The term digital learning (adaptive learning or personalized learning) can refer to a broad range of services, tools, and curricular models designed to create individualized learning for students. The concept intersects—and overlaps—with notions including adaptive learning, courseware, differentiated instruction, competency-based education, and analytics. The 2017 ELI 7 Things You Should Know About Adaptive Learning describes it this way:

Adaptive learning is one technique for providing personalized learning, which aims to provide efficient, effective, and customized learning paths to engage each student. Adaptive learning systems use a data-driven—and, in some cases, nonlinear—approach to instruction and remediation

 

Recent Spotlight

  • Empowering Students and Faculty in the AI Loop

    Empowering Students and Faculty in the AI Loop

    Sophie and Jenay discuss student and faculty perspectives on artificial intelligence (AI) in teaching and learning with undergraduate student Jo Trotechaud and faculty member John Crow. Recorded live at the 2025 EDUCAUSE Annual Conference in Nashville, the conversation explores a range of perspectives on responsible AI use in teaching and learning and how to bridge divisions within higher education institutions.

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