Klymkowsky Michael W
Molecular, Cellular, and Developmental Biology University of Colorado Boulder, Boulder, CO, United States.
Front Genet. 2023 Jun 8;14:1199739. doi: 10.3389/fgene.2023.1199739. eCollection 2023.
Designing effective curricula is challenging. Content decisions can impact both learning outcomes and student engagement. As an example consider the place of Hardy-Weinberg equilibria (HWE) and genetic drift calculations in introductory biology courses, as discussed by Masel (2012). Given that population genetics, "a fairly arcane speciality", can be difficult to grasp, there is little justification for introducing introductory students to HWE calculations. It is more useful to introduce them to the behavior of alleles in terms of basic features of biological systems, and that in the absence of selection recessive alleles are no "weaker" or preferentially lost from a population than are dominant alleles. On the other hand, stochastic behaviors, such as genetic drift, are ubiquitous in biological systems and often play functionally significant roles; they can be introduced to introductory students in mechanistic and probabilistic terms. Specifically, genetic drift emerges from the stochastic processes involved in meiotic chromosome segregation and recombination. A focus on stochastic processes may help counteract naive bio-deterministic thinking and can reinforce, for students, the value of thinking quantitatively about biological processes.
设计有效的课程具有挑战性。内容决策会影响学习成果和学生参与度。例如,正如马塞尔(2012年)所讨论的,考虑哈迪-温伯格平衡(HWE)和遗传漂变计算在生物学入门课程中的地位。鉴于群体遗传学“一门相当晦涩的专业领域”可能难以理解,向生物学入门学生介绍HWE计算几乎没有道理。更有用的做法是根据生物系统的基本特征向他们介绍等位基因的行为,以及在没有选择的情况下,隐性等位基因并不比显性等位基因“更弱”或在种群中更易丢失。另一方面,随机行为,如遗传漂变,在生物系统中无处不在,且常常发挥重要的功能作用;可以用机械论和概率的方式向入门学生介绍它们。具体而言,遗传漂变源于减数分裂染色体分离和重组过程中的随机过程。关注随机过程可能有助于抵消天真的生物决定论思维,并能向学生强化对生物过程进行定量思考的价值。