 In most settings, all students are expected to learn material at the same time and in the same way. Many find themselves either ahead or behind others, and learning outcomes suffer, particularly for students who need extra time to master the material. Flipped courses, competency-based education, and online and hybrid classes are changing the way we think about learning. Flexibility and delivery creates opportunities with learning that adapts to the needs of each student. Combining new learning models with digital courseware, integrated planning and advising for student success and analytics can create a learning ecosystem that tailors support to individual students. For example, an e-textbook could share data with a learning management system about the number of pages read, time spent on each page, notes made, or number of times a video was watched. An analytics tool could evaluate those data for patterns associated with engagement, achievement, and course success. The tool could trigger alerts to students and faculty when problems arise. An adaptive learning system could adjust learning content on the fly based on data from an online quizzing tool that shows each student's mastery of the material. Prior learning assessment credits skills and knowledge individuals have when they enter a course. In a competency-based program, students move to the next unit as soon as they demonstrate mastery of the specified learning objectives. Advisors would have access to data and tools that enable them to tailor guidance and degree planning support to help students maintain progress toward completion. Instructors see which students need extra help and which would benefit from new challenges to keep them engaged. This integration of tools and systems facilitates the kind of personalized learning that can improve learning outcomes, boost student confidence and accountability, and increase rates of retention and, ultimately, degree completion. Thank you for watching.