Resources for instructors using AI in their courses
Practical guides from Maize on using AI in university teaching, from course AI policies to what students actually ask an AI teaching assistant.
Short, practical reading for instructors teaching quantitative courses. Everything here comes from building and running Maize, an AI teaching assistant that works from your own course materials. Need a course AI policy today? The free AI policy generator writes one in a few minutes.
AI syllabus policy examples by discipline
Sample AI syllabus policies for quantitative courses, organized by discipline, at three levels of use. Companion guides to the free Maize policy generator.
-
AI policy for a statistics course, with examples
Sample AI syllabus policies for statistics courses at three levels of use, with clauses for code, output interpretation and disclosure.
-
AI policy for an intro economics course, with examples
Sample AI syllabus policies for introductory economics at three levels of use, with clauses for problem sets, graphs and showing work.
-
AI policy for a financial accounting course, with examples
Sample AI syllabus policies for financial accounting at three levels of use, with clauses for journal entries, statements and disclosure.
How Maize AI TAs work
What a Maize AI TA does in your course, from how it answers students to what it leaves to you and what it shows you about your class.
-
What an AI teaching assistant can tell you about your course
How Maize turns student questions into course insights, from the concepts students ask about to alerts when your materials miss a topic.