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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.
Knewton Alta is a sophisticated, data-driven adaptive learning platform designed primarily for higher education disciplines including Mathematics, Statistics, Chemistry, and Economics.
Explore all tools that specialize in personalized remediation. This domain focus ensures Knewton Alta delivers optimized results for this specific requirement.
Uses real-time data to inject prerequisite content (videos/text) precisely when a student fails to demonstrate mastery of a dependent objective.
A graph-based database that tracks relationships between thousands of micro-concepts across the STEM curriculum.
ML algorithms analyze engagement patterns and mastery speed to flag students likely to fail early in the term.
Engineered for accessibility including screen reader optimization and keyboard-only navigation.
Deep integration with LMS gradebooks, rosters, and assignment linking using the latest IMS Global standards.
Assignments do not end after a fixed number of questions; they conclude only when the student proves objective mastery.
Curates and adapts high-quality OER content into the adaptive engine.
Instructor account creation via official Wiley/Knewton portal.
Course shell selection from the Alta catalog (e.g., College Algebra, General Chemistry).
Customization of learning objectives to align with the specific syllabus.
Generation of LTI credentials (Consumer Key and Shared Secret).
Integration with campus LMS (Canvas, Blackboard, Moodle, or Brightspace).
Setting up Deep Linking for specific assignments or mastery assessments.
Configuring gradebook synchronization parameters (Total points vs. Percentage).
Student enrollment via LMS click-through or unique course invite link.
Diagnostics phase where students complete initial 'Warm-up' assessments.
Instructor review of the initial Performance Dashboard to identify early outliers.
All Set
Ready to go
Verified feedback from other users.
"Highly praised for its ability to lower the barrier to entry for difficult STEM subjects and its affordable price point compared to Cengage or Pearson. Some students find the 'mastery' requirement frustrating if they get stuck in a remediation loop."
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Accelerate your fashion career with certificate-led learning from Parsons and Teen Vogue.

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