AI4GA 2023 Professional Development

Cohort 3

AI4GA Summer Professional Learning Workshop (Virtual)

July 17-21, 2023

PD Resources

Digital Agenda (with Links)

Resource Folder

Jamboard 

Overall AI4GA Summer PD Objectives

  • Build trust and relationship between members of the team through collaborative and team building

  • Increase knowledge of Artificial Intelligence (AI)

  • Experience the curriculum as a student but also gain insights from the cohort 1 teachers about how to teach this to your students

  • Increase familiarity and facility with AI tools and resources that can be used in the classroom through concentrated hands-on experiences

  • Increase knowledge and awareness of co-design approach to refine and adapt the curriculum and assessment materials, implementation, pedagogy

Day 1 Technical Objectives

  • I can explain the five big ideas of artificial intelligence to a group of students.

  • I can explain the ways AI is integrated into technologies and services we use everyday

  • I understand the goals of the research project

  • I understand my role as part of the AI4GA team

  • I can write a Scratch program that uses AI.

  • I can identify an autonomous robot and explain how autonomous robots us AI

Day 2 Technical Objectives

 

  • I can describe how self-driving cars work.

  • I can lead a discussion with my students about the societal and ethical issues involved in self-driving cars.

  • I can demonstrate the route finding activity.

  • I can write simple Calypso program that use AI

  • I can demonstrate how to use Calypso to my students for exploration of AI concepts and/or to build AI simulations

Day 3 Technical Objectives

  • I can explain how computers see faces.

  • I believe my students will enjoy completing one or more of the mini-project options

  • I feel comfortable using the Tech Ethics Evaluation Game to help my students evaluate their Moppy Robot or other AI technologies.

  • I feel confident that I can use/modify the Unit 1 curriculum resources to teach my students about self-driving cars and autonomous robots

  • I can describe different kinds of decision computers make (reasoners)

  • I can train a visual classifier

  • I can explain the steps in training and using a classifier

  • The moppy activity provided a good way to tie the modules in Unit 1 together. 

  • The materials in unit 1 provide sufficient amount of hands-on and independent student work

  • The materials in Unit 1 align well with my teaching style and students expectations for a middle school elective.

Day 4 Technical Objectives

 

  • I can build a decision tree and explain how it works

  • I can construct a feature space for describing a dataset

  • I can use a machine learning tool to construct and evaluate a decision tree

  • I can use a machine learning tool to make classifications and predictions and measure their accuracy

  • I can describe the details of models I created using a model card.

  • I can explain the structure of neural networks and how they learn

Day 5 Technical Objectives

 

  • I can explain artificial intelligence to a group of students.

  • I can explain how computers understand speech.

  • I can lead a discussion with my students about the societal and ethical issues involved in automated decision making

  • I feel confident that I can use/modify the Unit 3 curriculum resources to teach my students about machine learning and automated decision making

  • I believe my students will enjoy completing one or more of the mini-project options for Unit 3

  • I feel confident that I can teach the AI4GA curriculum when the school year starts

  • The moppy activity provided a good way to tie the modules in Unit 3 together. 

  • The materials in unit 3 provide sufficient amount of hands-on and independent student work

  • The materials in Unit 3 align well with my teaching style and students expectations for a middle school elective.