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Is a way of thinking through the different lenses of science, technology, engineering, and math principles. It allows for deeper understanding of the world, innovation, practice problems, and learning.

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It ensures the everyone has a fair and balanced opportunities to access, use and benefit from the many resources from digital technologies and computational knowledge. It often aims to transform computing tools, culture and companies to be more ethical for all.

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Culturally relevant, responsive, and sustaining computing 

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Culturally relevant, responsive, and sustaining computing 

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Culturally relevant is having the opportunity to create content, teach, and communicate in different ways that incorporates and resonates a person or audiences cultural background. It connects with and has meaning for specific groups belief, values, custom and experiences. Culturally responsive is the practice that recognizes an individuals cultural strength and background. Finally, culturally sustaining computing the study of computing and moving beyond mere responsiveness to activity of cultural diversity within the field of education specifically.

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What is Culturally Responsive and Sustaining Education?

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ISTE standard is considered the framework that outlines the competencies for students, teachers, leaders to effectively use technology to create high-impact and equitable learning experience in the digital age. This includes, empowered learners, digital citizen, knowledge constructor, create communication and global collaboration.

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Design process is a step by step method of how one processes ideas in order to finish a project. By using systemic problem solving, one is able to comprehend discipline that goes far beyond mapping process flows. An example of design process is the activity done in class where students were asked to create a sculpture based on the materials presented to us. Anyone’s project differed emphasizing that design process is different in everyone’s eyes.

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Computers can be used to help us solve problems. However, before a problem can be tackled, the problem itself and the ways in which it could be solved need to be understood.

Computational thinking allows us to do this.

Computational thinking allows us to take a complex problem, understand what the problem is and develop possible solutions. We can then present these solutions in a way that a computer, a human, or both, can understand.

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It refers to the repetitive cycle of prototyping, testing and refining a design to create better results. A set of instructions and codes that certain conditions are met. The concept of fundamental principles in programming, allowing for automation of repetitive tasks and the gradual refinement of results.

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5 Minutes to Code: Programming Basics "Iteration"

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The experimental process of creating a simplified and effective version of a product, system or process to test ideas. Involves building a model of concept to explore its functionally and environmentally experience. It can also be known as designing a mock-up of a product or process award of creating a finalized design.

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Core components of computational thinking 

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Core components of computational thinking 

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decomposition - breaking down a complex problem or system into smaller, more manageable parts

pattern recognition – looking for similarities among and within problems

abstraction – focusing on the important information only, ignoring irrelevant detail

algorithms - developing a step-by-step solution to the problem, or the rules to follow to solve the problem

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Core components of computational thinking

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Computational thinking refers to problem-solving process that involves breaking down a problem into smaller parts that helps students understand what they did easier. Allowing for manageable steps for students to create logical solutions. When it comes to computational thinking, the four core components are decomposition, pattern recognition, abstraction, and algorithms. This components will be farther discussed in different padlet posts.

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Decomposition is the process of breaking down a substance into its constituents or simple terms. In this approach, it helps understand the problem, identifying patterns and developing a step-by-step solution. In so, students are able to analyze each sub-problem individually and setting aside unnecessary information to focus on the core issues.

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The process of focusing on the essential details of a problem. The simplified complex systems by filtering out unnecessary information to focus on the core ideas which allows them to solve problems more effectively and efficiently.

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Digital identity refers to the collection of data and attributes that characterize an individual, organization, or device in a digital world. This collection of data is often made up of information like usernames, passwords, browsing history, purchase history, etc. When it comes to individuals data associated to digital identity is birthdate, government-issued identifiers, email address and biometric date. When it comes to device data, it includes data associated with electronic devices like smartphones, computers, etc. in teaching, digital identity refers to online representation of both students and teachers that build knowledge and learning that provides secure access to resources.

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In computing, intellectual property reeders to the legal rights that protect an individual well being, ideas, software, coding and personalized concepts that secure safety. When it comes to students, it is critical for them to understand how to use copyright materials responsibly, avoid piracy and create their own original work. Whereas when it comes to educators, it involves protecting their own course materials and responsibility exposing students the accurate information.

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Staying safe online - Intellectual Property for teachers

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refers to the practice of taking existing digital artifacts, such as source code, 3D designs, or multimedia content, and modifying and recombining them to create a new product. This practice is common in creative and open-source communities and is considered a valuable method for learning and innovation for students to learn more effectively and freely.

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tinkering refers to a hands-on experimental approach to exploring technology. It involves a friendly investigation, taking things apart, modifying, and creating new ways of Using digital tools to benefit students learning experience. It fosters computational thinking, problem solving, creativity and deepen understanding of hoe technology functions.

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uses software to create digital models of real life systems, processes, and situations that allow students to run experiments and activities that analyze the behavior and outcomes in a safe and cost-efficient manner without physically testing any prototypes. This approach helps students learn and experience how to mimic real world and hypo logical situations.