Learning from Dynamic Visual Displays

从动态视觉显示中学习这个学习科学中心催化剂研究项目将在堪萨斯大学建立一个多学科研究中心，研究人类学习中的基本问题。该项目将利用认知科学家、自然科学家和教育专家的专业知识，他们将探索人们如何理解视觉展示和表征。使用KU学习研究中心和KU科学教育中心开发的各种学习工具和支持性环境，这项SLC催化剂项目将专注于研究特定类别的视觉表征，包括地图、在线动画和动画图形，以及虚拟三维环境。这项研究的目标包括建立一个广泛的跨机构研究团队，从各种动态视觉展示中深入研究视觉刺激和学习之间的联系。研究小组将整合人类感知、认知科学、教育和信息技术系统的方法，研究人类如何从复杂的图形和动态视觉显示中提取、理解和存储信息。试点研究将研究眼球运动如何与从静态显示(地图、图表和图表)和动态视觉显示(动画)获取和解释信息的过程联系起来。了解人类如何从视觉显示中获取信息，大脑如何处理这些信息，以及人类如何从不熟练的视觉信息解释者发展为专家，将指导研究团队改进这些视觉显示，以便它们更有效地支持学习。我们预计，这项研究计划的结果将改进用于学习的视觉显示的设计。我们期望这些改进将提供：--分享组织知识的新教学战略--更好地支持虚拟工作和学习环境发展的软件，--政府、企业和教育中知识资本转移的连续性，--支持知识生成而不是知识囤积的工具，以此作为经济增长和劳动力发展的途径，--缩短解决问题、产品开发和信息传播的周期时间，以及--更有效的在线学习评估战略。

Learning from Dynamic Visual DisplaysThis Science of Learning Center Catalyst research project will establish a multidisciplinary research center at the University of Kansas to study fundamental issues in human learning. The project will draw on the expertise of cognitive scientists, natural scientists and education specialists who will explore how people comprehend visual displays and representations. Using a variety of learning tools and supportive environments that have been developed by the KU Center for Research on Learning and the KU Center for Science Education, this SLC catalyst project will focus on the study of specific classes of visual representations including maps, online animations and animated graphics, and virtual three-dimensional environments.The objectives of this research include building a broad ranging, inter-institutional research team that will initiate in-depth study of the connection between visual stimulus and learning from a variety of dynamic visual displays. The research team will integrate approaches from human perception, cognitive science, education, and information technology systems to investigate how humans extract, apprehend, and store information from complex graphical and dynamic visual displays. Pilot studies will examine how eye motion is linked to processes of obtaining and interpreting information from static displays (maps, graphs and charts), and dynamic visual displays (animations). Understanding how humans acquire information from visual displays, how the mind processes that information, and how humans progress from unskilled interpreters of visual information to experts, will guide the research team in the improvement of these visual displays so that they more effectively support learning.We anticipate that outcomes of this research program will improve the design of visual displays used for learning. We expect these improvements to provide:-New instructional strategies for sharing organizational knowledge-Software that better supports the development of virtual working and learning environments,-Continuity in the transfer of knowledge capital in government, business and education,-Tools to support knowledge generation, rather than knowledge hoarding, as a pathway to economic growth and workforce development,-Reduced cycle time in problem resolution, product development and the dissemination of information, and-More effective strategies for online learning assessments.