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Brainvisa Announces Beta Launch of RapideL Discover 1.0 - RapideL, the rapid e-learning authoring suite innovated by Brainvisa has now launched the beta version of RapideL Discover 1.0
Brainvisa Announces Beta Launch of RapideL Discover 1.0

 

PRZOOM - /newswire/ - Pune, Maharashtra, India, 2007/04/03 - RapideL, the rapid e-learning authoring suite innovated by Brainvisa has now launched the beta version of RapideL Discover 1.0.

   
 
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RapideL Discover enables rapid creation of non linear e-learning from the easy to use MS Word. RapideL Discover provides support for building simple branching courses using an intuitive interface to build the branching logic. It will also provide interactive and non interactive flash templates for creating these branched courses. This tool will help Instructional Designers, Subject Matter experts and even Professors/teachers to create courses based on Adaptive Learning, dialogue driven, conversational learning or any e-Learning technique which navigates through the course depending upon the choice selected by the learner. This will provide a chance for users to discover new ways of teaching and for learners to discover their learning path as they communicate with their courses.

"RapideL Discover is an outcome of our objective to make training and learning an enjoyable experience - One in which learners actually learn and retain information at a much higher rate. There is a striking need in Instructional Design to focus on the engagement technique as well as content. And these techniques are often perceived as complex. RapideL Discover is extremely easy to use and will enable any content developer to create non linear elearning without the knowledge of programming.
With RapideL Discover, branched eLearning will be possible at half the development time and cost." says Regy Pillai, Product Manager, RapideL.

RapideL, the Rapid eLearning suite developed by Brainvisa enables Instructional Designers and SMEs to author content in the basic MS-Word authoring interface and create engaging eLearning courses in Flash. Brainvisa's RapideL is also enabled with support for language localization and supports up to 22 languages. It supports European and Asian languages. Hence, it is possible to create multilingual versions of the same course using RapideL. RapideL supports languages like German, French, Italian, Spanish, Chinese, Japanese and many more. The suite contains two products- RapideL Enhance 3.1 and RapideL Discover 1.0

About Brainvisa

Based out of US, UK, Australia and India, Brainvisa is one of the fastest growing learning solutions companies. Incorporated in 2000, it has been consistently growing at a rate of over 100% and today is a 400+ people company with two state-of-the-art development centers in India. Brainvisa offers end-to-end blended learning solutions which includes Consulting & Training Needs Analysis, Design and Development, Deployment and Maintenance. Brainvisa has helped Fortune 1000 clients to achieve competitive advantage through increased sales, improved productivity, reduced time to market, improved employee retention and reduced training time.
Brainvisa's team consists of professionals in the fields of learning consulting, HR consulting, instructional design, graphic design, and multimedia programming. This well honed team has developed over 15000 hours of eLearning, over 1500 hours of ILT and over 300 calendar days of blended learning for the clientele spread across US, Europe, and the Asia Pacific region. Brainvisa's Technology solutions helps their clients centrally manage the Human Capital performance, track current competency levels, gaps thereby reduce gaps and enhance productivity. The company has to its credit, accolades won from Brandon Hall for its solutions.
Kineo, a UK based eLearning consultancy and research firm recently evaluated Brainvisa's RapideL as a part of their latest research on rapid eLearning tools.

 
 
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Brainvisa Announces Beta Launch of RapideL Discover 1.0

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Contact: Meghna Motiani - Brainvisa.com 
+91 98 60008469 meghna.motiani[.]brainvisa.com
 
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