Department of Molecular Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO 80309-0347.
CBE Life Sci Educ. 2020 Dec;19(4):ar58. doi: 10.1187/cbe.20-03-0054.
Past research on group work has primarily focused on promoting change through implementation of interventions designed to increase performance. Recently, however, education researchers have called for more descriptive analyses of group interactions. Through detailed qualitative analysis of recorded discussions, we studied the natural interactions of students during group work in the context of a biology laboratory course. We analyzed multiple interactions of 30 different groups as well as data from each of the 91 individual participants to characterize the ways students engage in discussion and how group dynamics promote or prevent meaningful discussion. Using a set of codes describing 15 unique behaviors, we determined that the most common behavior seen in student dialogue was analyzing data, followed by recalling information and repeating ideas. We also classified students into one of 10 different roles for each discussion, determined by their most common behaviors. We found that, although students cooperated with one another by exchanging information, they less frequently fully collaborated to explain their conclusions through the exchange of reasoning. Within this context, these findings show that students working in groups generally choose specific roles during discussions and focus on data analysis rather than constructing logical reasoning chains to explain their conclusions.
过去的小组合作研究主要集中在通过实施旨在提高绩效的干预措施来促进变革。然而,最近教育研究人员呼吁对小组互动进行更具描述性的分析。通过对记录的讨论进行详细的定性分析,我们研究了学生在生物学实验室课程背景下小组作业中的自然互动。我们分析了 30 个不同小组的多次互动以及 91 名个体参与者的每一个数据,以描述学生参与讨论的方式以及小组动态如何促进或阻碍有意义的讨论。我们使用一组描述 15 种独特行为的代码,确定了学生对话中最常见的行为是数据分析,其次是回忆信息和重复想法。我们还根据他们最常见的行为,将学生在每次讨论中分为 10 种不同的角色之一。我们发现,尽管学生通过信息交流相互合作,但他们很少通过推理交流充分合作来解释他们的结论。在这种情况下,这些发现表明,学生在小组中工作时通常会在讨论中选择特定的角色,并专注于数据分析,而不是构建逻辑推理链来解释他们的结论。