Adaptive Learning
What Is Adaptive Learning?
An educational approach that uses AI and algorithms to adjust content, pacing, and difficulty in real time based on individual student performance and learning patterns. Adaptive learning platforms create personalized pathways that help each student focus on areas where they need the most practice.
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Related Terms in EdTech
Intelligent Tutoring System (ITS)
A computer-based system that uses AI to provide personalized, one-on-one instruction and feedback to students without requiring a human tutor. ITS platforms model student knowledge, identify misconceptions, and adapt their teaching strategies accordingly to optimize learning outcomes.
Learning Management System (LMS)
A software platform used to create, deliver, manage, and track educational courses and training programs. Modern LMS platforms increasingly integrate AI features for personalized content recommendations, automated grading, and predictive analytics to identify at-risk students.
EdTech
Short for educational technology, EdTech refers to the use of digital tools, software, and platforms to enhance teaching and learning experiences. The EdTech industry encompasses everything from learning management systems and AI tutors to virtual reality classrooms and educational apps.
Learning Analytics
The measurement, collection, analysis, and reporting of data about learners and their contexts to understand and optimize learning outcomes. AI-driven learning analytics can predict student performance, identify at-risk learners early, and provide actionable insights to educators.
Open Educational Resources (OER)
Teaching, learning, and research materials that are freely available for anyone to use, adapt, and redistribute under open licenses. AI is enhancing OER by enabling automatic translation, content summarization, adaptive sequencing, and quality assessment of open materials at scale.