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

基本信息

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
项目类别：
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

项目摘要

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.

抽象的 Filtered 向学生和教师介绍生物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。生物信息学利用计算工具来存储、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经常被纳入高中生命科学课程，但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，HudsonAlpha 研究所 Biotechnology 正在开发一款名为 Filtered 的基于生物信息学的严肃游戏，该游戏发生在大流行。在平板电脑、移动设备或通过网络浏览器上玩，学生成为入门级实验室雇用的生物信息学家寻找致命病毒和小病毒的基因组见解一群人似乎对感染有抵抗力。通过游戏，学生们将了解一系列核心生物学概念，通过对齐 DNA 序列的生物信息学工具得到强化，称为遗传变体，比较进化史上的序列，并确定序列变化的影响。一个一系列的谜题可以让学生认识到该工具的用途、优点和缺点。曾经的学生掌握这些工具，他们可以对病毒进行适当的分类，识别出具有抵抗力的人类变种感染，并提出阻止大流行的治疗方案。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书和扩展、国家标准和其他标准的链接、示例课程计划、课堂使用指南、并提出评估策略。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和内容深化课程。这实施计划的重点是高中生物课堂。特别重视培训与典型代表性不足的人群一起工作的教育工作者，包括非裔美国人和/或西班牙裔以及市中心或农村地区的裔。 Filtered 允许学生使用 21 世纪的技能来解决现实世界的问题，拉动多条线来自分子生物学、人类遗传学、群体生物学和进化论的证据，因为它们之间存在联系他们的课堂课程、个人兴趣和当前应用之间的关系。