Personalized Adaptive Learning

Personalized Adaptive Learning

  • Project Lead: Baiyun Chen
  • Contributors: Jessica Tojo, Corrinne Stull, James Paradiso, Joseph Lloyd, Ralph Baird, UCF Faculty members
  • Category: Scaling
  • Description:
    The Personalized Adaptive Learning (PAL) team at the UCF’s Center for Distributed Learning assists faculty members to design and develop courses using adaptive learning systems, e.g. Realizeit. Through adaptive learning courseware, students get personalized learning content and assessments that can accommodate differences in their skill sets and learning preferences.
  • Impact:
    Up to Fall 2018, we have built 26 adaptive learning courses, 94 course sections, which impacted 7534 students. The courses are in various disciplines, e.g. college algebra, information technology, business statistics, public administration, general psychology, pathophysiology, and computer science.
  • Resources:
    CDL Personalized Learning website