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.

抽象的过滤向学生和老师介绍了使用的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。生物信息学采用计算工具来存储，管理和查询生物学数据，将工程，生物学，计算机科学，统计和编织在一起数学。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通常被纳入高中生活科学课程中，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，哈德逊帕研究所生物技术正在开发一种基于生物信息学的认真游戏，称为过滤，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播放，学生成为入门级一个实验室雇用的生物信息学家正在寻找对致命病毒和小的基因组见解一群人似乎对感染有抵抗力。通过游戏玩法，将学生介绍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加强，称为遗传变体，比较跨进化史的序列，并确定序列变化的影响。一个一系列难题使学生能够认识到工具的目的，优点和劣势。一次学生掌握工具，他们可以适当地对病毒进行分类，确定赋予耐药性的人类变种感染，并提出一种停止大流行的治疗选择。在线书面和多媒体材料支持学生和教育工作者，并将内容与劳动力联系起来基因组分析和生物信息学的其他方面的机会。教育者资源包括内容底漆和扩展，指向国家和其他标准的链接，样本课程计划，课堂使用指南，并建议的评估策略。专业发展包括使用教学培训过滤以及有关生物信息学，基因组分析和进化的内容的内容。这实施计划的重点是高中生物学课堂。特别强调培训与通常代表性不足的人群合作的教育者，包括非裔美国人和/或西班牙裔种族以及城市或农村地区的种族。过滤允许学生使用21世纪的技能来解决现实世界中的问题，从分子生物学，人类遗传学，种群生物学和进化的证据，它们达到联系在他们的课堂课程，个人兴趣和当今申请之间。