The term “adap­tive learning” can mean many things, even to col­leges that have begun exper­i­menting with it.

A broad def­i­n­i­tion is the use of soft­ware — often driven by data col­lec­tion — to create a more indi­vid­u­al­ized learning expe­ri­ence for stu­dents. Experts say adap­tive learning has promise in tai­loring course­work and sup­ports to stu­dents, which could boost reten­tion and grad­u­a­tion rates.

The lan­guage around the tech­nology “seems to be up for grabs,” said Peter Stokes, exec­u­tive director of post­sec­ondary inno­va­tion at North­eastern University’s Col­lege of Pro­fes­sional Studies.

The dis­tinc­tion between “adap­tive” and “per­son­al­ized” learning is unclear, he said. Even old-​​fashioned tutoring or extra-​​credit projects can be called per­son­al­ized learning, as can data-​​driven course­ware that morphs in response to each student.


Read the article at Inside Higher Ed →