Return to flip book view

Message C O M P U T A T I O N A LT H I N K I N GBook by SUZAN MOKHARE Computational thinking is a skill that involves solving problemsby breaking them down into smaller manageable pieces. it is away of thimking that is used by everyone in all fields.Computational thinking also refers to a way of thinking thatincludes basic skills such as counting, critical thinking and beingable to work with numbers. It is one of the skills that learnersshould be taught along with thier subjects, especially youngerchildren (Grover & Pea, 2013). Pattern recognition isthe ability to identifypatterns that are withina task. with identifyingthese patterns, one maybe able to see thesimilarities anddifferences amongstthem and be able todevelop effectivesolutions to theproblem. patternrecognition is importantbecuase it helpsindividuals to find waysof solving commonissues and differencesof a task (Yadav et al,2016).Algorithms are thesteps or methods thatone uses when solving abig task. It also involvesbreaking down the taskinto small parts so thatthe steps may befollowed in the correctorder, for the task to besolved effectively.Algorithms helps withsolving big tasks in amore manageable way(Yadav et al, 2016).3. Pattern recognition4.Algorithms Computational thinking helps students to break downdifficult topics into smaller pieces, fot them to be able tounderstand.Computational thinking can foster creativtiy among thestudents when solving problems through the last pillar,algorithims.Computational thinking encourages group work amongststudents as pillars such as algorithms are more effectivewhen people work together.It encourages critical thinking amongst students. Studentsare required to think critically on how to break the task intopieces that are easier to manage.Computational thinking helps students to prepare for real-world experince.

C O M P U T A T I O N A LT H I N K I N GBook by SUZAN MOKHARE Computational thinking is a skill that involves solving problemsby breaking them down into smaller manageable pieces. it is away of thimking that is used by everyone in all fields.Computational thinking also refers to a way of thinking thatincludes basic skills such as counting, critical thinking and beingable to work with numbers. It is one of the skills that learnersshould be taught along with thier subjects, especially youngerchildren (Grover & Pea, 2013). Pattern recognition isthe ability to identifypatterns that are withina task. with identifyingthese patterns, one maybe able to see thesimilarities anddifferences amongstthem and be able todevelop effectivesolutions to theproblem. patternrecognition is importantbecuase it helpsindividuals to find waysof solving commonissues and differencesof a task (Yadav et al,2016).Algorithms are thesteps or methods thatone uses when solving abig task. It also involvesbreaking down the taskinto small parts so thatthe steps may befollowed in the correctorder, for the task to besolved effectively.Algorithms helps withsolving big tasks in amore manageable way(Yadav et al, 2016).3. Pattern recognition4.Algorithms Computational thinking helps students to break downdifficult topics into smaller pieces, fot them to be able tounderstand.Computational thinking can foster creativtiy among thestudents when solving problems through the last pillar,algorithims.Computational thinking encourages group work amongststudents as pillars such as algorithms are more effectivewhen people work together.It encourages critical thinking amongst students. Studentsare required to think critically on how to break the task intopieces that are easier to manage.Computational thinking helps students to prepare for real-world experince.

C O M P U T A T I O N A LT H I N K I N GBook by SUZAN MOKHARE Computational thinking is a skill that involves solving problemsby breaking them down into smaller manageable pieces. it is away of thimking that is used by everyone in all fields.Computational thinking also refers to a way of thinking thatincludes basic skills such as counting, critical thinking and beingable to work with numbers. It is one of the skills that learnersshould be taught along with thier subjects, especially youngerchildren (Grover & Pea, 2013). Pattern recognition isthe ability to identifypatterns that are withina task. with identifyingthese patterns, one maybe able to see thesimilarities anddifferences amongstthem and be able todevelop effectivesolutions to theproblem. patternrecognition is importantbecuase it helpsindividuals to find waysof solving commonissues and differencesof a task (Yadav et al,2016).Algorithms are thesteps or methods thatone uses when solving abig task. It also involvesbreaking down the taskinto small parts so thatthe steps may befollowed in the correctorder, for the task to besolved effectively.Algorithms helps withsolving big tasks in amore manageable way(Yadav et al, 2016).3. Pattern recognition4.Algorithms Computational thinking helps students to break downdifficult topics into smaller pieces, fot them to be able tounderstand.Computational thinking can foster creativtiy among thestudents when solving problems through the last pillar,algorithims.Computational thinking encourages group work amongststudents as pillars such as algorithms are more effectivewhen people work together.It encourages critical thinking amongst students. Studentsare required to think critically on how to break the task intopieces that are easier to manage.Computational thinking helps students to prepare for real-world experince.

