Intelligent Learning With CCKF’s RealizeIt API

Candice McMillan, September 4th, 2012

CCKF RealizeItLearners are unique individuals, and everybody processes information differently. The process of learning in groups and at a general pace isn’t always beneficial for the majority. This is where platforms like RealizeIt make modern learning methods even more efficient. With the CCKF RealizeIt API this platform can be easily integrated into existing systems.

RealizeIt was born out of CCKF’s vision to create a personalized, adaptive learning experience that aids students, teachers and parents. The system is made up of the following key components:

  • A sophisticated process that determines a student’s initial level of knowledge
  • A process of identifying varying ability measures
  • An intelligent engine that adjusts a student’s learning path in real time
  • Profiling of content and learner capability

RealizeIt benefits the learner by identifying learning achievement and selecting suitable content and learning pathways that best meet the learner’s capabilities. RealizeIt also constantly monitors its decisions, learning about itself as well as the student with the aim of producing more effective results.

Instructors benefit by having the means to manage a group of learners that may have different levels of performance. In addition, instructors can set objectives and let the system identify any learner issues on the way to achieving these objectives.

RealizeIt was created to provide publishers, professional bodies and educational institutions with an engine that can enrich, enhance and customize static teaching material.

The system exposes its core engine as a web service via the RealizeIt API, enabling third party developers to integrate it into their own applications.

Learners are unique individuals, and everybody processes information differently. The process of learning in groups and at a general pace isn’t always beneficial for the majority. This is where platforms like RealizeIt are making modern learning methods even more efficient.

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