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CARIBBEAN
FISH IDENTIFICATION

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    MASTER FISH IDENTIFICATION AT A WHOLE NEW LEVEL

    Whether you are a serious amateur diver or a professional dive master or dive instructor, diving in the Caribbean becomes more fun and rewarding when you improve your fish identification skills.

    Adaptive learning is a powerful method to learn fish identification. Rhapsode Fish ID™ will help you learn recognition of species at various levels of maturity – and from different angles - differentiate between similar species and even the scientific (latin) names of the species.

    Feedback

    All relevant stakeholders will receive feedback on the level of knowledge, the areas of improvement and the learning ability for each learner.

    Refresh

    The adaptive learning platform includes a refresh function as part of the learning process. With ongoing training, this helps the learner retain the skills at a minimal investment of time.

    MY RESEARCH LAB

    My name is Ulrik Juul Christensen. I am the CEO of Area9 Lyceum. I am also a passionate scuba diver, dive instructor and underwater photographer. Actually, my entire family dives – Christina (my wife) is also a dive instructor, Caroline (20) is a dive master and studies marine bio at Northeastern University and Elisabeth (15) started going with us on the dive boats before she was allowed to dive, but started at age 10 – and today has hundreds of dives - as well as the unofficial record for sleeping on dive boats.

    I am a profound believer in learning from solving problems or doing projects. When we kicked off the development of our fourth-generation adaptive platform, Area9 Rhapsode™, in the early 2018, I wanted to find a project that I could use as my test lab for our technologies – and that I was passionate about so I would spend some of my spare time on it.

    At the time, we had been diving in the Caribbean, Florida and Bermuda for some years. Like many other divers, I was stunned by the beauty and diversity of parrotfish. So it was obvious to start with a module on learning parrotfish recognition. During the last two years, both my wife and two daughters have joined the efforts and it has become a great collaboration that is now the target of most of our dive trips, and we have now extended the scope to include both indopacific and the pacific coast of latin and northern South America.

    R&D BREAK-THROUGHS

    This project has led to several R&D breakthroughs including three highly significant ones that allows subject matter experts to do highly advanced content curation without relying on programmers.

    ROBOTICS: Rhapsode Fish ID™ is based on the most advanced robotics technology in education, and this project that been the test bed for developing and maturing these technologies. Technologies that have much wider applicability to solve learning engineering challenges. To put it simply: Without the robotics, this project would have taken 10 – or maybe 20 times – longer to do the learning engineering – and now it has been possible to do alongside all my other responsibilities.

    ADVANCED IMAGE HANDLING: This project has pushed our ability to handle large bases of images in educational contexts. Both in terms of performance, but also in terms of the content curation.

    INTELLIGENT, RESPONSIVE TEMPLATES: In order to benefit even more from the robotics technologies, we decided late 2018 to embark on an ambitious project to make a technology that can automatically layout content across multiple platforms and screen sizes. The vast majority of learning resources in Rhapsode Fish ID™ are assembled by robots using this ‘adaptive slide’ technology.

    Features

    Identification details. Hudreds of details that are used both in learning resources, but also for nanoremediation that is adaptively generated when you miss an identification.

    Interactive tools. Understand the detailed development of many species and play with the vastly different appearance at the various maturity stages.

    Extensive learning resources. All species have extensive learning resources with pictures ov various development stages, distribution charts, depth charts and comparative analyses.

    Modules

    CREDITS

    Underwater Photography: Elisabeth Juul Ellervik, Caroline Juul Ellervik, Christina Ellervik (MD, PhD, DMSc) & Ulrik Juul Christensen (MD)
    Underwater Photography Gear: Reefphoto
    Fish Illustrations: Mia Meibom
    Learning Architect & Content Robots: Ulrik Juul Christensen (MD)
    Learning Engineers: Oleg Loshchagin (PhD), Elisabeth Juul Ellervik, Rebekka la Cour Hillingsoe, Ciera Babbrah, Menko van Hooydonk
    Intelligent Templates: Rodion Safonov
    Dive Support: Robyn Vincent (Dive Bermuda), Kwe’Shon L Woods-Hollis (Dive Bermuda), Brendon Le Febour (Dive Bermuda), Heinz Lauppi (Dive Bermuda), Guido Bachhausen (Caribbean Divers, Dominican Republic), Sandra Green (Force-E, Boca Raton), Tony Coulter (Diveboat Diversity, Boca Raton), Frank Slifka (Captain Hook’s), Diana Valderama (Bloop, Columbia), Fernando Cardona (Bloop, Columbia), Harry Gil Mora (Happy Dive Center, Dominican Republic)


    To launch the course, simply fill in your details here: