Department of Physiology, Michigan State University, East Lansing, Michigan.
Lyman Briggs College, Michigan State University, East Lansing, Michigan.
Adv Physiol Educ. 2023 Jun 1;47(2):222-236. doi: 10.1152/advan.00128.2022. Epub 2023 Feb 9.
The basis for mastering neurophysiology is understanding ion movement across cell membranes. The Electrochemical Gradients Assessment Device (EGAD) is a 17-item test assessing students' understanding of fundamental concepts of neurophysiology, e.g., electrochemical gradients and resistance, synaptic transmission, and stimulus strength. We collected responses to the EGAD from 534 students from seven institutions nationwide, before and after instruction. We determined the relative difficulty of neurophysiology topics and noted that students did better on "what" questions compared to "how" questions, particularly those integrating concentration gradient and electric forces to predict ion movement. We also found that, even after instruction, students selected one incorrect answer, at a rate greater than random chance for nine questions. We termed these incorrect answers attractive distractors. Most attractive distractors contained terms associated with concentration gradients, equilibrium, or anthropomorphic and teleological reasoning, and incorrect answers containing multiple terms were more attractive. We used χ analysis and alluvial diagrams to investigate how individual students moved or did not move between answer choices on the pre- and posttest. Interestingly, students selecting the attractive distractor on the pretest were just as likely as other incorrect students to move to the correct answer on the posttest. In contrast, of students incorrect on both the pre- and posttest, students who selected the attractive distractor on the pretest were more likely to stick with this answer on the posttest than students choosing other incorrect answers. Combining the EGAD results with alluvial diagrams can inform neurophysiology instruction to address points of student confusion. Investigating students' alternative reasoning in neurophysiology, this research is the first to investigate how analyzing the most common incorrect answer can shed light on the concepts students struggle with when reasoning about neurophysiological problems, especially those dealing with both chemical and electrical driving forces to predict ion movement across cell membranes.
掌握神经生理学的基础是理解离子穿过细胞膜的运动。电化学梯度评估装置(EGAD)是一个 17 项测试,评估学生对神经生理学基本概念的理解,例如电化学梯度和电阻、突触传递和刺激强度。我们从全国 7 个机构的 534 名学生那里收集了 EGAD 的反应,在教学前后。我们确定了神经生理学主题的相对难度,并注意到学生在“是什么”问题上的表现优于“如何”问题,尤其是那些将浓度梯度和电力结合起来预测离子穿过细胞膜的运动的问题。我们还发现,即使在教学之后,学生在九个问题中,有九个问题的错误答案选择率高于随机概率。我们将这些错误答案称为有吸引力的干扰项。大多数有吸引力的干扰项包含与浓度梯度、平衡或拟人化和目的论推理相关的术语,并且包含多个术语的错误答案更具吸引力。我们使用 χ 分析和冲积图来调查学生在前后测试中如何在答案之间移动或不移动。有趣的是,在测试前选择有吸引力的干扰项的学生,与其他错误学生一样,在测试后更有可能选择正确答案。相比之下,在前后测试中都答错的学生,如果在测试前选择了有吸引力的干扰项,那么在测试后更有可能坚持这个答案,而选择其他错误答案的学生则不太可能。将 EGAD 结果与冲积图相结合,可以为神经生理学教学提供信息,以解决学生的困惑点。通过研究学生在神经生理学中的替代推理,这项研究首次调查了分析最常见的错误答案如何揭示学生在推理神经生理问题时遇到的概念,特别是那些涉及化学和电力驱动力以预测离子穿过细胞膜的运动的问题。