Robocon (UQD 2011) - 1920 II - updated on February 26th, 2020
UMP SyllabusThis course introduces students to basic robotics, rooting from the concepts and knowledge in science, technology, engineering and mathematics (STEM). Students will be exposed to the open-source programming and robotics as well as coaching techniques in STEM Education. Throughout the course, students will be assigned to mentor school children in developing electronics projects, including robotics, drones and internet of things (IoT).
Learning Outcomes
1 - Cultivate attitude towards team working and professional ethics through mentoring sessions.
2 - Demonstrate competency in application of technical aspect of Science, Technology, Engineering and Mathematics (STEM) concepts.
3 - Design, construct and innovate STEM based projects.
Lecture Plan
1. Course Introduction
2. Background concept - Computational Thinking notes
3. Background concept - Arduino Programming notes
4. Background concept - Robotics notes
5. Mentoring Skills notes
6. Instructional planning Iplan1 Iplan2 Iplan3
7. STEM Engagement Rep1 Rep 2 Rep3
Marks Distributions
1. Teaching plan = 20 %
2. Coaching - STEM Engagement = 40 % : Instructional plan (15 %) School Engagement (25%)
3. Project - STEM Engagement = 40 % : Line following robot (15 %) Report (25%)
Engagement Schedule
Date/
LocationFeb 29th - Mar 1st March 7th - 8th March 14th - 15th March 21st - 22nd March 28th - 29 April 4th - 5th April 11th - 12th UMP STEM LAB Slot 1 Slot 2 Slot 3 Slot 4 Slot 5 Slot 6 Slot 13 Signal & Systems Lab Slot 7 Slot 8 Slot 9 Slot 10 Slot 11 Slot 12
Text Book
1. Jo Anne Vasquez & Michael Comer: STEM Lesson Essentials, Grades 3-8 : Integrating Science, Technology, Engineering, and Mathematics, Heinemann USA, ISBN13 9780325043586, 2013
2. Richard M. Felder & Rebecca Brent: Teaching and Learning STEM : A Practical Guide, John Wiley & Sons Inc , ISBN13 9781118925812, 2016
3. Christine M. Cunningham & Richard A. Duschl: Engineering in Elementary STEM Education: Curriculum Design, Instruction, Learning, and Assessment, 2017
4. Heidi Williams. No Fear Coding: Computational Thinking Across the K-5 Curriculum, ISBN-13: 978-1564843876, International Society for Technology in Education, 2017
5. Jane Krauss & Kiki Prottsman, Computational Thinking and Coding for Every Student: The Teacher’s Getting-Started Guide, ISBN-13: 978-1506341286, Corwin, 2016
6. Stephanie Sammartino McPherson, Artificial Intelligence: Building Smarter Machines, ISBN-13:9781512418262, Twenty-First Century Books (CT)