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Remediation works best when activities are focused on specific areas of weakness for each student. These weaknesses can be identified by analyzing the results of standardized tests, adaptive learning approaches, or even faculty-generated tests. However, many faculty struggle to provide remediation materials when students don't know what they don't know. And of course, identifying individual weaknesses is only half the battle. Faculty also have to be able to guide students to the appropriate content for their remediation needs (and ensure students follow through on said remediation).
Hear Dr. Schreiner share how Elsevier is helping faculty do just that through machine learning and the next generation of HESI:
Contact your Elsevier Education Solutions Consultant to learn more about the next generation of HESI.