College of Ecology and Environment, Chengdu University of Technology, Chengdu 610059, China.
Department of Earth and Atmospheric Sciences, Indiana University, Bloomington, IN 47405, USA.
Int J Environ Res Public Health. 2023 Jan 10;20(2):1203. doi: 10.3390/ijerph20021203.
(1) Background: Software for the numerical simulation of groundwater plays an important role in studying environmental problems. However, it is still unclear whether the pre-processing software of the numerical simulation of groundwater has a negative effect on the cognition of undergraduates in the environmental field who only have basic groundwater flow and solute transport knowledge and software operation skills. (2) Methods: To explore this issue, we used software meshing as an example and selected undergraduates in the environmental field to conduct the questionnaire surveys. A total of 345 undergraduate answer sheets were received, and data analysis was carried out. The students were divided into two groups, one with and another without certain basic groundwater flow and solute transport knowledge or software operation skills. (3) Results: For undergraduate students with some basic knowledge or software operation ability, the proportion of students whose cognition was adversely interfered with by the pre-processing software was 64.3%, and the ratio of students not interfered with was 35.7%. For undergraduates without groundwater flow and solute transport knowledge and relevant software operation skills, the ratios were 63.2% and 36.8%, respectively. (4) Conclusions: Pre-processing software numerical simulation of groundwater could negatively interfere with students' cognition. The basic groundwater flow and solute transport knowledge and software operation skills did not observably reduce the interference degree ( = 0.259) but had significant influences on the undergraduates' thinking modes on the numerical simulation problems ( = 0.009). The interference was mainly caused by the significant difference between the level of knowledge possessed by the students and that represented by the pre-processing software. This paper provides basic scientific data for the optimization of students' knowledge structures and the improvement of teaching methods.
（1）背景：地下水数值模拟软件在研究环境问题中起着重要作用。然而，目前尚不清楚地下水数值模拟的预处理软件是否会对仅具有基本地下水流动和溶质运移知识以及软件操作技能的环境领域本科生的认知产生负面影响。
（2）方法：为了探讨这个问题，我们以软件网格为例，选择环境领域的本科生进行问卷调查。共收到 345 份本科生答卷，并进行了数据分析。学生分为两组，一组具有一定的基本地下水流动和溶质运移知识或软件操作技能，另一组没有。
（3）结果：对于具有一定基础知识或软件操作能力的本科生，受预处理软件干扰认知的学生比例为 64.3%，不受干扰的学生比例为 35.7%。对于没有地下水流动和溶质运移知识及相关软件操作技能的本科生，比例分别为 63.2%和 36.8%。
（4）结论：地下水预处理软件数值模拟可能会对学生的认知产生负面影响。基本的地下水流动和溶质运移知识以及软件操作技能并没有明显降低干扰程度（=0.259），但对本科生对数值模拟问题的思维模式有显著影响（=0.009）。干扰主要是由于学生所拥有的知识水平与预处理软件所代表的水平之间存在显著差异所致。本文为优化学生知识结构和改进教学方法提供了基本的科学数据。
