课题基金 / 基金详情

Scaling health and bioscience training technology to informal education

Scaling health and bioscience training technology to informal education
将健康和生物科学培训技术扩展到非正式教育
批准号:
10480970
负责人:
Resa Marie Helikar
金额:
$25.05万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-05-01 至 2023-10-31

项目摘要

项目成果

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中文摘要
翻译
项目总结/摘要 学生参与动手建模,实验设计和基于模拟的探索已经显示 推动学生学习生物学概念,使其更加复杂。模型开发的长期目标 它啊!是在所有K-12正式和非正式科学教育中整合计算模型和模拟。的 这种整合的基础是基于i)通过利用基于探究的和 建构主义学习环境,ii)通过让年轻人参与STEM技术, 可获得的,可实现的,并基于影响我们社区的生物过程-糖尿病,癌症,传染病 疾病,iii)并利用与学生一起成长的最先进的技术,因为他们增加了对 生物过程,计算建模和模拟,以及生命和健康科学的关键问题解决 问题.项目团队在教育领域扩展计算建模和模拟软件方面具有专业知识 以及与社区学习项目合作,培训项目负责人和促进者如何参与多样化的 非正式学习环境中的青年,以及如何在课后方案中利用技术。 对于第一阶段,项目小组建议开发模型它!原型,包括两个入门课程,每个 有5个级别的学生首先培养动手建模的技能,然后培养运行计算的技能。 模拟项目团队将培训来自我们的合作伙伴Beyond School Bells的课后项目主持人, 内布拉斯加州的全州扩大学习机会创新网络。主持人将邀请60名学生参加 课后STEM课程每周两到三次。主持人将在设计、测试和 迭代和部署Model It!以使其适合K-12青少年的年龄。主持人将提供 整个过程中的定性反馈,以及通过系统可用性量表(布鲁克, 技术接受模型(大卫,1989),计划行为理论(Ajzen,1991), 创新理论(罗杰斯,2003年)调查工具,旨在衡量技术的易用性。数据收集自两个 辅导员以及通过Model It!在学生与技术的互动中, 将用于进一步增强该技术的可用性和可扩展性。 对于第二阶段,项目小组将把课程从入门技能扩展到逐步更复杂的技能。 计算建模、模拟和数据分析模块。该团队还将专注于其他技术 可访问性,包括进一步游戏化的学习过程,支持触摸屏,并扩大内容, 包括生物医学和健康相关主题的其他角度(例如,季节性流感感染,酮饮食与 低脂饮食,免疫系统如何运作等)。
英文摘要
PROJECT SUMMARY/ABSTRACT Student engagement in hands-on model building, experimental design, and simulation-based exploration has been shown to propel student learning of biological concepts towards increasing complexity. The long-term goal in developing Model It! is to integrate computational models and simulations throughout all K-12 formal and informal science education. The foundation of this integration is based on the need to i) increase student science literacy by leveraging inquiry-based and constructivist learning environments, ii) broaden interest in STEM careers by engaging youth in STEM technology that is accessible, attainable, and based on biological processes impacting our communities - diabetes, cancers, infectious diseases, iii) and leverage state-of-the-art technology that grows with students as they increase their knowledge about biological processes, computational modeling and simulations, and critical problem solving of life and health science issues. The Project Team has expertise in scaling computational modeling and simulations software in the education space as well as working with community learning programs to train program leaders and facilitators on how to engage diverse youth in informal learning environments, and how to leverage technologies in after-school programming. For Phase I, the Project Team proposes to develop the Model It! prototype, consisting of two introductory courses, each with 5 levels for students to first develop skills in hands-on model building, then develop skills in running computational simulations. The Project Team will train after-school program facilitators from Beyond School Bells, our partner and Nebraska’s statewide Expanded Learning Opportunity Innovation Network. The facilitators will engage 60 students in after-school STEM programs two to three times a week. The facilitators will play a critical role in the design, testing, and iterating, and deployment of Model It! in order to make it age-appropriate for K-12 youth. Facilitators will provide qualitative feedback throughout the process, as well as quantitative feedback via the System Usability Scale (Brooke, 1996) Technology Acceptance Model (David, 1989), Theory of Planned Behavior (Ajzen, 1991), and Diffusion of Innovation Theory (Rogers, 2003) survey instruments designed to gauge technology ease-of-use. Data collected from both the facilitators as well as anonymized student data collected via Model It! during student interactions with the technology will be utilized to further enhance the technology’s usability and scalability. For Phase II, The Project Team will scale the courses beyond introductory skills into progressively more complex computational modeling, simulation, and data analysis modules. The team will also focus on additional technology accessibility, including further gamifying the learning progression, supporting touch-screens, and expanding the content to include additional angles of biomedical and health-related topics (e.g., seasonal influenza infection, keto dieting versus low-fat dieting, how the immune system functions, etc.).
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