The resources below are free courses or other professional development opportunities for educators.
UNESCO ChatGPT, Artificial Intelligence, and Higher Education Training
This is a free, self-paced introduction to ChatGPT and AI created by Emma Sabzalieva and Arianna Valentini. Topics include the following:
- How ChatGPT works
- Introduction to Artificial Intelligence
- Applications in higher education, including teaching activities, research design, data analysis, writing for publication, and peer review
- Improving processes in higher education
- Challenges and ethical implications
- UNESCO recommendations
- Adapting to AI at your institution (beginning with a full-scale AI audit)
Khan Academy: AI for Education
There are so many exciting developments in the field of artificial intelligence (AI), and the future remains unwritten. This course is somewhat unwritten, too! This course is a work-in-progress!
We only have a few articles in a single unit so far, but as our understanding evolves, so will the course. For now, please think of this set of articles as an appetizing starter course!
Coursera, Vanderbilt University Prompt Engineering for ChatGPT
Vanderbilt’s Prompt Engineering for ChatGPT course teaches the most effective patterns and approaches to writing inputs for the large language model. Students start by crafting basic prompts and build toward writing sophisticated prompts to solve problems across all domains. Learners solidify their prompt engineering skills through interactive, hands-on assignments.
By the end of the course, participants will possess strong prompt engineering skills and be capable of using large language models for a wide range of tasks in their personal, professional and academic endeavors, such as writing, summarization, gameplay, planning, simulation, programming and more. (https://news.vanderbilt.edu/2023/05/24/vanderbilt-launches-free-online-chatgpt-course-shaping-the-future-of-ai-education/)
CS 281: Ethics of Artificial Intelligence
Level: Intermediate (this link provides a syllabus and readings for the course)
Machine learning has become an indispensable tool for creating intelligent applications, accelerating scientific discoveries, and making better data-driven decisions. Yet, the automation and scaling of such tasks can have troubling negative societal impacts. Through practical case studies, you will identify issues of fairness, justice and truth in AI applications. You will then apply recent techniques to detect and mitigate such algorithmic biases, along with methods to provide more transparency and explainability to state-of-the-art ML models. Finally, you will derive fundamental formal results on the limits of such techniques, along with tradeoffs that must be made for their practical application. (Stanford professors Carlos Guestrin and Agata Foryciarz)
CVC292-2: Special Topics in Civic Engagement:Digital Interventions: AI & Education
Lance Eaton developed this course for CU for Spring 2023. Course description: This course is about the present and future; it’s about tools, how they change, and how they change what we can do. It’s also about what gets lost, confusing, or troubling as new tools come into being that disrupt, override, or diminish cultural, social, and personal practices, expectations, relations, and meaning. Technologies are not neutral and the changes they bring can often have downstream effects and consequences. Our goal for this course is to be both dreamer and skeptic, prophet and futurist, honest broker and fierce advocate; to hold these tensions to help us arrive at an understanding of how artificial intelligence, particularly tools like ChatGPT (writing) and DALLE-2 (visual imagery), can impact education and how we should be anticipate, prepare, and train for their increasing use in society and education. Our goal is to document the concerns and possibilities and use that knowledge to craft a proposed policy that institutions (particularly, CU) can use to address the technology and its proper use in education.