Filtered: a story-driven digital learning platform for bioinformatics and infectious disease

Filtered：故事驱动的生物信息学和传染病数字学习平台

• 批准号: 10226065
• 负责人: Neil Edward Lamb
• 金额: $ 26.92万
• 依托单位: HUDSON-ALPHA INSTITUTE FOR BIOTECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-10 至 2023-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10226065
• 关键词: Address; Administrator; African American student; Alabama; Applications Grants; Benign; Bioinformatics; Biological; Biological Sciences; Biology; Biotechnology; Clinical; Clinical Research; Collaborations; Communicable Diseases; Computational Science; DNA; DNA Sequence; Data; Decision Making; Development; E-learning; Education; Educational Curriculum; Educational workshop; Engineering; Ethnic Origin; Evolution; Foundations; Future; Future Teacher; Genetic Diseases; Genetic Variation; Genome; Genomics; Health; Healthcare; High-Throughput Nucleotide Sequencing; Hispanics; Human; Human Genetics; Human Genome; Infection; Informatics; Institutes; Internet; Knowledge; Laboratories; Learning; Link; Mathematics; Modernization; Molecular; Molecular Biology; Multimedia; Mutation; Patient Care; Play; Population Biology; Primer Extension; Recording of previous events; Resistance; Resistance to infection; Resources; Risk; Role; Sampling; Schools; Series; Structure-Activity Relationship; Students; System; Tablets; Technology; Thinking; Training; Training Programs; Underrepresented Populations; Underrepresented Students; Variant; Viral; Viral Genome; Virus; Work; base; bioinformatics tool; college; computer science; computerized tools; disease-causing mutation; disorder risk; education resources; experience; genetic variant; genome analysis; geographic population; handheld mobile device; high school; improved; infectious disease evolution; inner city; insight; interest; lens; mathematical sciences; pandemic disease; pathogenic virus; pedagogy; precision medicine; reproductive; rural area; scaffold; science teacher; skills; socioeconomics; statistics; success; symposium; teacher; tool

Abstract Filtered introduces students and teachers to the biological concepts and logical thinking skills used in the bioinformatics analysis of human and viral genomes. Bioinformatics employs computational tools to store, manage and query biological data, weaving together engineering, biology, computer science, statistics and mathematics. It is a key component of modern clinical research and patient care. Although bioinformatics concepts are often incorporated in high school life science courses, there is a lack of available educational resources to effectively address key learning targets. To fill this gap, the HudsonAlpha Institute for Biotechnology is developing a bioinformatics-based serious game called Filtered, which takes place during a pandemic. Played on a tablet, mobile device or through a web browser, students become entry-level bioinformaticians employed by a laboratory searching for genomic insights into a deadly virus and the small group of humans seemingly resistant to infection. Through gameplay, students are introduced to a series of core biological concepts, reinforced through bioinformatics tools that align DNA sequences, call genetic variants, compare sequences across evolutionary history, and determine the impact of sequence changes. A series of puzzles allows students to recognize the tool's purpose, strengths and weaknesses. Once students master the tools, they can appropriately classify the virus, identify human variants that confer resistance to infection, and propose a treatment option to halt the pandemic. Online written and multimedia materials support students and educators, and link the content to workforce opportunities in genome analysis and other aspects of bioinformatics. Educator resources include content primers and extensions, links to national and other standards, sample lesson plans, guides for classroom use, and suggested assessment strategies. Professional development includes pedagogical training in using Filtered as well as content-deepening sessions on bioinformatics, genome analysis and evolution. The implementation plan focuses on high school biology classrooms. Special emphasis is given to training educators who work with typically underrepresented populations, including students of African-American and/or Hispanic ethnicity as well as those in inner-city or rural areas. Filtered allows students to approach real-world problems using 21st century skills, pulling multiple lines of evidence from molecular biology, human genetics, population biology and evolution as they draw connections between their classroom lessons, personal interests and present-day applications.

摘要 Filted向学生和教师介绍了生物概念和在 人类和病毒基因组的生物信息学分析。生物信息学使用计算工具来存储， 管理和查询生物数据，将工程学、生物学、计算机科学、统计学和 数学。它是现代临床研究和病人护理的关键组成部分。尽管生物信息学 概念经常被纳入高中生命科学课程，缺乏可用的教育 有效解决关键学习目标的资源。为了填补这一空白，哈德逊·阿尔法研究所 生物技术公司正在开发一款基于生物信息学的严肃游戏，名为Filted，它发生在 大流行。在平板电脑、移动设备或Web浏览器上播放，学生将成为入门级 受雇于一家实验室的生物信息学家，寻找对致命病毒和小病毒的基因组洞察 一群似乎对感染有抵抗力的人类。通过游戏，学生们被介绍给一系列 核心生物学概念，通过比对DNA序列的生物信息学工具得到加强，称为基因 变异，比较进化历史上的序列，并确定序列变化的影响。一个 一系列谜题让学生认识到该工具的目的、优点和缺点。曾经的学生 掌握了这些工具，他们就可以适当地对病毒进行分类，识别出赋予抗药性的人类变种 感染，并提出一种治疗方案来阻止大流行。 在线书面和多媒体材料为学生和教育工作者提供支持，并将内容链接到员工队伍 基因组分析和生物信息学其他方面的机会。教育者资源包括内容 入门读物和扩展，国家标准和其他标准的链接，示例教案，课堂使用指南， 并建议评估策略。专业发展包括使用的教学培训 关于生物信息学、基因组分析和进化的过滤以及内容深化会议。这个 实施计划的重点是高中生物课堂。特别重视培训。 与代表性较低的人群合作的教育工作者，包括非裔美国人和/或 西班牙裔族裔以及市中心或农村地区的人。 Filted允许学生使用21世纪的技能来处理现实世界的问题，利用多行 来自分子生物学、人类遗传学、种群生物学和进化的证据，因为它们之间存在联系 在他们的课堂课程、个人兴趣和现代应用之间。