Coding & Robotics Teacher

Key Responsibilities:

1. Deliver engaging and interactive computer science lessons to students of various

grade levels.

2. Foster a deep understanding of core computer science concepts, including

programming languages, data structures, algorithms, and computational thinking.

3. Guide students in hands-on learning experiences through coding exercises, projects,

and robotics activities.

4. Develop and implement engaging and effective lesson plans that align with curriculum

standards.

5. Assess student learning through a variety of methods, including quizzes, exams,

projects, and observations.

6. Provide individualized support to students who require extra assistance, including

tutoring and differentiated instruction.

7. Integrate technology effectively into the classroom, utilizing a variety of software,

hardware, and online resources.

8. Stay current on the latest advancements in computer science education and

incorporate innovative teaching methodologies.

9. Collaborate with colleagues to develop and implement a comprehensive computer

science curriculum.

10. Maintain open communication with parents and guardians regarding student

progress.

11. Participate in professional development opportunities to enhance teaching skills and

knowledge.

Required Skills and Qualifications:

1. Bachelor's or Master's degree in Computer Science, Computer Engineering, or a

closely related field.

2. Teaching certification and relevant state licensure (if applicable).

3. Strong knowledge of Python (including modules like Turtle, Tkinter, Pygame, Toga,

OpenCV), Data Science, and Artificial Intelligence.

4. Experience in teaching computer science at the secondary school level (preferred).

5. Excellent communication, interpersonal, and classroom management skills.

6. Passion for inspiring and engaging students in STEM fields.

7. Ability to effectively use technology in the classroom.

8. Strong organizational and time-management skills.

9. Commitment to professional growth and continuous learning.