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

通过NSF创新团队学习计划（I-Corps L），该项目将开发方法，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。许多学生都是视觉学习者，这意味着他们更喜欢通过视觉资源信息来学习，如图片，图表，图表和其他图像。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。这项工作将扩大使用视觉测验软件称为“认识。“Recognize创造了视觉测验，是专为完全非语言的教育和治疗。这种方法类似于命名音乐片段的音频模拟。 在使用过程中，Recognize会缓慢地显示一个图像（视觉问题），该图像与其他几个图像（视觉答案）中的一个相匹配。可以通过添加更多像素、减少模糊或其他方法来执行显露。例如，当阿尔伯特·爱因斯坦的照片分辨率逐渐提高时，理科学生可能会从其他几位科学家的照片中挑选出一张不同的爱因斯坦照片。在我们这个日益视觉化的社会中，熟练的视觉传达至关重要。该方法还在多语言学习环境中提供了好处。Recognize的视觉纯度具有改善科学，技术，工程和数学教育的视觉学习方面的潜力。此外，由于测验形式的吸引力，学生也可能会发现使用Recognize学习很愉快，从而在学习任务中坚持更长时间。Recognize的一个关键功能是教师和教师能够编写视觉测验和作业，并自定义测验参数。 学生有可能使用Recognize为自己或其他学生创建学习材料。 几个特点联合收割机结合起来，使Recognize作为教学和学习工具具有独特的潜力。最重要的是，当其他交互式视觉测验软件应用程序提出视觉问题时，Recognize也需要视觉答案。这种图像化的方法使它在自然科学和行为科学的教学中，以及在各种认知和社会疗法中有着特殊的前景。此外，Recognize将允许教师上传，改进，评论和分享视觉测验内容，使他们更容易将视觉融入教学。最后，Recognize即使在教育环境之外也是引人注目和引人入胜的，提供了超越Recognize当前教育使命的可能应用。使用I-Corps for Learning计划，将开发各种方法，使这种视觉学习工具更容易实施和维持，使教育工作者能够找到，创作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.