Personalized Learning Approaches

1. Adaptive learning

Adaptive learning is a form of personalized learning which uses data to eliminate the one-size-fits-all curriculum.  This is a form of differentiating instruction on a student level.   This form of instruction has been around for years, but technology enables faculty and others in higher education to use predictive analytics for personalizing instruction in a way never seen before.  FHSU is exploring this form of adaptive learning whereby, for example, students in the same math course could go through different sets of lessons and fit the material to customize content to individual learning needs. (A is for adaptive, Kayla Webley, TIME magazine, Vol. 181, #23, 2013)

2. Autonomous learning/DIY learning

Autonomous learners call on universities to provide them with staff who will serve as sherpas, guiding and advising them along their individual learning paths.  Learning will blend in new ways and courses will become decentered, not confined to a particular time, place, duration or pace.  Self-paced, customizable, autonomous learning is easiest and best managed through technology.  (Autonomous Learning and the Future of Higher Education, 2013, David Staley)

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