Definition of computational thinkinhgBenefits of Computational thinking atschoolPillars of Computational thinkingReferencesVideo263-475CONTENTS Decomposition is themethod of splitting abigger problem or taksinto small pieces thatare easy to manage. Bysplitting the probleminto pieces, one can beable to analyse eachpart separately and beable to see therelationship betweenthe different parts.Decomposition makesdifficult tasks to bemanageable easier andbe able to providesolutions (Barr &Stephenson, 2011).Abstraction is themethod of looking atimportant parts of atask first andaddressing leastimportant parts later orignoring them. Withabstraction, one is ableto have a simple modelof the task they aresupposed to solve andleave out leastimportant features. Thishelps with providingsolutions more easier(Barr & Stephenson,2011).2. Abstraction1.DecompositionPillars of Computationalthinking 06Video related to the four pillars ofCT REFERENCESBarr, V., & Stephenson, C. (2011). Bringing computationalthinking to K-12: What is involved and what is the role of thecomputer science education community?. ACM inroads, 2(1),48-54.Grover, S., & Pea, R. (2013). Computational Thinking in K–12.Educational Researcher, 42(1), 38–43.https://doi.org/10.3102/0013189x12463051Yadav, A., Hong, H., & Stephenson, C. (2016). Computationalthinking for all: Pedagogical approaches to embedding 21stcentury problem solving in K-12 classrooms. TechTrends, 60,565-568.

Definition of computational thinkinhgBenefits of Computational thinking atschoolPillars of Computational thinkingReferencesVideo263-475CONTENTS Decomposition is themethod of splitting abigger problem or taksinto small pieces thatare easy to manage. Bysplitting the probleminto pieces, one can beable to analyse eachpart separately and beable to see therelationship betweenthe different parts.Decomposition makesdifficult tasks to bemanageable easier andbe able to providesolutions (Barr &Stephenson, 2011).Abstraction is themethod of looking atimportant parts of atask first andaddressing leastimportant parts later orignoring them. Withabstraction, one is ableto have a simple modelof the task they aresupposed to solve andleave out leastimportant features. Thishelps with providingsolutions more easier(Barr & Stephenson,2011).2. Abstraction1.DecompositionPillars of Computationalthinking 06Video related to the four pillars ofCT REFERENCESBarr, V., & Stephenson, C. (2011). Bringing computationalthinking to K-12: What is involved and what is the role of thecomputer science education community?. ACM inroads, 2(1),48-54.Grover, S., & Pea, R. (2013). Computational Thinking in K–12.Educational Researcher, 42(1), 38–43.https://doi.org/10.3102/0013189x12463051Yadav, A., Hong, H., & Stephenson, C. (2016). Computationalthinking for all: Pedagogical approaches to embedding 21stcentury problem solving in K-12 classrooms. TechTrends, 60,565-568.

