We present the design and development of a Visual Learning Engine, a tool that can form the basis for interactive development of visually rich teaching and learning modules across multiple disciplines. The engine has three key features that makes it powerful and cross-disciplinary, (1) it is based on a finite state machine model, that supports concepts presented in any defined sequence, (2) instructional modules are designed and generated interactively using graphical interface widgets, facilitating non-programmers to use the system, and (3) ability to simultaneously present concepts and their visual representation that allows for a more intuitive and exploratory learning experience. We demonstrate a prototype of the learning engine by testing it on examples from Computer Science(sorting)algorithms, recursion) and Electrical Engineering (signal manipulations).
我们介绍了视觉学习引擎的设计和开发,该工具可以为跨多个学科的视觉丰富的教学模块的交互式开发奠定基础。该引擎具有三个关键特性,使其功能强大且具有跨学科性:(1)基于有限状态机模型,支持以任何定义的顺序显示的概念;(2)使用图形界面交互设计和生成教学模块小部件,以方便非程序员使用该系统,以及(3)同时呈现概念及其视觉表示的能力,从而提供更直观和探索性的学习体验。我们通过在计算机科学(排序)算法,递归)和电气工程(信号操纵)的示例中对其进行测试,从而展示了学习引擎的原型。 P>
机译:跨域视觉学习引擎,用于交互式生成教学材料
机译:指令和呈现率对视觉统计学习的交互作用
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机译:跨域视觉学习和隐私,检索和模型适应的应用
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机译:用于交互式生成教学材料的跨域视觉学习引擎