The report makes the case for the need to shift to personalized learning to serve growing numbers of diverse learners. It asserts that current models that drive personalization are often overly simplistic and not based on research. The report expresses concern that these over-simplified models risk driving personalization in a way that actually perpetuates achievement gaps for historically underserved students. It goes on to review recent research on how learning occurs, and advocates for ensuring learning approaches and tools are always research-based. Lastly, it outlines both the promise and concerns of using technology to increase personalization.
This paper is a call to educators, technology developers, researchers, and others in the field to work together, using what is known about learning science, to build tools that truly personalize support for every student.
Source Organization: Digital Promise Global