2Personalized Learning 2
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 showseach 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..
