Remember It All

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    Notes on slide 1

    Mobile application Cue student’s memory Different cue types Track progress Revision period People: Students, primarily undergraduate students aged 18-23 (younger A level/older postgrad as secondary populations) Form of Solution: Mobile application that cues student’s memory with a variety of cue types and tracks user’s progress throughout revision period                   Perform activity: revise and remember course content for exam                       Context: During stressful, time-constrained exam period                                          Target: To remember more course content for exam and to track progress

    Better understanding of study methods

    Interviews revealed some confusion about terms Design critique revealed different study and learning styles Nintendo DS Brain Training gave inspiration for game-like interaction and experience

    Ideas about Visualization Lo-fi prototype sketches

    Interviews revealed some confusion about terms Design critique revealed different study and learning styles Nintendo DS Brain Training gave inspiration for game-like interaction and experience

    Favorites, Groups & Events

    Remember It All - Presentation Transcript

    1. Remember It All Device: The Study Buddy Boon, Kyriakos, Mark, Darci
    2. Background Research
      • 2.3 million students in the UK (higher ed)
      • Increasing use of mobile devices
      • Different learning styles
      • Game heuristics
      • iPhone Applications Guidelines
    3. Problem Statement “ Students need to revise and remember course content during the stressful exam period, remembering more information and tracking how much they have done ”  
    4. Features
      • Mobile
      • Support for different topics
      • Support for different learning styles
      • Different cue types
      • Progress Tracking
    5. Sketches
    6. Focus Groups
    7. Feedback from Focus Groups
        • Changes to terminology
        • Better understanding of study habits
    8. Primary Persona: Sue Alley
    9. Secondary Persona: Rajiv Kapoor Rajiv Kapoor Third Year Biology Student 22 years old Originally from Chennai, India Working Towards final exams Works hard, but could do more “ Yeah, I can’t come out tonight. Population Genetics revision to do!”   Background Information   Rajiv came to the UK three years ago to study Biology at a major UK university. In London. Just off Russell Square. Despite being pressured to take Biology by his parents (Rajiv preferred Psychology), Rajiv enjoys his course. However, he doesn’t work as hard as he could, with the social aspects of student life occasionally distracting him - a night out here and there and a morning or so to recover. Nevertheless, Rajiv is on course for a good 2:1, although he is no longer motivated by the hope of getting a 1:1. Rajiv is thus currently preparing for his final exams.   Key Goals   2:1 for his degree; work hard on his final 4 exams. create and stick to a revision plan. motivate himself to focus on the course, not on socialising.   Revision and Exams   Rajiv prefers his information to be broken down into a coherent, logical structure, loathing the comparative chaos of mind-maps. To this end, his notes reduced into structured as itemised lists of discrete (but grouped) facts, as opposed to organised in more visual diagrams. Rajiv has badgered his lecturers for information on the content of the exam, and, now having a good idea of the exam content, will structure and scope his revision appropriately. Rajiv rehearses these lists repeatedly, monitoring his progress and ensuring that he is covering the content in good time. Whilst Rajiv doesn’t spend all of his time revising before the test (occasionally meeting friends) he does work for many hours before the exam, and feels confident that he will do well.
    10. Low-Fidelity Prototypes Study Buddy Physics Progress   Study Buddy Physics Test Quiz Progress Course Settings Edit Course
    11. Feedback
        • Application flow
        • Changes to terminology
        • Progress tracking
    12. Platforms
    13. High-Fidelity Prototype
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