I hold a first-class degree in Mechatronics Engineering and am currently pursuing an MSc in AI and Robotics at the Uni

1. Assess Student Needs: Understand each student's current knowledge, learning style, and goals. This helps tailor your approach to maximize their understanding and progress. 2. Clear Conceptual Understanding: Begin with foundational concepts and ensure students grasp them thoroughly before moving to more complex topics. Use real-world examples and practical applications where possible. 3. Interactive Learning: Engage students actively through discussions, problem-solving exercises, and hands-on demonstrations. This approach fosters deeper understanding and retention. 4. Adaptability: Adjust your teaching style based on student feedback and progress. Some may benefit from visual aids, others from detailed explanations or simulations. 5. Encourage Critical Thinking: Rather than just providing answers, encourage students to think critically and solve problems independently. This prepares them for challenges beyond the classroom. 6. Use of Technology: Given your expertise in AI and robotics, integrate relevant technologies and tools into your teaching. This could include simulation software, programming environments, or online resources. 7. Feedback and Assessment: Provide constructive feedback regularly to track progress and identify areas needing improvement. Use assessments that measure both knowledge and practical skills. 8. Stay Updated: Continuously update your own knowledge in AI, robotics, and teaching methodologies. This ensures you deliver the most relevant and accurate information. 9. Create a Positive Learning Environment: Foster a supportive and encouraging atmosphere where students feel comfortable asking questions and exploring new ideas. 10. Professionalism: Maintain professionalism in all interactions, respect student perspectives, and adhere to academic standards and ethical guidelines.