EAGER: SAVI: Dynamic Digital Text: An Innovation in STEM Education

这是由SAVI倡议支持的一项EAGER提案，该倡议正在研究用于可视化和数字化呈现STEM内容的知识组织技术，以吸引学生并产生深度学习。pi正在将他们的研究结果（以迭代的方式）应用于数字STEM内容的新呈现、交互和导航技术的开发，然后在围绕动态数字文本设计的基于探究的教学法的背景下评估这些数字工件。从长远来看，该团队设想了一种基于云的服务架构，允许随时随地根据需要访问动态数字内容，这些内容涵盖了中小学和大学水平的STEM教育的广泛主题，并与有效利用数字STEM内容的成熟教学法相结合。与芬兰研究人员的合作是这项工作的关键组成部分，因为该团队正在测试其理论框架，用于中学和大学的动态数字文本，内容包括科学和计算，芬兰语和英语。因此，这个项目是第一次尝试系统地评估基于领域知识的概念图组织的动态数字文本的使用和效用——跨越多个内容领域、学习者水平和文化。本着EAGER机制的精神，本项目具有探索性；虽然它的多面性在执行中存在风险，但这项工作有潜在的变革性回报，因为它可以为未来的动态数字文本奠定良好的技术基础。

This is an EAGER proposal supported under the SAVI initiative that is conducting research on knowledge organization techniques for visualizing and presenting STEM content digitally so as to engage students and engender deep learning. The PIs are applying the results of their research (in an iterative fashion) toward the development of new presentation, interaction, and navigation techniques for digital STEM content, and then evaluating these digital artifacts in the context of an inquiry-based pedagogy designed around dynamic digital text. In the long term, the team envisions a cloud-based service architecture that allows anytime, anywhere, and as-needed access to dynamic digital content covering an extensive set of topics for school and college level STEM education that is integrated with a proven pedagogy that makes effective use of digital STEM content. Collaboration with researchers in Finland is a key component of this work, as the team is testing its theoretical framework for dynamic digital texts with content in science and computing, for middle school and college, in Finnish and English. As such, this project is a first attempt to systematically evaluate the use and utility -- across multiple content domains, learner levels, and cultures -- of dynamic digital texts founded on concept map-based organizations of domain knowledge. In keeping with the spirit of the EAGER mechanism, this project is exploratory in nature; and while its multi-faceted nature presents risks in execution, there is a potentially transformative payoff to this work in that it can lay an excellent technological foundation for dynamic digital texts of the future.