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Time for Class 2023

June 2023

This 2023 study – the largest and longest running study monitoring digital learning in higher education – aims to identify the differences between student and institutional stakeholder experiences and preferences to suggest ways institutions and solution providers can address these differences.

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A Case Study of Adaptive Learning Technology in Science

October 2021

The study suggests that adaptive learning technology helped students who need support with prerequisite concepts, provided tools to help guide students through complex, multistep processes, gave faculty insights into concepts students were struggling with, and reduced the cost of course materials.