Promoting Students' Data Literacy through the Creation of Interactive Multimodal Representations of Biometric Data

这个项目将促进高中生的数据素养，让他们学习量化的自我--使用技术来跟踪和反思自己的生物、行为、身体和/或情感数据的实践。学习活动将旨在激发人们对科学的广泛兴趣，并帮助学生就人类生成的数据在公共生活中的作用形成明智的看法。为了实现这一目标，该项目将开发和测试软件工具以及课程和专业发展材料，学生和教师可以使用这些材料来探索、分析和创建由可穿戴生物传感设备记录的新颖、多模式和交互的数据表示。学生将学习如何通过STEM实践活动捕获和解释来自他们身体的数据，其中包括创建交互式数据表示法。学生将设计和执行小型探索项目来回答他们自己的问题，并创建线下和在线文物来交流他们的发现。学生将参与讨论，考虑使用数据驱动的服务、应用程序和技术对隐私的影响，并批判性地评估他们的个人数据是如何被使用的。在项目期间和结束后，教师和学生将有机会与从事生物传感和可穿戴技术的行业合作伙伴联系，并访问与这些和相关数据技术领域相关的职业和大学准备资源。本项目将研究基于相关量化自我体验的交互式和多模式数据参与工具如何支持学生学习和参与数据、(神经)生物学和生物信息学。为实现这一目标，该项目将与教师合作，采用符合文化的参与式设计方法来设计工具和材料，以确保项目活动将吸引一系列学生的兴趣，并将促进参与STEM教育的公平。该项目还将研究行业/导师伙伴关系和在线平台如何帮助学习者在全人群模式下将自己的认知和行为联系起来，并建立对数据科学、生物学和生物信息学职业的认识。数据将通过调查、访谈和学生作品收集。分析方法将包括定性和定量方法，以了解项目对学生学习和参与的影响。该项目应对以下方面的普遍挑战：培养数据和科学素养，增加对STEM/ICT领域的参与，以及促进STEM/ICT劳动力和职业准备的公平。通过让学生创建新颖的多模式数据表示并评估他们自己的数据，该项目旨在使他们能够使用数据和科学作为工具，生成与他们有关的问题的知识，并考虑在数据相关领域的职业。该项目预计在项目学期内接触到25名教师、15名导师和400-600名学生，并通过开放源码软件和课程接触到更多的人。该项目由学生和教师创新技术体验计划(ITEST)资助，该计划支持建立对实践、计划要素、背景和过程的理解的项目，这些项目有助于提高学生对科学、技术、工程和数学(STEM)以及信息和通信技术(ICT)职业的知识和兴趣。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This project will promote data literacy in high school students by engaging them in learning about the Quantified Self -- the practice of using technology to track and reflect on one’s own biological, behavioral, physical, and/or emotional data. Learning activities will be designed to spark a broad interest in science and to help develop students’ informed opinions about the role of human-generated data in public life. To achieve this goal, the project will develop and test software tools as well as lesson and professional development materials with which students and teachers can explore, analyze, and create novel, multimodal, and interactive representations of data, recorded by wearable biosensing devices. Students will learn about how data from their bodies can be captured and interpreted through hands-on STEM activities that include the creation of interactive data representations. Students will design and execute small exploration projects to answer their own questions and create offline and online artifacts to communicate their findings. Students will engage in discussions that consider the privacy implications of using data-fueled services, applications, and technologies and critically evaluate how their personal data is being used. During and after the project, instructors and students will have opportunities to connect with industry partners who work with biosensing and wearable technologies, and to access career and college readiness resources relevant to these and related data technology fields.This project will study how interactive and multimodal data engagement tools, grounded in relatable Quantified Self experiences, can support students’ learning and engagement with and about data, (neuro)biology, and bioinformatics. To achieve this, the project will design tools and materials in collaboration with teachers using a culturally responsive, participatory design approach, to ensure that the project activities will appeal to a range of students' interests and that it will promote equity of participation in STEM education. The project will also examine how industry/mentor partnerships and an online platform can help learners contextualize their own cognition and behavior within population-wide patterns and build awareness of careers in data science, biology, and bioinformatics. Data will be collected through surveys, interviews, and student work artifacts. The analysis approach will include both qualitative and quantitative approaches to understand the impact of the project on student learning and engagement. This project addresses the pervasive challenges of building data and science literacy, increasing participation in STEM/ICT fields, and promoting equity in STEM/ICT workforce and career preparation. By engaging students in creating novel, multimodal data representations and evaluating their own data, the project aims to empower them to use data and science as tools for generating knowledge about issues that concern them and to consider careers in data-related fields. The project anticipates reaching 25 teachers, 15 mentors, and 400-600 students within the project term, and more via an open-source software and curriculum. This project is funded by the Innovative Technology Experiences for Students and Teachers (ITEST) program, which supports projects that build understandings of practices, program elements, contexts and processes contributing to increasing students' knowledge and interest in science, technology, engineering, and mathematics (STEM) and information and communication technology (ICT) careers.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.