Author Mary Burns discusses the key elements of computer adaptive testing (CAT). CAT is defined as assessments that use algorithms to progressively adjust test difficulty based upon learner's correct or incorrect responses. The benefits of CAT include more immediate data and are often more reliable. Types of test items are also covered to illustrate how the test can meet various levels of cognition and measure expertise. An issue related to CAT is the intensive time needed to develop multiple test items at multiple levels of cognition. Rating: 8/10