Curriculum

CTL1602 week2 Presentation

Knowing machine learning for 30 minutes

- Use Teachable Machine to train a computer to recognize objects.

Paul Pu

Learning Goals:

  • Demonstrate how learning management systems work. 

  • Demonstrate how technology can aid in flipped classroom learning.

  • Demonstrate how technology can aid in project-based learning.

  • Demonstrate how technology can aid in collaborative learning.

Learning Outcomes

  • Familiar with learning management system (MLS) concept 

  • Knowing How to add course content in Moodle

  • Understanding what Machine Learning is and does.

  • Knowing how to use Google Teachable Machine.

  • Knowing how Teachable Machine can serve you and your community 


Pedagogical Approaches 

  • Collaborative learning

  • Project-based learning

  • Flipped classroom

Instructional strategy:

  • Instruction content will be preloaded in Moodle. Students have chance to complete readings at home. Demonstrate how technology can aid in flipped classroom learning.

  • Tiny Sorter-A experiment connecting Arduino + Teachable Machine will be brought to class. Students have a chance to train a model. Demonstrate how technology can aid in project-based learning.

  • Each student group will have a chance to create a chatroom in Moodle and then discuss in their chatroom.  Demonstrate how technology can aid in collaborative learning.


Resources: 

  • Google Teachable Machine 

https://experiments.withgoogle.com/teachable-machine

  • Learning Management System (LMS)

https://www.g2.com/categories/learning-management-system-lms?utf8=%E2%9C%93&selected_view=grid#grid

  • Welcome to the Moodle community

https://moodle.org/

  • How to add course content in Moodle

https://docs.moodle.org/401/en/Add_course_content



最后修改: 2023年01月23日 星期一 07:47