Artificial intelligence is a growing area of interest in higher education. This guide aims to review & recommend resources to help faculty with understanding AI in general and start exploring questions about how they want to know about AI.
Use the left-hand column to navigate to your area of interest.
Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, particularly computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using the rules to reach approximate or definite conclusions), and self-correction.
AI is often categorized into two types:
Narrow AI: Also known as weak AI, this type of AI operates under a limited set of constraints and is designed to perform a narrow task, such as voice recognition or driving a vehicle. Most AI that we interact with today, like virtual assistants (e.g., Siri or Alexa), are considered narrow AI.
General AI: Also known as strong AI, this type of AI possesses the ability to perform any intellectual task that a human being can do. It can understand, learn, adapt, and implement knowledge in a way that's not limited to a specific domain.
AI technologies, such as machine learning, enable systems to learn and improve from experience. They can perform tasks without being explicitly programmed, instead learning from input data and refining their performance over time.
Artificial Intelligence (AI) has significant potential in reshaping education, making it more personalized, efficient, and inclusive. Some examples include:
While AI presents these remarkable opportunities, it's crucial to navigate potential challenges such as data privacy and security, ensuring AI's equitable use, and addressing concerns around the depersonalization of education. As with any technology, the goal should be to use AI to enhance human effort in education, not replace it.
Faculty will need to consider these possibilities as they think about curriculum, teaching, and learning, as they prepare students for an increasing AI-integrated future as citizens and in the workforce.