8 STEAM Programs in Ontario, Canada
63.
A set of problem-solving skills, methods, and practices that involve understanding problems and their solutions in ways that a computer could execute.
Learn more in: Robotics as a Powerful Vehicle Toward Learning and Computational Thinking in Secondary Education of 21st Century
64.
Can broadly defined as an approach to planning, problem solving, and creating in a way that enables the use of automating solutions through modelling and algorithmic
thinking
so that the solutions could be operationalized with a computer.
Learn more in: Educational Robotics Between Coding and Engineering Education
65.
Is a set of problem-solving methods that involve expressing problems and their solutions in ways that a computer could execute.
Learn more in: A Review of Educational Games for Teaching Programming to Primary School Students
66.
Cognitive process that allows the generation of solutions to problems through the use of specific skills, such as abstraction, decomposition, generalization, evaluation, and algorithmic design.
Learn more in: Personalized Education for a Programming Course in Higher Education
67.
A term first used by Jeanette Wing (2006) to make reference to specific skills and activities that are strongly related to the work of Computer Scientists, such as abstraction, separation of concerns, performance analysis and construction of models.
Computational Thinking
skills are often associated to the teaching of Computer Science principles to students that are not necessarily pursuing technology-oriented careers.
Learn more in: Computational Thinking and Mathematics: Possible Relationships Revealed by an Analysis of National Curriculum Guidelines
68.
This refers to the process of solving problems, designing systems, and understanding human behavior that draw on the fundamental concepts of computer science.
Learn more in: Behavioral Innovations in Computer Science and Computational Thinking in P-16 Education
69.
A fundamental skill-set that enables problem solving via abstraction, algorithm development, system design and data processing to create
computational
tools that would automate solving the problem.
Learn more in: A Novel Strategy to Improve STEM Education: The E-Science Approach
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