I-Corps L: Recognize- an application to support visual learning

通过美国国家科学基金会创新团队学习计划（I-Corps L），该项目将开发帮助教师更容易地利用视觉图像识别作为其教学、学习和评估策略的一部分的方法。许多学生是视觉学习者，这意味着他们优先通过图像、图形、图表和其他图像等视觉来源信息进行学习。帮助教师有效地吸引视觉学习者的资源是有限的，不包括一些基于文本的信息的纯视觉交流仍然没有得到充分利用。这项工作将扩大名为“识别”的视觉测验软件的使用。它创建了视觉测验，完全是为非语言教育和治疗而设计的。这种方法类似于为音乐片段命名的音频模拟。在使用中，“识别”会慢慢地显示出与其他几个图像（视觉答案）中的一个相匹配的图像（视觉问题）。可以通过添加更多像素、减少模糊或其他方法来执行显示。例如，随着阿尔伯特·爱因斯坦（Albert Einstein）的照片分辨率逐渐提高，理科生可能会从其他几位科学家的照片中选择一张不同的爱因斯坦照片。在我们日益视觉化的社会中，熟练的视觉传达是至关重要的。这种方法在多语言学习环境中也有好处。在科学、技术、工程和数学教育的视觉学习方面，recognition的视觉纯洁性具有改善的潜力。此外，由于测试形式的吸引力，学生也可能会发现用Recognize学习是愉快的，因此在学习任务中坚持的时间更长。recognition的一个关键特点是教师和教师能够编写可视化测验和作业，并自定义测验参数。学生有可能使用recognition为自己或其他学生创建学习材料。几个特点结合在一起，赋予了识别作为教学和学习工具的独特潜力。最重要的是，当其他交互式可视化测验软件应用程序提出可视化问题时，recognition也需要可视化答案。这种图形化的方法使它在自然科学和行为科学的教学以及各种认知和社会疗法中具有特殊的前景。此外，recognition将允许教师上传、改进、批评和分享视觉测验内容，使他们更容易将视觉效果融入教学中。最后，即使在教育环境之外，recognition也具有吸引力和吸引力，它提供了超越当前教育使命的可能应用。使用I-Corps for Learning项目，将开发方法，使这种视觉学习工具更容易实施和持续，使教育者能够发现、编写和改进符合其教学需求的视觉测验。

Through the NSF Innovation Corps for Learning Program, (I-Corps L), this project will develop ways to help faculty to more easily utilize visual image recognition as part of their teaching, learning and assessment strategies. Many students are visual learners, which means they preferentially learn through visual sources information such as pictures, graphs, diagrams, and other images. Resources for helping faculty to effectively engage visual learners have been limited and purely visual communication that does not include some text-based information remains underutilized. This work will expand the use of visual quiz software called "Recognize." Recognize creates visual quizzes and is designed for completely non-verbal education and therapy. The approach is similar to the audio analog of naming a snippet of music. In use, Recognize slowly reveals an image (the visual question) which is matched to one of several other images (the visual answer). The reveal may be performed by adding more pixels, reducing blur, or other methods. For example, as a picture of Albert Einstein gradually increases in resolution, science students might pick a different picture of Einstein from among pictures of several other scientists. In our increasingly visual society, skillful visual communication is crucial. The approach also offers benefits in multilingual learning environments. Recognize's visual purity has potential for improving visual learning aspects of science, technology, engineering, and mathematics education. Moreover, because of the engaging nature of the quiz format, students may also find learning with Recognize enjoyable thus persisting longer in learning tasks. A key feature of Recognize is the ability of faculty and teachers to compose visual quizzes and assignments and to customize quiz parameters. Students have the potential of using Recognize to create study materials for themselves or other students. Several characteristics combine to give Recognize unique potential as a teaching and learning tool. Most importantly, while other interactive visual quiz software applications pose visual questions, Recognize also requires visual answers. This pictorial approach gives it special promise for teaching the natural and behavioral sciences, and for a wide variety of cognitive and social therapies. Further, Recognize will allow instructors to upload, improve, critique and share visual quiz content, making it easier for them to incorporate visuals into their teaching. Finally, Recognize is compelling and engaging to use even outside the educational setting, offering possible applications beyond Recognize's current educational mission. Using the I-Corps for Learning program, approaches will be developed to enable this visual learning tool to be more easily implemented and sustained enabling educators to find, author, and improve visual quizzes that match their pedagogical needs.