Artificial Intelligence with MIT App Inventor

Artificial Intelligence (AI) has been part of computing since the 1950s. But it’s only been since 2000 that AI systems have been able to accomplish useful tasks like classifying images or understanding spoken language. And only very recently has Machine Learning advanced to a point such that significant AI computations can be performed on the smartphones and tablets available to students.

MIT is building tools into App Inventor that will enable even beginning students to create original AI applications that would have been advanced research a decade ago. This creates new opportunities for students to explore the possibilities of AI and empowers students as creators of the digital future.

AI with MIT App Inventor includes tutorial lessons as well as suggestions for student explorations and project work. Each unit also includes supplementary teaching materials: lesson plans, slides, unit outlines, assessments and alignment to the Computer Science Teachers of America (CSTA) K12 Computing Standards.

As with all MIT App Inventor efforts, the emphasis is on active constructionist learning where students create projects and programs that instantiate their ideas.

This first AI unit, Image Classification, explores basic concepts in contemporary computer vision.

More units to follow ...

Introduction to Machine Learning: Image Classification

Difficulty: beginner

Resource Type: curriculum unit

Subject: computer science

Grade Level:

  • 6-8
  • 9-12

Students will learn about the basics of machine learning and create their own apps that implement these concepts through image classification. The students will take photos with their mobile devices and the apps will identify objects within those photos. Each classification comes with a confidence level, a value of how...  More Details

Personal Image Classifier

Difficulty: beginner

Resource Type: curriculum unit

Subject: computer science

Grade Level:

  • 6-8
  • 9-12

This AI unit is broken into three parts. In part 1, students learn how to create and train their own image classification model to identify and classify images. In part 2, students use their model in an app using MIT App Inventor to see how their model performs. In part...  More Details