Tag: STEM Outreach
MDEC 2024 Call For Proposal
Research in Computer Education – Raspberry Pi Foundation
A very interesting seminars on computer science education researches. Brilliant speakers and works!
- AI Tools in Programming Classes
- Programming Design Concept K-5
- Conceptual Transfer in Programming Language
- Data Literacy
- Assessing ScratchJr projects of young learners
- Computing Research Playlist
Raspberry Pi Foundation Research Seminar – April
An interesting sharing by Prof Brett Becke on Teaching Programming (with or without AI).









UMP STEM Lab Mentors
Discussion Young Innovator Challenge 2024 PreDiscussion
Arduino Robotics 2024/1 – TTT Mentor Training
*UMP STEM Lab Arduino Robotics Programming Synopsis can be found here.
The Arduino robotics programming session focused on introducing 30 students, from the Faculty of Electrical and Electronics Engineering UMPSA, to the fundamentals of coding and robotics using Arduino microcontrollers. The content covered basic coding concepts and gradually progressed to advanced topics such as line following algorithms. Through hands-on exercises and projects, students gained practical experience in programming Arduino boards to control a miniature 2-wheel robotic systems. The session successfully engaged students in interactive learning activities, fostering their understanding of robotics principles and enhancing their coding skills.
A special appreciation is extended to the faculty for their exceptional coordination in facilitating communication between the participants and the UMP STEM Lab.
Raspberry Pi Programming 2024/1 – TTT Mentor Training
*UMP STEM Lab Raspberry Pi Programming Synopsis can be found here.
In the Raspberry Pi IoT session, 33 students from the Faculty of Electrical and Electronics Engineering UMPSA were introduced to the concept of the Internet of Things (IoT) using Raspberry Pi on the UMP STEM Cube, a pico-satellite learning kit specifically designed to facilitate engineering learning.
The content covered basic digital input/output operations on onboard LEDs, as well as topics such as dashboard design using gyrometer and BMU280 sensor data, including collecting and storing data in a cloud database. Students learned to interface sensors with Raspberry Pi boards and develop IoT applications for real-world scenarios. The session provided students with valuable insights into IoT technology and its applications in various domains.
A special appreciation is extended to the faculty for their exceptional coordination in facilitating communication between the participants and the UMP STEM Lab.