The UMP STEM Lab conducted a Training-the-Trainer (TTT) program for 2024 mentors, with the aimed to provide mentors with the knowledge and skills necessary to effectively incorporate the UMP STEM Cube, MicroPython programming, circuit construction, and data collection techniques into their mentoring activities. The program was designed to empower mentors with hands-on experience, ensuring they could confidently guide students through the exciting realm of STEM education.
The objectives of the program are as follows:-
- Introduction to UMP STEM Cube:
- Familiarize mentors with the UMP STEM Cube, emphasizing its design, purpose, and potential applications.
- MicroPython Basics:
- Provide mentors with foundational knowledge of MicroPython, covering syntax, data types, and control structures.
Circuit Construction Skills: - Equip mentors with practical skills for constructing basic circuits using components from the UMP STEM Cube kit.
Data Collection with Raspberry Pi: - Introduce mentors to data collection techniques using sensors connected to a Raspberry Pi, emphasizing integration with the UMP STEM Cube.
Activities:
- Provide mentors with foundational knowledge of MicroPython, covering syntax, data types, and control structures.
The session began with an overview presentation on the UMP STEM Cube, highlighting its role in STEM education. Mentors engaged in hands-on exploration of the physical components of the Cube, gaining insights into its functionalities. A comprehensive MicroPython workshop covered essential concepts, syntax, and control structures. Mentors participated in practical exercises, reinforcing their understanding of MicroPython programming through script writing and variable assignments.
In a dedicated lab session, mentors constructed basic circuits using components provided in the UMP STEM Cube kit. The hands-on activities allowed mentors to develop confidence in circuit construction, and they were provided with guidance to troubleshoot common issues. A live demonstration showcased connecting sensors to the UMP STEM Cube via a Raspberry Pi using MicroPython. Practical exercises allowed mentors to collect and analyze data, ensuring they could apply these skills in a mentoring setting.
Towards the end of the session mentors actively engaged in discussions about potential applications and benefits of the UMP STEM Cube in educational settings. Brainstorming sessions encouraged mentors to explore creative ways to integrate the Cube into their mentoring activities.
The discussion focused on practical applications of MicroPython in STEM education. Mentors collaboratively explored potential projects and activities that could be led with students using MicroPython programming. An open discussion allowed mentors to share experiences and challenges faced during the circuit construction session. Collaborative troubleshooting and the sharing of best practices contributed to a collective understanding of effective circuit construction teaching strategies.
The session concluded with brainstorming ideas for integrating the UMP STEM Cube, MicroPython, and sensor data into future mentorship activities. Mentors shared insights on how they planned to incorporate these technologies into their teaching strategies.
The UMP STEM Lab TTT for 2024 Mentorship program successfully achieved its objectives of introducing mentors to the UMP STEM Cube, imparting MicroPython programming skills, enhancing circuit construction abilities, and enabling mentors to collect and analyze data using sensors and Raspberry Pi. The program fostered a community of mentors well-equipped to inspire and guide students in the realms of STEM education. The hands-on and collaborative nature of the training ensured that mentors could confidently implement their newfound knowledge in real-world mentoring scenarios. The TTT program serves as a foundation for mentors to lead the next generation of STEM enthusiasts with enthusiasm and expertise.