This section of The Learning Accelerator (TLA)’s EdTech Systems Guide details considerations for reflecting on a pilot program as part of a broader edtech selection process and was developed in partnership with the Massachusetts Department of Elementary and Secondary Education’s Office of Educational Technology.
This section of The Learning Accelerator (TLA)’s EdTech Systems Guide details considerations for conducting a pilot program as part of a broader edtech selection process and was developed in partnership with the Massachusetts Department of Elementary and Secondary Education’s Office of Educational Technology.
This section of The Learning Accelerator (TLA)’s EdTech Systems Guide details considerations for designing a pilot program as part of a broader edtech selection process and was developed in partnership with the Massachusetts Department of Elementary and Secondary Education’s Office of Educational Technology.
This nine-part edtech evaluation process was developed as part of The Learning Accelerator (TLA)’s partnership with the Massachusetts Department of Elementary and Secondary Education’s Office of Educational Technology and is included in TLA’s EdTech Systems Guide.
This three-part process to determine edtech needs was developed as part of The Learning Accelerator (TLA)’s partnership with the Massachusetts Department of Elementary and Secondary Education’s Office of Educational Technology and is included in TLA’s EdTech Systems Guide.
This four-part strategy to consistently engage stakeholders in edtech selection, implementation, and evaluation processes was developed as part of The Learning Accelerator (TLA)’s partnership with the Massachusetts Department of Elementary and Secondary Education’s Office of Educational Technology and is included in the EdTech Systems Guide.
In this example, the box plot illustrates the number of suspensions issued by each school during each year. The boxes represent the range of the majority of the data, with the horizontal line indicating the mean value. Each dot then indicates an outlier, a variable (or school) that exceeds the rest of the data.
Leaders of virtual and hybrid programs can use this checklist to audit their program’s edtech stacks. This tool is designed to produce actionable insights about where edtech products support overall virtual and hybrid program quality. Additional information about the drivers of virtual and hybrid program quality can be accessed in The Learning Accelerator (TLA)’s report, Driving Quality in Virtual & Remote Learning.
This document provides a step-by-step approach to designing and executing an edtech pilot program, reflecting on the data collected, and deciding whether to ditch, scale, or iterate on a tool. Users can utilize this note-taking resource to capture learnings, discussion questions, and observations throughout the pilot.
(This resource is part of the supplementary workbook found in theMA DESE EdTech Systems Guide.)
The technology team at Mendon-Upton Regional School District (MURSD) designed this evaluation rubric to score edtech pilot proposals submitted by their teachers. Teachers can nominate specific edtech tools to pilot in their classroom that they believe would meet their students’ unique needs and have an impact on learning. Once teachers submit a proposal form, the MURSD technology team determines whether or not to approve the tool for a pilot program by reviewing district-identified non-negotiables (e.g., tool aligns to the district’s priorities, meets privacy requirements including FERPA and COPPA), teacher criteria (e.g., high perceived impact on learning, low perceived number of challenges, strong implementation plan), and technology criteria (e.g., interoperability, single sign-on, data visibility). After all factors are scored on a numerical scale, the technology team can approve or reject a proposed pilot.
