Best Model Wins: Using Games to Teach Advanced Modeling and Data Science
Listen and learn : Lecture
Saturday, December 5, 7:45–8:30 am PST (Pacific Standard Time)
Learn how analytics students at the Kelley School of Business are competitively hunting spies, predicting floods and harvesting giant peaches to master advanced concepts in data modeling. Then, practice using a versatile design framework to design games for your own classroom — whether your students are kindergartners, college seniors or beyond.
|Audience:||Curriculum/district specialists, Teachers, Teacher education/higher ed faculty|
|Attendee devices:||Devices not needed|
|Topic:||Games for learning & gamification|
|Grade level:||Community college/university|
|Subject area:||Math, STEM/STEAM|
|ISTE Standards:||For Educators:
Participants will learn and practice implementing a versatile framework for building educational games in the classroom. The framework caters specifically to educators that feel they are incapable of designing games because they lack experience, aren't tech-savvy, or teach in a field that isn't well-suited for games.
A sample of principles to be discussed:
What are the rules/characteristics of a simplified “universe” where mastery of the objective is useful?
What systems do we want to expose the player to?
What need, pain, or unsolved problem do we want students to feel at a visceral level?
What real-world consequences can we remove or reduce?
What feedback loops from the real world can we compress into a tighter, shorter frame?
What opportunities exist for players to compete with each other?
Are there real-world feedback loops that can be exaggerated or made more dramatic?
The session will allow for both discussion and implementation of these questions in fields specific to the participants.
FRAMEWORK / PRINCIPLES