Knewton Alta
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Mastery-based adaptive learning that identifies and bridges knowledge gaps in real-time.
Knewton Alta is a sophisticated, data-driven adaptive learning platform designed primarily for higher education disciplines including Mathematics, Statistics, Chemistry, and Economics. Its technical architecture is built upon a proprietary knowledge graph that maps thousands of learning objectives and their interdependencies. Unlike static digital textbooks, Alta utilizes Item Response Theory (IRT) and machine learning to analyze student performance at a granular level. When the system detects a knowledge gap, it provides 'just-in-time' remediation by serving prerequisite instructional content—such as targeted videos or text—before returning the student to the primary learning objective. By 2026, Alta has refined its predictive analytics to identify 'at-risk' students within the first two weeks of a semester. The platform is fully LTI (Learning Tools Interoperability) compliant, allowing for seamless integration into enterprise Learning Management Systems like Canvas, Blackboard, and Moodle. Its market position is defined by its commitment to affordability and accessibility, offering a robust alternative to high-cost traditional publishing models while maintaining rigorous academic standards through its partnership with Wiley.
✅ Good fit for
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Paid
Alta Single Term
$44
Alta Pass
$80
Institutional License
Custom
✅ What we love
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What happens if a student can't achieve mastery?
Alta will eventually suggest the student contact their instructor if it detects they are stuck in a persistent failure loop despite remediation efforts.
Is Knewton Alta compatible with mobile devices?
Yes, Alta is fully responsive and functions on tablets and smartphones via a standard web browser.
Does it support Open Educational Resources (OER)?
Yes, many Alta courses are built using high-quality OER content to keep costs low for students.
How does Alta handle partial credit?
Alta is mastery-based; points are typically awarded for completing the learning objective rather than per-question, though settings vary by instructor.
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