The Landscape Analysis of Personalized Learning in Massachusetts maps the current landscape of personalized learning in K-12 Massachusetts districts by inventorying known practices and digital infrastructure that support personalized learning. It provides a preliminary attempt to understand district readiness and progress on the pathway to personalizing learning. The Massachusetts Personalized Learning Edtech (MAPLE) Consortium will continue to expand and update these initial findings. Personalized learning seeks to accelerate student learning by tailoring the instructional environment – the what, when, how and where students learn – to address the individual needs, skills and interests of each student.

The Landscape Analysis will provide a baseline on which to develop metrics to measure progress in personalizing learning in Massachusetts districts, identify school exemplars to share successful practices with educators, inform public discussions about educational priorities, and assist organizations in supporting the transformation of learning and teaching practices in Massachusetts to better prepare all students for their futures. Additionally, the Landscape Analysis will serves as a guide for programming for the MAPLE Consortium.