AI for Teaching and Learning: Higher Education

This Course is not for Academic Credit

100% ONLINE

SELF-PACED

NO COST

6 hours

Summary

The emergence and rapid spread of generative AI technologies has already begun a seismic shift in personal, professional and academic spheres of society. Explore the capabilities, concerns and potential of this transformative technology in higher education and beyond in Teaching and Learning with Generative AI: Higher Education.

What you'll learn:

Before you can learn about the impacts of generative AI on higher education, you’ll need to understand the history, core concepts, and diverging development paths of this emerging technology. This course will then teach you how to identify and address issues in large language models, how to overcome obstacles to effectively use generative AI, and about early academic and professional applications of the technology.

You’ll study the constantly evolving challenges and approaches to ethical AI use, and dive into an exploration of how to leverage AI without sacrificing academic integrity. And you’ll learn how generative AI is already reshaping academic and professional expectations as well as education-specific applications and benefits of the technology.

Module and Content:

The course unfolds in stages, as it is deliberately structured for increasing levels of familiarity and proficiency with generative AI:

  • Modules 1-3 address foundational information and key challenges related to generative AI.
  • Modules 4-5 facilitate the development of related skills needed to use its growing number of tools.
  • Module 6 provides practical applications to integrate generative AI into higher education.

It is up to you to choose where you will begin and what you would like to explore.

Learning Objectives:

  • Identify the core principles and technologies behind generative AI, including its key components and functionalities.
  • Describe the history and development of artificial intelligence, highlighting the transition from traditional models to generative AI.
  • Explain the challenges and limitations of large language models (LLMs) and the strategies employed to address them in generative AI applications.
  • Summarize the ethical considerations and potential impacts of generative AI on society, focusing on privacy, bias, and academic integrity.
  • Outline the transformative potential of generative AI in education, including its ability to personalize learning and enhance educational content.

Who is this certificate designed for:

Our primary objective is to equip educators like you, who are venturing into this domain for what may be the first time, with both the necessary skills and a resilient mindset. The course material we’ve curated is designed to give you a foundational understanding of the field and its dynamic nature. It represents an approach intended to proactively address the surge in the availability and use of generative AI; it is not intended to be, nor could it be in the current environment, either comprehensive or definitive.

What you'll receive:

After passing the final exam, you will receive a digital badge for completion of this course.