Achievement & Assessment Institute


The Dynamic Learning Maps® (DLM®) Alternate Assessment System is a computer-based assessment system for students with significant cognitive disabilities for whom general state assessments are not appropriate, even with accommodations. DLM assessments offer students in grade three through high school a better way to show what they know and can do.

DLM assessments are administered in many states across the United States. These states’ departments of education collectively comprise the Dynamic Learning Maps Consortium. The Consortium is facilitated by the Center for Accessible Teaching, Learning & Assessment Systems (ATLAS) at the University of Kansas in partnership with the Center for Literacy and Disability Studies at the University of North Carolina, Chapel Hill.

The DLM project was initially funded through a five-year $22 million grant, awarded in late 2010 by the U.S. Department of Education’s Office of Special Education Programs. The Consortium now self-funds all activities, including ongoing assessment development, research, and assessment administration.

Visit Dynamic Learning Maps for more information.

I-SMART (Innovations in Science Map, Assessment, and Report Technologies) is a four-year, $3.8 million research and development project funded in late 2016 by the U.S. Department of Education Office of Elementary and Secondary Education's Enhanced Assessment Grant program. The Maryland State Department of Education leads the project in collaboration with a project governance board that includes representatives from state departments of education in Missouri, New Jersey, New York, and Oklahoma as well as advisors. Researchers at ATLAS lead the research arm of the project, along with staff from CAST and BYC Consulting.

The project is focused on research activities to support science teaching and learning for students who take alternate assessments, and students with or without disabilities who take general assessments but perform significantly below grade level. I-SMART will integrate DLM science learning map models with cross-disciplinary content in the ELA and mathematics maps. Additional activities include developing and piloting innovative science testlets and designing a prototype interactive reporting dashboard.

Visit I-SMART for more information.

5E-SESE (5E-Model Professional Development in Science Education for Special Educators) is a four-year, $1.4 million development and innovation project funded in late 2018 by the U.S. Department of Education's Institute of Education Sciences Grant program. Researchers at ATLAS lead the project in collaboration with partners from UNC Charlotte; a project governance board that includes representatives from state departments of education in Iowa, Missouri, Oklahoma, and Wisconsin; and advisors. Researchers at ATLAS and UNC Charlotte lead the research and design and development teams, working with additional staff from KU.

The 5E-SESE system integrates best practices from science education and universal design in an online professional development system.  Content modules and individualized coaching help teachers develop the capacity to provide effective science instruction for students with significant cognitive disabilities. The overall design of the system engages teachers in a series of 5E learning cycles that provide experience with the same type of learning cycle they will implement with their own students.


A 5E-SESE website with more information is coming soon.

The Enhanced Learning Maps (ELM) project provides standards-focused materials that foster the conditions for improving student achievement, including online tools deliberately designed to support and inform personalized learning. These tools encourage interactions that elicit evidence of student thinking, leading to conversations that engage students and teachers in the formative assessment process. Learning map models illustrate the connections among concepts and skills that students need to construct; instructional activities suggest ideas for teaching; and solution guides provide insights for diagnosing misconceptions and informing next steps in learning.

Visit Enhanced Learning Maps for more information.

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