Department of Biological Sciences, Purdue University, West Lafayette, IN 47907.
CBE Life Sci Educ. 2023 Dec;22(4):ar44. doi: 10.1187/cbe.22-03-0041.
Explaining biological phenomena requires understanding how different processes function and describing interactions between components at various levels of organization over time and space in biological systems. This is a desired competency yet is a complicated and often challenging task for undergraduate biology students. Therefore, we need a better understanding of their integrated knowledge regarding important biological concepts. Informed by the theory of knowledge integration and mechanistic reasoning, in this qualitative case study, we elicited and characterized knowledge networks of nine undergraduate biology students. We investigated students' conceptions of and the various ways they connect three fundamental subsystems in biology: 1) gene regulation, 2) cell-cell communication, and 3) phenotypic expression. We found that only half of the conceptual questions regarding the three subsystems were answered correctly by the majority of students. Knowledge networks tended to be linear and unidirectional, with little variation in the types of relationships displayed. Students did not spontaneously express mechanistic connections, mainly described undefined, cellular, and macromolecular levels of organization, and mainly discussed unspecified and intracellular localizations. These results emphasize the need to support students' understanding of fundamental concepts, and promoting knowledge integration in the classroom could assist students' ability to understand biological systems.
解释生物现象需要理解不同过程的功能,并描述生物系统中不同组织层次上的组件随时间和空间的相互作用。这是一个理想的能力,但对于本科生物学学生来说,这是一项复杂且常常具有挑战性的任务。因此,我们需要更好地了解他们对重要生物学概念的综合知识。本研究以知识整合和机械推理理论为指导,通过一项定性案例研究,我们引出并描述了 9 名本科生物学学生的知识网络。我们调查了学生对生物学三个基本子系统(1)基因调控、(2)细胞间通讯和(3)表型表达的概念理解以及他们连接这些子系统的各种方式。我们发现,只有一半的关于这三个子系统的概念问题被大多数学生正确回答。知识网络往往是线性和单向的,所显示的关系类型变化不大。学生没有自发地表达机械联系,主要描述了未定义的、细胞的和大分子的组织层次,主要讨论了未指定的和细胞内的定位。这些结果强调了需要支持学生对基本概念的理解,并在课堂上促进知识整合,以帮助学生理解生物系统的能力。