Change Makers: Crowdsolving the Energy Challenge through Cyber-Enabled Out-of-School Citizen Science Programs

变革者：通过网络支持的校外公民科学项目集体解决能源挑战

• 批准号: 1712676
• 负责人: Charles Xie
• 金额: $ 50万
• 依托单位: Concord Consortium
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1712676&HistoricalAwards=false
• 关键词: Change; Makers; Crowdsolving; Energy; Challenge

As part of its overall strategy to enhance learning in informal environments, the Advancing Informal STEM Learning (AISL) program funds innovative research, approaches and resources for use in a variety of settings. In this exploratory Change Makers project, the Concord Consortium will develop, test, and evaluate a citizen science program that leverages innovative technology, such that youth engage directly with energy issues through scientific inquiry. The project will create the Infrared Street View, a citizen science program that aims to produce a thermal version of Google's Street View using an affordable infrared camera attached to a smartphone. The infrared camera serves as a high-throughput data acquisition instrument that collects thousands of temperature data points each time a picture is taken. Youth will collect massive geotagged thermal data that have considerable scientific and educational value for visualizing energy usage and improving energy efficiency at all levels. The Infrared Street View program will provide a Web-based platform for youth and anyone interested in energy efficiency to view and analyze the aggregated data to identify possible energy losses. By sharing their scientific findings with stakeholders, youth will make changes to the way energy is being used. The project will start with school, public, and commercial buildings in selected areas where performing thermal scan of the buildings and publishing their thermal images for educational and research purposes are permitted by school leaders, town officials, and property owners. In collaboration with high schools and out-of-school programs in Massachusetts, this project will conduct pilot-tests with approximately 200 students. To contribute to advancing learning, the study will probe three research questions: 1) Under what circumstances can technology bridge out-of-school and classroom science learning and improve learning on both sides? 2) To what extent can unobtrusive assessment based on data mining support research and evaluation of student learning in out-of-school settings? and 3) To what extent can instructional intelligence built into the app used in the program help students learn in out-of-school programs and improve the quality of data they contribute to the citizen science project? Data sources for investigating these questions include students' interaction data with the app logged behind the scenes and the images they have taken, as well as results based on traditional assessments from a small number of participants. Throughout the project, staff will widely disseminate project products and findings through the Internet, science fairs, conferences, publications, and partner networks. An eight-member Advisory Board consisting of cleantech experts, science educators, and educational researchers will oversee and evaluate this project.

作为加强非正式环境中学习的整体战略的一部分，推进非正式STEM学习（AISL）计划资助创新研究，方法和资源，用于各种环境。 在这个探索性的变革者项目中，康科德联盟将开发，测试和评估一个利用创新技术的公民科学计划，使青年通过科学探究直接参与能源问题。 该项目将创建红外街景，这是一个公民科学计划，旨在使用连接到智能手机上的负担得起的红外摄像头制作谷歌街景的热版本。红外摄像机作为高通量数据采集仪器，每次拍摄照片时收集数千个温度数据点。青年将收集大量有地理标记的热数据，这些数据对可视化能源使用和提高各级能源效率具有相当大的科学和教育价值。红外街景计划将为年轻人和任何对能源效率感兴趣的人提供一个基于网络的平台，以查看和分析汇总数据，以确定可能的能源损失。通过与利益攸关方分享他们的科学发现，青年将改变能源的使用方式。该项目将从选定地区的学校，公共和商业建筑开始，在这些地区，学校领导，城镇官员和业主允许对建筑物进行热扫描并发布其热图像用于教育和研究目的。该项目将与马萨诸塞州的高中和校外项目合作，对大约200名学生进行试点测试。为了促进学习，本研究将探讨三个研究问题：1）在什么情况下，技术可以连接校外和课堂科学学习，并改善双方的学习？2)基于数据挖掘的非侵入性评估在多大程度上可以支持校外环境中学生学习的研究和评估？以及3）在多大程度上可以内置到该计划中使用的应用程序中的教学智能可以帮助学生在校外项目中学习，并提高他们为公民科学项目贡献的数据质量？调查这些问题的数据来源包括学生与后台记录的应用程序的交互数据和他们拍摄的图像，以及基于少数参与者的传统评估的结果。在整个项目过程中，工作人员将通过互联网、科学博览会、会议、出版物和伙伴网络广泛传播项目产品和成果。一个由清洁技术专家、科学教育工作者和教育研究人员组成的八人咨询委员会将监督和评估该项目。

项目成果

How Does Augmented Observation Facilitate Multimodal Representational Thinking? Applying Deep Learning to Decode Complex Student Construct

• DOI: 10.1007/s10956-020-09856-2
• 发表时间: 2020-09
• 期刊: Journal of Science Education and Technology
• 影响因子: 4.4
• 作者: S. Sung;Chenglu Li;Guanhua Chen;Xudong Huang;Charles Xie;Joyce Massicotte;Ji Shen

Going through a phase: Infrared cameras in a teaching sequence on evaporation and condensation

经历一个阶段：蒸发和冷凝教学序列中的红外摄像机

• DOI: 10.1119/1.5110665
• 发表时间: 2019
• 期刊: American Journal of Physics
• 影响因子: 0.9
• 作者: Samuelsson, Christopher Robin;Elmgren, Maja;Xie, Charles;Haglund, Jesper
• 通讯作者: Haglund, Jesper