by train-and-gain-admin |
on February 4, 2022

Week 3 – Feb. 4, 2022

Mini game pitches

We brainstormed and pitched 8 mini games relating to modules from the curriculum.

Map with different mini games
Game 1: Data Depth
Game 2: Clustering
Game 3: Natural Language Processing (NLP)
Game 4: Artificial Neural Network (ANN)
Game 5: Linear Regression
Game 6: BFS and DFS
Game 7: Classification
Game 8: Block Programming
Summarizing

Client Feedback 1

-Let the player be a robot who is learning AI that can be changed into something better. For example, players can be someone who is training the robot.

-Have Christine, Pat, Leslie, and other AIPI faculty involved in the game idea evaluation.

-The linear Regression idea and the Map are good. We can consider adding an office of this restaurant as well, to teach more about the data

-As for the backend of the game, i.e. login, logout, progress recording system, is it possible to connect this account to the google classroom account

-It’d be great if we can join the curriculum design meeting with AIPI teachers 

 Next steps

-Programmers start to explore the backend of the game.

-UIUX designers start to design the wireframe for this login menu and score recording interface 

-Team starts to build the Clean the Restaurant game about linear regression. 

Client Feedback 2

Phil had a meeting with Christine to discuss further on the games and the ideas that we had presented. They liked the idea and theme of the game. They felt that it would be better to focus on modules that require the addition of games more than others. So, they narrowed it down to three modules/concepts that they’d find most valuable to focus on:

-Natural Language Processing

-Self-driving cars

-Neural Networks

Meeting with Christine and Pat

Later that week, we had a meeting with Christine and Pat Virtue, who is an Assistant Teaching Professor in the School of Computer Science at Carnegie Mellon University. Talking to Pat and Christine, we got a lot of good feedback and direction:

-It will be better to just focus on 1 module and make a game that explores that concept in depth.

-The game should focus on the concept and explain it well, by making it simpler for students to understand.

-Pat also shared a few game examples that he had coded for his class.

Next steps

-Choose a single concept from the available three options and brainstorm.

-Make a rough draft of the concept.

-Run it by Phil and Pat to understand if we are headed in the right direction.

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