Computing tools for learning and teaching data literacy

用于学习和教授数据素养的计算工具

• 批准号: RGPIN-2018-05072
• 负责人: Chevalier, Fanny
• 金额: $ 2.84万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=647506
• 关键词: Computing; tools; learning; teaching; data

Data literacy is a fundamental part of evidence-informed reasoning because it empowers individuals with the ability to understand, find, collect, interpret, visualize, and support arguments using data. Due to a lack of training in data literacy, people have limited ability to interpret data-centric reports, which can be a serious handicap since a great deal of valuable information is conveyed through statistical charts and data visualization. In an era where data is deemed to be the most valuable resource — "the oil of the digital era" — promoting data literacy is essential to cultivate an informed citizenry capable of critical thinking, reasoning, and knowledge-based decision making.******The human-computer interaction and visualization communities have a history of developing methods, tools, and technologies to support learners in acquiring various skills. While a plethora of tools have been designed to support users in collecting, manipulating, and interpreting data, less attention has been devoted to developing educational tools that support learners in creating foundations for life-long data literacy. A human-computer interaction approach could address this gap and have tremendous benefits in education practice, through the design, implementation, and evaluation of educational tools and interventions that leverage modern technologies, such as pen-and-touch, tangible and virtual and augmented reality user interfaces.******This research proposal supports my long-term research goals, which focus on the development of innovative technology-mediated data literacy educational programs. Toward these goals, I will focus on two main objectives:******(1) Basic data literacy: Defining and refining of a set of core skills and progression levels of data literacy, to characterize how individuals acquire data literacy and understand pedagogical strategies for instilling data literacy. Developing and evaluating innovative technology-mediated interventions to support data literacy training at an early age.******(3) Critical thinking: Defining and refining of a set of cognitive and perceptual biases, as well as visual distortion techniques that can undermine interpretation of data-driven reports. Developing and evaluating innovative technology-mediated interventions to support the teaching and learning of critical thinking with data.******This research proposal has the ambition and potential to yield significant advances from theoretical, technical, and empirical standpoints in computer science research by proposing new methods and tools supporting data literacy education at an early age. The outcomes of this program have the potential for near-term societal and long-term economical benefits derived from the development of tools aiming at developing individuals' critical and data-driven thinking, helping children to become informed citizens, and preparing them for careers in data science.

数据素养是循证推理的基本组成部分，因为它使个人能够理解，发现，收集，解释，可视化和支持使用数据的论点。由于缺乏数据素养培训，人们解释以数据为中心的报告的能力有限，这可能是一个严重的障碍，因为大量有价值的信息是通过统计图表和数据可视化传达的。在一个数据被认为是最有价值的资源的时代-“数字时代的石油”-促进数据素养对于培养能够进行批判性思维，推理和基于知识的决策的知情公民至关重要。人机交互和可视化社区有开发方法，工具和技术的历史，以支持学习者获得各种技能。虽然已经设计了大量的工具来支持用户收集，操作和解释数据，但很少关注开发教育工具，以支持学习者为终身数据素养奠定基础。人机交互方法可以解决这一差距，并通过设计，实施和评估利用现代技术的教育工具和干预措施，如笔和触摸，有形和虚拟以及增强现实用户界面，在教育实践中产生巨大的好处。这项研究建议支持我的长期研究目标，重点是创新技术介导的数据素养教育计划的发展。为了实现这些目标，我将专注于两个主要目标：******（1）基本数据素养：定义和完善一套核心技能和数据素养的进展水平，以描述个人如何获得数据素养并了解灌输数据素养的教学策略。开发和评估创新技术介导的干预措施，以支持早期数据素养培训。(3)批判性思维：定义和完善一系列认知和感知偏见，以及可能破坏数据驱动报告解释的视觉失真技术。开发和评估创新技术介导的干预措施，以支持教学和批判性思维与数据的学习。这项研究提案具有雄心和潜力，通过提出支持早期数据素养教育的新方法和工具，从计算机科学研究的理论，技术和经验角度取得重大进展。该计划的成果有可能产生短期社会和长期经济效益，这些效益来自于开发旨在发展个人批判性和数据驱动思维的工具，帮助儿童成为知情公民，并为他们在数据科学领域的职业生涯做好准备。