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23/07/2024

Teaching Machine Learning and AI is HARD

You are expected to:

- Be an expert in advanced mathematics
- Have a PhD in computer science
- Possess decades of industry experience

But it's actually really simple:

- Start with fundamental concepts such as supervised and unsupervised learning and build up gradually.

- Employ strategic tactics like interactive simulations in explaining these concepts to your students.

- Leverage online resources and communities for learning and support. The r/MachineLearning is a good place to start.

- Apply real-world problems to practice and reinforce learning in your students. Check

platform for some practice problems.

Teaching Machine Learning and AI isn’t hard, but we’ve been conditioned to think it is.

"The mind once stretched by a new idea never returns to its original dimensions." – Oliver Wendell Holmes Sr.

What strategies have you found helpful in teaching or learning AI and Machine Learning? Share your experiences in the comments!

17/07/2024

There is a rising issue around how introductory computer science topics are been taught in the classroom.

Here is a list of CS introductory topics that students should have a strong foundation on:

1. Introduction to Algorithms.

2. Data Structures.

3. Object-Oriented Programming.

4. Foundations of Artificial Intelligence.

5. Databases.

6. Introduction to Web Development.

7. Basics of Programming.

15/07/2024

Teaching OOP in JS can be daunting due to lack of effective approach.

Explore the most effective method to teach OOP and keep students engaged.

1. Teach the basics: Discuss topics such as classes, encapsulation, inheritance, and polymorphism. Use simple explanation to clarify each concept.

2. Use real-world analogies: Relate these concepts to real-world examples. Explain classes as blueprints and objects as instance of that blueprints.

3. Deep dive into classes and objects: Show how to create classes and instantiate objects. Make example like creating a Car class with properties make and model. Explain constructors and provide hands-on exercise.

4. Step-by-step projects: Create projects where students can make incorporate concepts of OOP. It could be a simple to-do list app.

5. Deep dive into inheritance: Explain how inheritance can be used to extend a class. Introduce the functions of keywords associated with inheritance.

6. Practice Encapsulation: Teach students how to use private and public properties and methods to control access to data within objects. Emphasize the importance of data hiding and security. Show how to implement getters and setters in JavaScript and discuss their benefits.

7. Polymorphism in Action: Demonstrate polymorphism by creating methods in the parent class that can be overridden in child classes. Show how this allows for flexibility and dynamic behaviour in code. Use examples like a draw method in a Shape class that is overridden in Circle and Square subclasses.

8. Encourage Peer Reviews: Implement peer review sessions where students review and provide feedback on each other's OOP code. This fosters collaboration and deeper understanding of concepts. Create a supportive environment where constructive criticism is encouraged, and learning from peers is emphasized.

9. Continuous Assessment: Use quizzes, coding challenges, and mini-projects to continuously assess students' understanding of OOP concepts. Provide constructive feedback to guide their learning journey. Track progress and address any gaps in knowledge promptly to ensure all students keep up.

Let's shape a responsible future in tech education!

We are Gradehub AI and we help instructors save time in conducting and grading coding assignments with AI.

If you found this post helpful, please like, retweet and follow us for more content on CS education.

14/07/2024

Teaching JavaScript can be difficult due to unavailability of teaching resources.

Explore this list of JavaScript resources that can make your job easier and better.

1. MDN Web Docs (https: //developer.mozilla.org/en-US/docs/Web/JavaScript) - This resource can serve as reference, especially for complex topics.

2. freeCodeCamp (https: //www.freecodecamp.org/learn/javascript-algorithms-and-data-structures/) - Exercise from FreeCodeCamp can be added to your teaching curriculum to give students coding experience.

3. Eloquent JavaScript (https: //eloquentjavascript.net/) - The chapters from this book can serve as additional reading material to students.

4. JavaScript. info (JavaScript. info) - This tutorial structure can serve as a step-by-step teaching approach.

5. Khan Academy (https: //www.khanacademy.org/computing/computer-programming/programming) - This can be used as supplementary material to reinforce concept taught in class.

12/07/2024

Are you looking for good resources to teach Python Programming language?

Here are top resources for teaching Python programming language.

- Official Python Website (http://Python.org) - This is the official python website. It contains comprehensive documentation and beginner guides to the language.

- Real Python (https://realpython.com) - This is excellent for both beginners and experts. It contains tutorials and articles that can serve as external resource and additional reading to students.

- Automate the Boring Stuff with Python (https://lnkd.in/gz2UUa7) - This is a practical book for learning python. It contains everything you need to learn and practice python.

- Learn Python (https://learnpython.org) - This is an interactive python tutorial that is intended for everyone. It offers a certificate after completing the tutorials.

- Google's Python Class (https://lnkd.in/gdt6sAi) - This is a free class for people with a little bit of programming experience who want to learn Python. The class includes written materials, lecture videos, and lots of code exercises to practice

11/07/2024

Looking for effective ways to engage your students through effective assessment?

Here is a curated list of things you could do to implement innovative assessment techniques in your classroom

- Project-Based Assessments: Instead of traditional exams, assign real-world projects that require students to apply their knowledge. This not only assesses their skills but also prepares them for real-life scenarios.

- Automated Code Grading: Use tools that automatically grade coding assignments based on predefined criteria. This saves time and provides instant feedback to students, helping them learn and improve faster.

- Coding Competitions: Organize coding competitions or hackathons. These events foster a competitive spirit, encourage creativity, and allow students to showcase their problem-solving skills.

- Peer Reviews: Encourage students to review each other’s code. This promotes collaboration, critical thinking, and provides valuable feedback from multiple perspectives.

- Formative Assessments: Conduct regular, low-stakes assessments to monitor student progress. These can be quizzes, in-class activities, or short coding tasks that provide immediate feedback and guide future instruction.

Let's shape a responsible future in tech education!

We are Gradehub AI and we help instructors save time in conducting and grading coding assignments with AI.

If you found this post helpful, please like, share and follow us for more content on CS education.

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