28 Artificial Intelligence
Courses
Artificial Intelligence Planning by Gerhard Wickler and Austin Tate (CC BY-NC).
This course introduces artificial intelligence planning techniques and their applications. It comprises a 5-week course with up to 10 hours of lecture material. It is accessible at several levels of engagement from an “Awareness Level”, through the core “Foundation Level”, to a more involved Performance Level” requiring programming and other assignments. Course materials include YouTube videos, weekly slides, quizzes, supplements, assignments, exams, and a Second Life virtual learning space and group.
Textbooks
Beyond Binary Minds: Navigating the Next Wave of AI Technology by Hawaiian Malia (CC-BY-SA).
Welcome to the dawn of a new era, where the lines between human intelligence and artificial intelligence are blurring, giving rise to a transformative wave of technological evolution. In “Beyond Binary Minds,” we embark on a journey to explore the coming trends in AI technology that promise to reshape industries, redefine human-machine collaboration, and push the boundaries of what we once thought possible.
The Curious Educator’s Guide to AI by Paul R MacPherson Institute for Leadership, Innovation, Excellence in Teaching (CC-BY).
Generative AI refers to a type of artificial intelligence that can generate content from text input. Generative AI utilizes complex algorithms, often based on machine learning models to analyze and learn from large datasets. This “learning” process enables generative AI tools to produce original outputs that can convincingly mimic the style, tone, or structure of the input data.
Generative Artificial Intelligence: Practical Uses in Education by Troy Heaps (CC-BY).
This resource, produced by Open Ed Manitoba, is focused on how AI tools can be used in polytechnic education. However, much of the content will also be relevant to educators in other educational contexts, like university or high school. The term ‘instructional staff’ is used widely in this resource and is meant to include instructors, professors, lecturers, teachers, educational assistants, and tutors.
A Pragmatic Guide to Conversational AI by Ross Bigelow (CC-BY).
This book is intended to be a pragmatic guide to helping able citizen data scientists to utilize common frameworks and tools to create conversational artificial intelligence experiences for users.
Teaching and Generative AI by Beth Buyserie and Travis N. Thurston (CC BY NC-ND).
With the rapid development of Generative AI, teachers are experiencing a new pedagogical challenge—one that promises to forever change the way we approach teaching and learning. As a response to this unprecedented teaching context, Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions provides interdisciplinary teachers, librarians, and instructional designers with practical and thoughtful pedagogical resources for navigating the possibilities and challenges of teaching in an AI era. Because our goal with this edited collection is to present nuanced discussions of AI technology across disciplines, the chapters collectively acknowledge or explore both possibilities and tensions—including the strengths, limitations, ethical considerations, and disciplinary potential and challenges—of teaching in an AI era. As such, the authors in this collection do not simply praise or criticize AI, but thoughtfully acknowledge and explore its complexities within educational settings.
