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Elsevier Introduces Adaptive Study Solution For Improved Learning And Memory Retention For Nursing And Health Professions

PHILADELPHIA, November 12, 2013 /PRNewswire/ --

Elsevier Adaptive Learning, powered by Cerego technology, combines brain science with patented algorithms for an individualized, more effective learning experience

Elsevier, a world-leading provider of scientific, technical and medical information products and services, today announced the launch of Elsevier Adaptive Learning, a personalized learning experience for nursing and health profession students that maximizes the efficacy and efficiency of learning, memory and retrieval of knowledge in an effort to improve learning outcomes.

Powered by technology from Cerego, a memory management tool with patented algorithms that apply scientifically researched principles, Elsevier Adaptive Learning will help nursing and health professions students acquire knowledge rapidly, maintain knowledge to a high degree of retention, and retrieve knowledge quickly and effortlessly throughout their education and into their clinical practice.

"Research into the workings of human memory is well understood but rarely makes its way into tools that students can actually use, and this is what we are committed to delivering," said Andrew Smith Lewis, Founder and Executive Chairman of Cerego. "Elsevier Adaptive Learning, powered by Cerego, provides an easy, intuitive and engaging way for students to learn faster and remember information longer, utilizing content derived from Elsevier's distinguished library of educational text."

This launch is part of a partnership between Elsevier and Cerego, centered upon meaningfully improving learning outcomes through powerful adaptive learning solutions.

Unique capabilities of Elsevier Adaptive Learning include:

  • High Performance: Most existing methods seek to train or teach declarative knowledge ("know how" not actual "how to" applicable knowledge) only to a level of recognition. The Cerego Method teaches at a level of automaticity instead of just recognition to prepare students for real world performance
  • Market-leading Content: Key content, concepts, objectives and images will be gleaned from each text and will be organized by chapter in the respective text
  • Cerego ' s Patented Algorithms: The underlying set of rules decide which items should be presented to users over the duration of their learning experience and calculates the optimal moments to review/receive these items to convert them to stored knowledge

Elsevier Adaptive Learning uses scientifically-based principles to determine an appropriate schedule for each student to learn and review, helping to ensure readiness for exams and long-term success in his or her professional field. Additionally, the solution emphasizes individualized learning, cognitive skills training and time management. Product features also include instructor and student performance dashboards with at-a-glance access to data on individual knowledge usage and retention at the course and item level, as well as a mobile app.

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