Magana Alejandra J, Taleyarkhan Manaz, Alvarado Daniela Rivera, Kane Michael, Springer John, Clase Kari
*Department of Computer and Information Technology, Purdue University, West Lafayette, IN 47906 *Department of Computer and Information Technology, Purdue University, West Lafayette, IN 47906
*Department of Computer and Information Technology, Purdue University, West Lafayette, IN 47906.
CBE Life Sci Educ. 2014 Winter;13(4):607-23. doi: 10.1187/cbe.13-10-0193.
Bioinformatics education can be broadly defined as the teaching and learning of the use of computer and information technology, along with mathematical and statistical analysis for gathering, storing, analyzing, interpreting, and integrating data to solve biological problems. The recent surge of genomics, proteomics, and structural biology in the potential advancement of research and development in complex biomedical systems has created a need for an educated workforce in bioinformatics. However, effectively integrating bioinformatics education through formal and informal educational settings has been a challenge due in part to its cross-disciplinary nature. In this article, we seek to provide an overview of the state of bioinformatics education. This article identifies: 1) current approaches of bioinformatics education at the undergraduate and graduate levels; 2) the most common concepts and skills being taught in bioinformatics education; 3) pedagogical approaches and methods of delivery for conveying bioinformatics concepts and skills; and 4) assessment results on the impact of these programs, approaches, and methods in students' attitudes or learning. Based on these findings, it is our goal to describe the landscape of scholarly work in this area and, as a result, identify opportunities and challenges in bioinformatics education.
生物信息学教育可以广义地定义为教授和学习如何使用计算机与信息技术,以及运用数学和统计分析来收集、存储、分析、解释和整合数据,以解决生物学问题。近期,基因组学、蛋白质组学和结构生物学在复杂生物医学系统研发的潜在进展方面蓬勃发展,这就产生了对具备生物信息学知识的劳动力的需求。然而,由于生物信息学具有跨学科性质,通过正式和非正式教育环境有效地整合生物信息学教育一直是一项挑战。在本文中,我们旨在概述生物信息学教育的现状。本文将确定:1)本科和研究生阶段生物信息学教育的当前方法;2)生物信息学教育中最常教授的概念和技能;3)传授生物信息学概念和技能的教学方法和授课方式;4)这些课程、方法和方式对学生态度或学习影响的评估结果。基于这些发现,我们的目标是描述该领域学术工作的概况,从而确定生物信息学教育中的机遇和挑战。