EXP: Collaborative Research: PerSketchTivity- Empowering and Inspiring Creative, Competent, Communicative, and Effective Engineers through Perspective Sketching

EXP：协作研究：PerSketchTivity - 通过透视草图赋予和启发有创造力、有能力、善于沟通和高效的工程师

• 批准号: 1441291
• 负责人: Julie Linsey
• 金额: $ 18万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1441291&HistoricalAwards=false
• 关键词: EXP; Collaborative; Research; PerSketchTivity; Empowering

The Cyberlearning and Future Learning Technologies Program funds efforts that will help envision the next generation of learning technologies and advance what we know about how people learn in technology-rich environments. Cyberlearning Exploration (EXP) Projects explore the viability of new kinds of learning technologies by building examples and studying their possibilities for fostering learning as well as challenges to using them well. This project examines whether technology can support learning to freehand sketch. Sketching has been demonstrated to play an important role in a number of domains, including engineering, and the ability to quickly sketch has been shown to improve creativity by making it easier for engineers to generate ideas and communicate them. This project will modify artificial intelligence tools that support recognizing sketches to directly help teach undergraduate engineers how to sketch well. Research studies will examine whether the tool helps students learn sketching skills, and importantly how it influences their spatial reasoning ability. Thus, if successful this research will not only create tools to allow people to learn to sketch better, but also will advance our understanding of how spatial reasoning and sketching are linked, and could eventually lead to more effective engineering education.The project proposes two interconnected strands of work: developing the software tool and conducting research studies in the context of undergraduate engineering courses. The software tool will use a heterogenous set of classifiers to help provide feedback to learners as they perform a sequence of sketching exercises on tablets. The design process will iterate on the tool to explore what types of feedback are most helpful and how different classifiers can be used to detect different levels of sketching skill. The program of research will include studying whether sketching training leads to advances in spatial reasoning skills, whether it affects design self-efficacy and attitudes towards sketching, transfer of spatial skillsets to design activities in other courses, and how sketching skills correlate to success on spatial reasoning tasks. In addition, through iterative development including user-centered design processes, design principles for sketching based tools will be derived. Data sources will include both qualitative and quantitative data such as pre- and post-test spatial reasoning tasks, structured interviews, surveys, and artifact analysis. Additionally, students (N=approximately 30-40) using the new tool in class will be compared to control cohorts of approximately 30 students who either use traditional engineering curricula (little free-hand sketching and some isometric drawing) and a sketching curriculum without the AI tool.

网络学习和未来的学习技术计划资助的工作将有助于设想下一代学习技术，并促进我们对人们在技术丰富的环境中学习的了解。网络学习探索（EXP）项目通过构建示例并研究培养学习的可能性，探索新型学习技术的生存能力，以及良好使用它们的挑战。该项目研究了技术是否可以支持学习徒手草图。已证明素描可以在包括工程在内的许多领域中发挥重要作用，并且可以通过使工程师更容易生成想法和传达这些想法来快速素描能够提高创造力。该项目将修改人工智能工具，该工具支持识别草图，以直接帮助教科本科工程师如何素描。研究研究将检查该工具是否帮助学生学习草图技能，重要的是它如何影响其空间推理能力。因此，如果成功的研究不仅将创建工具，以使人们学习更好地绘制素描，而且还将促进我们对空间推理和素描如何联系在一起的理解，并最终可能导致更有效的工程教育。该项目提出了两项​​相互联系的工作链：开发软件工具和在小学课程的背景下进行研究。该软件工具将使用一组异质的分类器集来帮助学习者在平板电脑上执行一系列素描练习时向他们提供反馈。设计过程将迭代该工具，以探索最有帮助的反馈类型，以及如何使用不同的分类器来检测不同级别的草图技能。研究计划将包括研究素描培训是否导致空间推理技能的进步，是否影响设计自我效能感和对素描的态度，将空间技能转移到其他课程中设计活动以及素描技能与空间推理任务的成功相关。 此外，通过迭代开发，包括以用户为中心的设计过程，将得出用于草图工具的设计原理。数据源将包括定性和定量数据，例如测试前和测试后的空间推理任务，结构化访谈，调查和工件分析。此外，将使用课堂上的新工具的学生（n = 30-40）将大约30名使用传统工程课程（Little Freefrand Shuptrys shuptring and Some Arimetrictric绘图）和没有AI工具的素描课程进行比较。