This self-assessment survey helps you measure your GenAI readiness and attitude by assessing five areas: GenAI ethics, technology self-efficacy, GenAI pedagogical proficiency, GenAI self-efficacy, and GenAI critical thinking. After you complete the survey, you can compare your scores in each area to find out which are your strengths and which you may need to work on. Use these score guidelines: high >4 and low <2. High scores mean you are more ready and have a positive attitude toward using GenAI. Low scores mean you are less ready and may feel less positive about using GenAI. Use your results to decide which areas to improve or to help choose your next professional development activity. For example, if you scored less than 2 in any category, consider seeking educational development specific to that area. 

GenAI Ethics

Topics that help educators understand implications of AI related to bias, privacy, integrity, and responsible use. Examples:

• Identifying and mitigating bias in GenAI writing and assessment tools

• Understanding student data privacy when using AI-enabled platforms

• Designing ethical AI use guidelines for courses

• Applying transparency and citation when using GenAI tools

Technology Self-Efficacy

Topics that build general confidence in learning and applying new technologies beyond AI. Examples:

• Developing digital confidence with LMS features (analytics, rubrics, templates)

• Learning new educational technologies (e.g., video feedback tools, annotation tools)

• Troubleshooting and experimenting with unfamiliar teaching technologies

• Building a growth mindset for tech adoption in the classroom

GenAI Pedagogical Proficiency

Topics that help educators integrate GenAI into learning experiences, including design, facilitation, and assessment. Examples:

• Designing assignments that incorporate AI responsibly and creatively

• Using GenAI to scaffold writing, problem‑solving, or feedback workflows

• Redesigning assessments to leverage GenAI while maintaining rigor

• Using GenAI to model disciplinary thinking (e.g., revision, lab procedures)

GenAI Self-Efficacy

Topics that help educators feel capable using GenAI tools and influencing output quality. Examples:

• Prompt‑crafting basics for educators new to GenAI

• Improving AI output using iterative prompting strategies

• Comparing different GenAI tools for instructional use

• Understanding limitations and boundaries of current GenAI systems

GenAI Critical Thinking

Topics that develop educators’ ability to evaluate and question the quality, accuracy, and appropriateness of GenAI output. Examples:

• Detecting hallucinations, inaccuracies, and biased reasoning in AI responses

• Evaluating whether AI‑generated content is developmentally appropriate for learners

• Teaching students to critique and refine AI‑assisted work

• Analyzing when AI‑generated explanations oversimplify or distort disciplinary concepts