With advances in learning sciences, computer sciences, technology, and psychometrics we now can design and develop assessments such as stealth assessment that are embedded into the fabric of learning environments (e.g., an educational game). Stealth assessment is ubiquitous, unobtrusive, and in real-time. It aims to blur the boundaries between game play, learning, and assessment. As the learners interact with the learning environments and provide evidence for what they know and are capable of, the stealth assessment machinery diagnostically estimates their level of knowledge and skills in various grain sizes. These estimates then can be used as the basis for providing learning supports, feedback, instructions, or matching the challenges in the learning environment (e.g., game difficulty) to students’ proficiency level and help them maximize their learning. Stealth assessment has been used to assess hard-to-measure competencies (e.g., creativity, persistence, problem solving) and knowledge acquisition (e.g., physics understanding, calculus, art history). In this course, you will learn about the related theories, examples, and the design and development processes of stealth assessment.