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: 10000119
• 负责人: Neil Edward Lamb
• 金额: $ 26.98万
• 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/10000119
• 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 Filtered向学生和教师介绍了生物学概念和逻辑思维技能， 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患者护理的关键组成部分。虽然生物信息学 概念往往被纳入高中生命科学课程，缺乏可用的教育 资源，以有效地解决关键的学习目标。为了填补这一空白，哈德逊阿尔法研究所 生物技术正在开发一个基于生物信息学的严肃游戏，名为“过滤”，它发生在一个 流行病在平板电脑、移动终端或网络浏览器上玩游戏，学生成为入门级 生物信息学家受雇于一个实验室，寻找一种致命病毒的基因组见解， 一群似乎对感染有抵抗力的人。通过游戏，学生们被介绍给一系列的 通过比对DNA序列的生物信息学工具得到加强的核心生物学概念，称为遗传 变异，比较进化历史上的序列，并确定序列变化的影响。一 一系列的谜题让学生认识到该工具的用途、优点和缺点。一旦学生 掌握了这些工具，他们就可以对病毒进行适当的分类，识别出能够对病毒产生抵抗力的人类变异， 感染，并提出一个治疗方案，以制止大流行。 在线书面和多媒体材料为学生和教育工作者提供支持，并将内容与劳动力联系起来 在基因组分析和生物信息学的其他方面的机会。教育资源包括内容 入门和扩展，国家和其他标准的链接，示例教案，课堂使用指南， 并提出了评估策略。专业发展包括使用 关于生物信息学、基因组分析和进化的筛选和内容深化会议。的 实施计划侧重于高中生物课堂。特别强调培训 教育工作者谁与典型的代表性不足的人口，包括非裔美国人和/或 西班牙裔以及那些在内城或农村地区。 过滤允许学生使用21世纪世纪的技能来处理现实世界的问题， 分子生物学、人类遗传学、种群生物学和进化论的证据， 他们的课堂课程，个人兴趣和当今的应用之间。