Definition of computational thinkinhgBenefits of Computational thinking atschoolPillars of Computational thinkingReferencesVideo263-475CONTENTS Decomposition is themethod of splitting abigger problem or taksinto small pieces thatare easy to manage. Bysplitting the probleminto pieces, one can beable to analyse eachpart separately and beable to see therelationship betweenthe different parts.Decomposition makesdifficult tasks to bemanageable easier andbe able to providesolutions (Barr &Stephenson, 2011).Abstraction is themethod of looking atimportant parts of atask first andaddressing leastimportant parts later orignoring them. Withabstraction, one is ableto have a simple modelof the task they aresupposed to solve andleave out leastimportant features. Thishelps with providingsolutions more easier(Barr & Stephenson,2011).2. Abstraction1.DecompositionPillars of Computationalthinking 06Video related to the four pillars ofCT REFERENCESBarr, V., & Stephenson, C. (2011). Bringing computationalthinking to K-12: What is involved and what is the role of thecomputer science education community?. ACM inroads, 2(1),48-54.Grover, S., & Pea, R. (2013). Computational Thinking in K–12.Educational Researcher, 42(1), 38–43.https://doi.org/10.3102/0013189x12463051Yadav, A., Hong, H., & Stephenson, C. (2016). Computationalthinking for all: Pedagogical approaches to embedding 21stcentury problem solving in K-12 classrooms. TechTrends, 60,565-568.

Definition of computational thinkinhgBenefits of Computational thinking atschoolPillars of Computational thinkingReferencesVideo263-475CONTENTS Decomposition is themethod of splitting abigger problem or taksinto small pieces thatare easy to manage. Bysplitting the probleminto pieces, one can beable to analyse eachpart separately and beable to see therelationship betweenthe different parts.Decomposition makesdifficult tasks to bemanageable easier andbe able to providesolutions (Barr &Stephenson, 2011).Abstraction is themethod of looking atimportant parts of atask first andaddressing leastimportant parts later orignoring them. Withabstraction, one is ableto have a simple modelof the task they aresupposed to solve andleave out leastimportant features. Thishelps with providingsolutions more easier(Barr & Stephenson,2011).2. Abstraction1.DecompositionPillars of Computationalthinking 06Video related to the four pillars ofCT REFERENCESBarr, V., & Stephenson, C. (2011). Bringing computationalthinking to K-12: What is involved and what is the role of thecomputer science education community?. ACM inroads, 2(1),48-54.Grover, S., & Pea, R. (2013). Computational Thinking in K–12.Educational Researcher, 42(1), 38–43.https://doi.org/10.3102/0013189x12463051Yadav, A., Hong, H., & Stephenson, C. (2016). Computationalthinking for all: Pedagogical approaches to embedding 21stcentury problem solving in K-12 classrooms. TechTrends, 60,565-568.

C O M P U T A T I O N A LT H I N K I N GBook by SUZAN MOKHARE Computational thinking is a skill that involves solving problemsby breaking them down into smaller manageable pieces. it is away of thimking that is used by everyone in all fields.Computational thinking also refers to a way of thinking thatincludes basic skills such as counting, critical thinking and beingable to work with numbers. It is one of the skills that learnersshould be taught along with thier subjects, especially youngerchildren (Grover & Pea, 2013). Pattern recognition isthe ability to identifypatterns that are withina task. with identifyingthese patterns, one maybe able to see thesimilarities anddifferences amongstthem and be able todevelop effectivesolutions to theproblem. patternrecognition is importantbecuase it helpsindividuals to find waysof solving commonissues and differencesof a task (Yadav et al,2016).Algorithms are thesteps or methods thatone uses when solving abig task. It also involvesbreaking down the taskinto small parts so thatthe steps may befollowed in the correctorder, for the task to besolved effectively.Algorithms helps withsolving big tasks in amore manageable way(Yadav et al, 2016).3. Pattern recognition4.Algorithms Computational thinking helps students to break downdifficult topics into smaller pieces, fot them to be able tounderstand.Computational thinking can foster creativtiy among thestudents when solving problems through the last pillar,algorithims.Computational thinking encourages group work amongststudents as pillars such as algorithms are more effectivewhen people work together.It encourages critical thinking amongst students. Studentsare required to think critically on how to break the task intopieces that are easier to manage.Computational thinking helps students to prepare for real-world experince.