Problem
AI can generate convincing but inaccurate information.
Action
Check important AI outputs against reliable sources before relying on them.
Outcome
You make more reliable decisions.
Chapter: Thinking With AI - AI Basics
Problem
AI can produce content faster than people can evaluate its quality.
Action
Focus learning activities on evaluating, improving, and questioning AI-generated work.
Outcome
Students develop skills that remain valuable in an AI world.
Chapter: Thinking With AI - A New Era of Work
Problem
Students may trust AI outputs without understanding their limitations.
Action
Ask students to test AI responses for accuracy, bias, and reasoning.
Outcome
Students become more capable and responsible AI users.
Chapter: Thinking With AI - AI Literacy
Problem
People often stop searching once they find an acceptable idea.
Action
Generate multiple perspectives and solutions with AI before making choices.
Outcome
Creative thinking becomes broader and stronger.
Chapter: Thinking With AI - Reimagining Creativity
Problem
Repetitive tasks limit the time available for teaching and mentoring.
Action
Use AI to support preparation, resource creation, and administrative work.
Outcome
More time is available for student learning.
Chapter: Teaching With AI - AI-Assisted Faculty
Problem
AI-generated work can hide what students actually understand.
Action
Require students to explain their reasoning and learning process.
Outcome
Student understanding becomes easier to assess.
Chapter: Teaching With AI - Cheating and Detection
Problem
Rules about AI use can become disconnected from educational purposes.
Action
Define acceptable AI use in line with the skills students are expected to develop.
Outcome
Students understand the purpose of AI guidelines.
Chapter: Teaching With AI - Policies
Problem
Polished outputs do not always reflect genuine understanding.
Action
Assess reasoning, judgment, and revision in addition to final products.
Outcome
Grades better reflect meaningful learning.
Chapter: Teaching With AI - Grading and (Re-)Defining Quality
Problem
Students often need more feedback and practice than instructors can provide.
Action
Use AI to deliver feedback and simulate realistic learning interactions.
Outcome
Students improve through more frequent practice.
Chapter: Learning With AI - Feedback and Roleplaying with AI
Problem
Completed assignments may not show how learning occurred.
Action
Require students to document decisions, revisions, and key steps in their work.
Outcome
Evidence of learning becomes visible.
Chapter: Learning With AI - Designing Assignments and Assessments for Human Effort
Problem
Students may treat AI as either a replacement for writing or as something to be avoided entirely.
Action
Teach students to use AI for planning, feedback, and revision while remaining responsible for the final work.
Outcome
Students develop stronger writing skills and a greater sense of ownership.
Chapter: Learning With AI - Writing and AI
Problem
Knowledge recall alone no longer demonstrates valuable human capability.
Action
Create assessments that require students to apply their knowledge and justify their decisions in realistic situations.
Outcome
Assessment better measures human judgment.
Chapter: Learning With AI - Assignments and Assessments