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)，该项目将开发方法，帮助教师更容易地将视觉图像识别作为其教、学和评估策略的一部分。许多学生是视觉学习者，这意味着他们优先通过视觉来源学习信息，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一直是有限的，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“Recognition”的视觉测验软件的使用。Recognition创造了视觉测验，完全是为非语言教育和治疗而设计的。这种方法类似于为一段音乐命名的音频模拟。在使用中，Recognition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示。例如，随着阿尔伯特·爱因斯坦的照片分辨率逐渐提高，理科学生可能会从其他几位科学家的照片中挑选一张不同的爱因斯坦照片。在我们日益增长的视觉社会中，熟练的视觉交流是至关重要的。该方法还在多语言学习环境中提供了好处。Recognition的视觉纯洁性具有改善科学、技术、工程和数学教育的视觉学习方面的潜力。此外，由于测验形式的引人入胜的性质，学生也可能会发现识别学习是一种享受，因此在学习任务中坚持的时间更长。Recognition的一个关键功能是教职员工和教师能够编写可视化的测验和作业，并定制测验参数。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，赋予了认可作为一种教和学工具的独特潜力。最重要的是，虽然其他交互式视觉测验软件应用程序会提出视觉问题，但Recognition也需要视觉答案。这种图解的方法使它在教授自然科学和行为科学以及各种认知和社会疗法方面具有特殊的前景。此外，Recognition将允许教师上传、改进、评论和共享视觉测验内容，使他们更容易将视觉效果融入他们的教学。最后，即使在教育环境之外，Recognition也是令人信服和引人入胜的，它提供了超越Recognition当前教育使命的可能应用。利用i-Corps for Learning计划，将开发方法，使这一可视化学习工具能够更容易地实施和持续，使教育工作者能够找到、编写和改进符合其教学需求的可视化测验。

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.