The value of learning analytics

Personalizing learning depends on data. And more than that, it can depend on an educator’s ability to interpret data in order to tailor instruction for a student’s specific needs. But compiling and analyzing data for 25 or 30 students—never mind 300 to 500—can be a daunting task.

That’s where we can help. Compass Learning has partnered with leading nationally normed digital assessment providers to simplify the process and get assessment-based differentiated instruction to students faster. Our test translator tool imports test data, automatically transforms the data into individualized learning paths, and delivers fun, dynamic, high-quality digital instruction to students.

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Leveraging your assessment data

Students get exactly what they need when they need it, and teachers can breathe easier knowing that each student is engaged, supported, and accelerating along his or her own unique learning path.

See for yourself how Compass Learning integrates seamlessly with our assessment partners. Request a personalized demo today!

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Renaissance Learning STAR

Renaissance Learning STAR Assessments are computer-adaptive assessments that pinpoint proficiency and identify skills to accelerate student growth. Using a powerful test translator, Compass Learning transforms STAR results into  individualized learning paths with rigorous, research-based content for each student.

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Scantron® Performance Series®

Scantron Performance Series is a computer-adaptive assessment that recognizes student proficiency and suggests key learning objectives to accelerate student growth. Compass Learning and Scantron use sophisticated alignments to translate Performance Series data into individualized learning paths for each student.



Northwest Evaluation Association (NWEA) provides an assessment suite that identifies student proficiency and specifies appropriate learning goals. Compass Learning and NWEA align the NWEA MAP (Measures of Academic Progress) assessment and the Compass Learning digital progressions to automatically deliver to each student a personalized learning path based on RIT range at the sub-strand level.