What individualized learning means

Individualized learning (sometimes referred to as 'personalised learning' or 'differentiated learning') is about tailoring instruction, pace, and pathways to each learner’s strengths, needs, and learning preferences. Instead of a one-size-fits-all approach, the goal is to:

• Meet learners where they are (whether to remediate gaps or enrich advanced learners).
• Support different learning modalities (visual, auditory, motor, and language).
• Adapt pacing so that learners can move faster or slower as needed.
• Provide accessibility for learners with specific disabilities or capabilities.

How Learnosity supports individualized learning

Learnosity supports individualized learning in the following ways:

• Adaptive Assessment & Item Banking
  • Educators can design item banks with Questions at multiple difficulty levels.
  • Using adaptive pathways, students receive items that adjust in complexity based on performance. This ensures struggling learners aren’t overwhelmed, while advanced students are challenged.
• Accessibility by Design (WCAG 2.1 / Section 508 / Section 255 Compliant)
  • Screen reader support, keyboard navigation, and ARIA labels.
  • Alt text for images, accessible math rendering (via MathJax, MathLive, and speech-enabled math input).
  • Color contrast and resizable text ensure inclusivity for low-vision learners.
• Math-Specific Questions and Features for All Levels
  • MathQuill & MathLive input fields allow learners to enter math the way they naturally write it.
  • Handwriting capture and recognition lets younger learners or those with motor impairments express math without struggling with syntax.
  • LaTeX support is available for advanced students and STEM learners.
• Customization of Content Delivery
  • Teachers can configure Question types, hints, scaffolding, and partial credit.
  • Learners can receive immediate feedback or delayed feedback, depending on instructional design.
  • Multiple language support enhances inclusivity.
• Data-Driven Insights
  • Fine-grained reporting highlights learner strengths and weaknesses at skill level.
  • Enables targeted intervention (extra practice for one student, enrichment for another).
  • Data can flow back into an LMS or adaptive engine to refine personalised learning plans.
• Universal Design for Learning (UDL) Principles
  • Multiple means of representation: text, audio, video, interactive diagrams.
  • Multiple means of expression: typed responses, spoken answers, math handwriting.
  • Multiple means of engagement: gamified assessments, progressive hinting, adaptive scoring.
• Support for Different Learning Contexts
  • Formative assessment for ongoing feedback.
  • Summative assessment with accommodations.
  • Practice activities where learners can retry until mastery.

Learnosity doesn’t just deliver tests, it provides flexible assessment capabilities that teachers and learning platforms can configure to create personalized, accessible, and adaptive learning journeys.