Workshop Agenda

Artificial Intelligence Workshop

Strategies to Train and Engage StudentS | july 20 – 24, 2020 | all online

Zoom Link: TBA | Meeting ID: TBA | Password: TBA

Objective: Share knowledge on AI and develop methods to teach AI

Schedule at a Glance

July 20, 2020

July 21, 2020

July 22, 2020

July 23, 2020

July 24, 2020

Keynotes

AI short tour

AI POGIL Demo

AI Programming

Three hours of small group hands on workshop on AI and teaching methods

Three hours of small group hands on workshop on AI and teaching methods

Three hours of small group hands on workshop on AI and teaching methods

Keynote

Panel Discussion

Town Hall

Group Presentations

 

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DETAILED AGENDA

Day One - Monday July 20th

Time

Activities

08:45 – 09:30

Online check in via Zoom, welcoming comments, workshop overview

09:30 – 09:45

Break (10-15 mins)

09:45 – 10:45

Keynote and Q&A by Kathleen Featheringham, Booz Allen Inc.

10:45 – 11:00

Break (10-15 mins)

11:00 – 12:00

Keynote and Q&A by Emily Hand, University of Nevada

12:00 – 13:00

Lunch break (1 hour)

13:00 – 13:30

A very short tour AI: history, current methods, terminology and future

13:30 – 13:45

Break (10-15 mins)

13:45 – 14:15

Demonstration of AI-POGIL by students

14:15 – 14:30

Break (10-15 mins)

14:30 – 14:45

Reminders and logistics

14:45 – 15:15

Demonstration of Google Collaboratory and AI programming

Flexible start time

Read articles and book chapters which will be given to participants. This is a self-paced activity which may take 2 – 3 hours of time.

 

Day Two - Tuesday July 21st

Time

Activities

09:45 – 10:00

Online check in via Zoom assigned to group, preliminary discussions

10:00 – 13:00

Three hours of hands-on training on AI topic: Regression & Teaching Methods.

Flexible break times to be decided by group and facilitator.

Group 1 (Facilitator: Sambit Bhattacharya)

Group 2 (Facilitator: Denny Czejdo)

Group 3 (Facilitator: Valentin Milanov)

Day Three - Wednesday July 22nd

Time

Activities

09:45 – 10:00

Online check in via Zoom assigned to group, preliminary discussions

10:00 – 13:00

Three hours of hands-on training on AI topic: Decision Tree Learning & Teaching Methods.

Flexible break times to be decided by group and facilitator.

Group 1 (Facilitator: Sambit Bhattacharya)

Group 2 (Facilitator: Denny Czejdo)

Group 3 (Facilitator: Valentin Milanov)

Day Four - Thursday July 23rd

Starting Time

Activities

09:45 – 10:00

Online check in via Zoom assigned to group, preliminary discussions

10:00 – 13:00

Three hours of hands-on training on an AI topic: Neural Networks & Teaching Methods.

Flexible break times to be decided by group and facilitator.

Group 1 (Facilitator: Sambit Bhattacharya)

Group 2 (Facilitator: Denny Czejdo)

Group 3 (Facilitator: Valentin Milanov)

Day Five - Friday July 24th

Starting Time

Activities

09:45 – 10:15

Online check in via Zoom, summary discussion of completed activities

10:15 – 11:15

Keynote and Q&A by Sudipta Dasmohapatra, Duke University

11:15 – 11:30

Break (10-15 mins)

11:30 – 12:30

Panel discussions moderated by students

12:30 – 13:30

Lunch break (1 hour)

13:30 – 14:30

Town hall discussions (open to all)

14:30 – 14:45

Break (10-15 mins)

14:45 – 15:45

Project presentations by groups

15:45 – 16:15

Wrap-up, discussion of future activities and ideas for collaboration

16:15 – 16:30

Completion of post-survey