Pedagogy refers to the methods and approaches used to teach and educate students, so I can definitely provide you with some ideas for teaching 7th, 8th, and 9th grade students. Here are some possible pedagogies that could be effective for these age groups:
- Project-Based Learning (PBL): This is a student-centered pedagogy where students work on a project that involves solving a real-world problem. This approach allows students to apply their knowledge and skills in a practical way, while also developing important skills such as critical thinking, problem-solving, and collaboration.
- Inquiry-Based Learning: In this approach, students are encouraged to ask questions, investigate and explore topics on their own. This approach helps students develop curiosity, critical thinking skills, and a love for learning.
- Flipped Classroom: In a flipped classroom, students watch or read instructional materials at home and then come to class to work on assignments, projects, or discussions. This approach allows for more individualized learning and encourages students to take responsibility for their own learning.
- Cooperative Learning: In cooperative learning, students work in groups to complete tasks or solve problems. This approach helps students develop social skills, communication skills, and teamwork skills.
- Differentiated Instruction: This approach involves tailoring instruction to meet the needs and abilities of individual students. This approach can be particularly helpful for students who have different learning styles or who learn at different paces.
If you say "learn to output," it could be interpreted as a directive to focus on developing the ability to produce or generate desired outcomes, results, or outputs. This could refer to various contexts, such as:
- Academic Learning: Emphasizing the importance of students' ability to effectively express and communicate their knowledge, ideas, and understanding of the subject matter. It could involve developing skills in writing, presenting, or demonstrating understanding through various forms of output.
- Programming and Computer Science: Referring to the process of creating output or results through coding or programming. It emphasizes the skill of designing and implementing algorithms or instructions that produce the desired output or outcome.
- Project-Based Learning: Highlighting the significance of students actively creating tangible outputs or products as a result of their learning. This could involve designing and creating prototypes, models, artwork, reports, or any other tangible or digital outputs that demonstrate their understanding and application of concepts.
- Soft Skills Development: Focusing on cultivating skills related to effective communication, collaboration, and productivity, where the ability to generate meaningful output in terms of ideas, solutions, or work contributes to personal and professional growth.
- Integrating Math and Programming: Many programming concepts are closely related to mathematical concepts, so you can integrate these subjects in your teaching. For example, you can teach algebraic concepts like variables and equations through programming exercises that require students to use those concepts to solve problems.
- Project-Based Learning: You can use project-based learning to teach all three subjects. For example, you can assign a project that requires students to develop a program that solves a math problem, and then have them present their work and reflect on the soft skills they used to complete the project.
- Use Game-Based Learning: Games can be a great way to teach math, programming, and soft skills simultaneously. For example, you can use games that teach coding and math skills, such as CodeCombat, which teaches coding skills through a fantasy-themed game.
- Collaborative Learning: Encouraging students to work together in groups can help them develop important soft skills like teamwork and communication, while also teaching them programming and math skills. For example, you can assign group projects that require students to develop a program that solves a math problem and then have them present their work to the class.
- Use Real-World Examples: Use real-world examples to help students see the relevance of math, programming, and soft skills. For example, you can use examples from fields like finance or engineering to teach mathematical and programming concepts, and then discuss the soft skills required to succeed in those fields.
- Python: Python is an excellent language for beginners, as it has a simple syntax that is easy to learn. It is also a versatile language that can be used for a wide range of applications, from web development to scientific computing.
- Scratch: Scratch is a visual programming language designed for children and beginners. It uses blocks that can be dragged and dropped to create programs, making it easy for students to learn the basics of programming without needing to type out code.
- Java: Java is a popular language used in many industries, including web development, mobile app development, and gaming. It has a more complex syntax than Python or Scratch, but is still accessible for beginners.
- Swift: Swift is a programming language developed by Apple for iOS and macOS development. It has a clean syntax and is easy to learn, making it a good choice for students interested in mobile app development.
In general, "learn to output" suggests an emphasis on the practical application of knowledge, skills, or creativity to produce tangible or meaningful outcomes in various domains of learning.
Teaching math, programming, and soft skills simultaneously to students in grades 7-9 is a great way to provide them with a well-rounded education.
Here are some possible pedagogies and strategies you can use to achieve this:
What differences do you make between "pedagogy" and "strategy" ?
That's a great question!
While the terms "pedagogy" and "strategy" are sometimes used interchangeably, there is a subtle difference between the two.
Pedagogy refers to the philosophy and approach to teaching and learning. It encompasses the overall principles and methods used to guide instruction, such as the use of inquiry-based learning or the focus on student-centered learning. Pedagogy is a broader term that encompasses a range of approaches and practices.
On the other hand, strategy refers to the specific tactics and techniques used to achieve specific learning goals. Strategies may include the use of group work, scaffolding, or problem-based learning. Strategies are more focused on achieving specific learning outcomes within the broader framework of the pedagogy.
In the context of teaching math, programming, and soft skills simultaneously to students in grades 7-9, the pedagogy would be the overall philosophy and approach to teaching, such as integrating math and programming, while strategies would be specific techniques used to achieve learning goals, such as project-based learning or the use of real-world examples.
I hope that clarifies the difference between pedagogy and strategy!
Computational thinking is a problem-solving method that involves breaking down complex problems into smaller, more manageable parts and then developing a solution using a sequence of logical steps. It is a foundational skill for computer science and programming, but it can also be applied to other fields, such as math, science, and engineering. (...)
Jeannette M. Wing is a prominent computer scientist and researcher who is known for her work in the field of computational thinking and computer science education. She currently serves as the Avanessians Director of the Data Science Institute and a professor of computer science at Columbia University. (...) 
Jeannette Wing is often credited with popularizing the term "computational thinking" and bringing the concept to the forefront of computer science education. While computational thinking has been a part of computer science education for several decades, Wing's 2006 paper titled "Computational Thinking"  helped to popularize the concept and establish it as a key skill for students in the digital age. (...)
Yes, computational thinking can be a powerful strategy for teaching math, programming, and soft skills simultaneously to students in grades 7-9. (...)
There are many programming languages that are suitable for teaching programming to students in grades 7-9.
Here are some of the most popular and recommended languages:
Notes (added by Tru)
 Jannette M. Wing
Computational Thinking, Jannette M. Wing,
Carnegie Mellon University, Communications of the Association of
Computing Machinery (CACM), viewpoint, vol. 49, no.3 March 2006. La pensée informatique, adaptation sur le site Interstices.info, 2009
Authors : questions : Tru Do-Khac, responses : OpenAI (ChatGPT).
Date : april 18, 2023
Source : https://openai.com
Mathématiques et programmation au collège : programme Cycle 4, ressources et fondements épistémologiques, Le sens et le goût des maths au collège, mars 2023
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