Course Description

Artificial Intelligence (AI) has revolutionized the field of education by leveraging advanced technologies such as machine learning, adaptive learning, and intelligent tutoring systems. These innovative approaches are transforming the learning experience for students and educators alike. AI-powered systems are enabling personalized learning, efficient data-driven instruction, and the development of virtual assistants to enhance educational outcomes. 

Machine learning (training algorithms to learn from data and make intelligent predictions) allows educational systems to adapt to students’ individual needs, preferences, and learning styles. Adaptive learning platforms utilize machine learning algorithms to deliver personalized education tailored to each student’s strengths and weaknesses. 

Data-driven instruction is another powerful application of AI in education. By collecting and analyzing vast amounts of educational data, AI systems can provide valuable insights into student performance, engagement, and learning patterns.

Another area where AI is being utilized to enhance educational experiences is in digital games. By incorporating gamification elements such as rewards, challenges, and leaderboards into the learning process, AI-powered systems make education more interactive and enjoyable.

In this course, we will talk about how learning can harness AI’s potential to create innovative and effective learning environments for learners.

Learning Objectives

This is a foundational course in Artificial Intelligence, spanning its application in our homes, classrooms, workplaces, and society at large.

We will begin with a discussion of the history of AI and the underlying technologies that enable it. Topics include how and when to leverage artificial intelligence to address opportunities and challenges within a variety of contexts, best practices in the implementation and evaluation of AI, and pedagogical strategies for AI-assisted teaching and learning.

Learners will be challenged to think critically about the greater social, cultural, and environmental implications of artificial intelligence with special emphasis on addressing bias from an intersectional perspective. As a final project, learners will have the opportunity to create an AI-powered prototype or detailed implementation plan.

Core Themes & Activities

This course leads you through resources, discussions, and activities that explore:

• Algorithms, machine learning, deep learning, and neural networks.
• Historical perspectives on AI
• AIEd in our classrooms (from intelligent tutors to facial recognition systems)
• Bias in AI
• An AI-empowered society
• Pathways forward with AI

Discussion participation is pivotal to deepening your engagement with course material, transforming theoretical knowledge into practical understanding. Weekly exercises will expose you to other aspects of artificial intelligence and education, and feature skills practice with these tools.