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Analysis of misconceptions of Engineering Technology students about electricity and circuits: A mixed methods study.

机译:工科学生对电力和电路的误解分析:混合方法研究。

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摘要

Effective instruction in Engineering and Technology requires knowledge of how students understand or misunderstand key concepts in these disciplines. This dissertation focuses on the analysis of students' misconceptions about electricity and circuits. It presents a synthesis of methods from educational research and cognitive psychology applied to a population of Electrical Engineering Technology students.;Incorrect mental models, deeply rooted in everyday experience, can significantly affect student learning. Evidence suggests that students who learn new material may already have some understanding and preconceptions about presented-in-classroom concepts. Misconceptions about electricity of freshmen and sophomores were analyzed and compared to the misconceptions of seniors. The goals of this dissertation targeted: (1) investigating the correlation between student academic success (grades) and their misconceptions, and (2) understanding how student mental models and misconceptions change with increasing levels of competency and expertise during the students' progression from the freshman to senior level. Twenty two seniors and twenty novices (freshmen and first-semester sophomores) enrolled in the Electrical Engineering Technology program at Purdue University participated in the present study. The study design employed a mixed-methods methodology, including quantitative and qualitative phases. The quantitative phase conducted a correlational investigation; the qualitative phase was built on grounded theory principles. In the quantitative stage, all 42 participants responded to 29 questions from the DIRECT version 1.0 Concept Inventory (see Engelhardt & Beichner, 2004). In the qualitative stage 16 out of 42 students (8 novices and 8 seniors) explained aloud their incorrect responses to the DIRECT CI, and responded to four open-ended questions about general understanding of electricity. Students' interviews were analyzed using open coding. The findings showed that correlation between grades and misconceptions was statistically significant for both novice and senior groups. The two most interesting and unexpected results were: (1) in the novice group correlation between grades and misconceptions was stronger than in the senior group. Incorrect understanding of electricity in the senior group can apparently be disguised by a well-developed technical vocabulary. Notably, even the brightest high-GPA students evidenced numerous mistaken beliefs; (2) despite the improvement in understanding of electricity; seniors had more misconceptions (and were more confused) than novices about physical and fundamental electrical concepts, such as `charge' or `electrical field'. Also, two widespread among the students' analogies were detected: (1) water flow and electrical current, and (2) electricity is a "substance-that-can-be-used-up." These analogies were identified as the most popular mental models, and they continued to be frequently used as novices progressed to senior level.
机译:有效的工程与技术教学需要了解学生如何理解或误解这些学科的关键概念。本文着重分析学生对电力和电路的误解。它提供了从教育研究到认知心理学的方法的综合方法,这些方法适用于大量的电气工程技术专业的学生。错误的心理模型深深植根于日常经验中,会严重影响学生的学习。有证据表明,学习新材料的学生可能已经对课堂演示的概念有一定的了解和偏见。分析了对新生和大二学生电力的误解,并将其与老年人的误解进行了比较。本论文的目标是:(1)研究学生的学业成就(年级)与他们的误解之间的相关性;(2)了解学生的心理模式和误解如何随着学生能力的提高和专业水平的提高而变化。大一新生。普渡大学电子工程技术课程的22名大四学生和20名新手(新生和初学二年级学生)参加了本研究。研究设计采用混合方法方法,包括定量和定性阶段。定量阶段进行了相关调查。定性阶段是建立在扎根的理论基础上的。在定量阶段,所有42名参与者回答了DIRECT 1.0版概念清单中的29个问题(请参阅Engelhardt&Beichner,2004)。在定性阶段,42名学生中的16名(8名新手和8名大四学生)大声解释了他们对DIRECT CI的错误回答,并回答了有关电力一般理解的四个开放性问题。使用开放式编码对学生的访谈进行了分析。研究结果表明,对于新手和高级组,成绩和误解之间的相关性在统计学上均具有统计学意义。两个最有趣和最出乎意料的结果是:(1)在新手组中,年级和误解之间的相关性强于高级组。发达的技术词汇显然可以掩盖高级组对电力的错误理解。值得注意的是,即使是最聪明的高GPA学生也证明了许多错误的信念。 (2)尽管对电力的了解有所提高;与对“充电”或“电场”等物理和基本电气概念的新手相比,高年级学生有更多的误解(并且更加困惑)。另外,在学生的类比中发现了两个普遍现象:(1)水流和电流,(2)电是一种“可以被使用的物质”。这些类比被认为是最受欢迎的心理模型,随着新手晋升到高级水平,它们继续被频繁使用。

著录项

  • 作者

    Goris, Tatiana V.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Education General.;Engineering Electronics and Electrical.;Engineering General.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 302 p.
  • 总页数 302
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:43:33

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