Department of Geoscience, University of Wisconsin-Madison.
T.J. Watson Research Center, IBM.
Top Cogn Sci. 2017 Oct;9(4):943-969. doi: 10.1111/tops.12291. Epub 2017 Sep 23.
Research from cognitive science and geoscience education has shown that sketching can improve spatial thinking skills and facilitate solving spatially complex problems. Yet sketching is rarely implemented in introductory geosciences courses, due to time needed to grade sketches and lack of materials that incorporate cognitive science research. Here, we report a design-centered, collaborative effort, between geoscientists, cognitive scientists, and artificial intelligence (AI) researchers, to characterize spatial learning challenges in geoscience and to design sketch activities that use a sketch-understanding program, CogSketch. We developed 26 CogSketch worksheets that use cognitive science-based principles to scaffold problem solving of spatially complex geoscience problems and report observations of an implementation in an introductory geoscience course where students used CogSketch or human-graded paper worksheets. Overall, this research highlights the principles of interdisciplinary design between cognitive scientists, geoscientists, and AI researchers that can inform the collaborative design process for others aiming to develop effective educational materials.
认知科学和地球科学教育的研究表明,草图可以提高空间思维能力,有助于解决空间复杂问题。然而,由于需要时间来评分草图以及缺乏整合认知科学研究的材料,草图在地球科学入门课程中很少实施。在这里,我们报告了一项由地球科学家、认知科学家和人工智能(AI)研究人员之间以设计为中心的合作努力,旨在描述地球科学中的空间学习挑战,并设计使用草图理解程序 CogSketch 的草图活动。我们开发了 26 个 CogSketch 工作表,这些工作表使用基于认知科学的原理来支撑空间复杂地球科学问题的解决,并报告了在一门地球科学入门课程中实施的观察结果,学生在该课程中使用了 CogSketch 或人工评分的纸质工作表。总的来说,这项研究强调了认知科学家、地球科学家和 AI 研究人员之间跨学科设计的原则,这可以为其他旨在开发有效教育材料的人提供协作设计过程的信息。