Introduction to AI Literacy

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Non-Credit
Self-paced (approx. 2.5 hrs)
Online - Asynchronous

Introduction to AI Literacy

This module is intended for students as they prepare to enter university, current university students who are becoming familiar with AI tools, or anyone else who is interested in learning the fundamentals of language-based AI.

For university students beginning your studies, you'll soon encounter new ways of learning, researching, and collaborating. University is a time to expand your thinking, learn from the knowledge and experiences of your faculty and peers, and to find your authentic voice as you grow personally and professionally.

Artificial Intelligence (AI) is becoming increasingly present in higher education and the work place, and people are frequently making choices about whether to use it and how. The focus of this course is on AI Literacy: the foundational ability to understand what AI is, how it works, its strengths and limitations, and how to use it responsibly and ethically.

Developing a foundational level of AI literacy now will help you navigate your academic and post academic journey with better confidence. With a clearer understanding of what AI can and cannot do, you'll be better prepared to make thoughtful, informed decisions about when and how you engage with AI.

In this module, when we talk about AI, we are focusing on text-based artificial intelligence tools. Systems that can generate, analyze, or respond to text based on your input. Examples include, ChatGPT, Claude, Co-Pilot, and similar platforms. These tools can support tasks such as summarizing information, answering questions, brainstorming ideas, or drafting text. While powerful, they also come with important considerations about accuracy, ethics, and appropriate use in academic contexts.

By the end of this course, students will be able to...
  • Reflect on their current understanding, experiences, and concerns related to AI, and recognize how their existing habits may support or challenge their learning.
  • Describe what large language models (LLMS) are, including in simple terms how they are trained and how they generate responses.
  • Recognize common strengths and limitations of AI tools and identify situations where human judgment is needed.
  • Demonstrate a basic understanding of key ethical and academic considerations in using AI at university.
  • Reflect on the differences between human thinking and AI processes, and express why human judgment, creativity, and responsibility remain essential when engaging with AI.

To receive your "Introduction to AI Literacy" Completion Certificate, you'll need to complete the following steps: 

  • Getting Started Questionnaire
  • Watch the lecture by Dr. Dan Lametti from the Psychology Department and answer the embedded questions
  • Listen to a Podcast, and answer the comprehension questions (See Content Warning)
  • Share your thoughts in the Discussion Forum, How do humans differ from AI?
  • Exit Questionnaire

 

 

Dr. Daniel Lametti

Price: $0.00