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How do engineering students develop and reason with concepts of electricity within a project-based course?

机译:在基于项目的课程中,工程专业的学生如何发展和运用电力概念进行推理?

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摘要

Reform in science education has often emphasized task-based learning as an instructional method to improve student understanding and retention of concepts, and to promote the development of reasoning and problem-solving. Yet studies assessing student knowledge at the beginning and end of a task-based class show mixed results. Students in task-based science and technology courses may gain greater long-term retention of knowledge than their traditional counterparts, though immediate gains may be comparable. Curriculum developers and educators express concerns that the costs of developing and implementing task-based instruction may not justify the results. Yet the question of whether students learn more in a task-based setting than a traditional setting is difficult to answer without fully understanding how students learn in a task-based context. Toward this end, this study presents a tentative model of learning in task-based contexts.;A phenomenological perspective was employed to examine conceptions held by first-year undergraduate electrical engineering students around current, voltage, and resistance in simple and complex circuits. The study also examined how the students' prior knowledge interacted with their reasoning skills as these students engaged in a project based laboratory component of an introductory electrical engineering course. Students entering the course with low prior knowledge and high prior knowledge were selected for the study. Seven volunteered as participants and completed the study. Three were assessed as having low prior knowledge of electrical concepts, and four had high prior knowledge.;Subjects were interviewed near the beginning and after the end of an electrical engineering course that included a project-based laboratory. Interviews were analyzed for subject content knowledge. The subjects were observed performing in lab as they carried out various tasks using TekBots(TM) robotic kits. Dialogue between the subjects and others in the lab, including the researcher, was analyzed for evidence of reasoning skills and how the subjects used their knowledge and mental constructions when engaged in problem-solving.;Subjects displayed a wide range of conceptions, including alternative conceptions and conceptions that matched the target concepts as presented in the lecture section. As expected, students entering with low prior knowledge had many alternative conceptions and undeveloped ideas about electricity. Reasoning skills in lab were analyzed using a hierarchy presented by Driver et al. (1996). Subject reasoning ability, from phenomenon-based at the lowest to model-based at the highest, related less to prior knowledge of electrical concepts than it did to prior experience in mathematics classes. Thus one of the subjects who entered the class with little prior knowledge but high ability in mathematics was able to complete the tasks successfully, while another subject with high prior knowledge but low ability in math struggled through each of the tasks. These findings were used to refine a model of task-based learning that describes student knowledge and other factors brought to a task, the interaction between meaningful knowledge (that which is used spontaneously) and inert knowledge (that which is known, but is not applied spontaneously to the task), and questions how inert learning is activated to become meaningful.
机译:理科教育的改革通常强调基于任务的学习作为一种教学方法,可以提高学生对概念的理解和保留,并促进推理和问题解决的发展。然而,在基于任务的课程的开始和结束时评估学生知识的研究显示出不同的结果。尽管直接收获可能是可比的,但基于任务的科学和技术课程的学生可能比传统的学习者获得更多的长期知识保留。课程开发者和教育者表示担心,开发和实施基于任务的教学的成本可能无法证明结果的合理性。然而,如果不完全了解学生如何在基于任务的环境中学习,就很难回答学生是否在基于任务的环境中学习比传统环境更多的问题。为此,本研究提出了一种基于任务的情境下的尝试性学习模型。现象学视角被用来研究一年级电气工程专业学生围绕简单,复杂电路中的电流,电压和电阻的概念。这项研究还研究了这些学生从事电气工程入门课程中基于项目的实验室部分时,他们的先验知识如何与他们的推理能力互动。选择具有较低先验知识和较高先验知识的课程的学生进行研究。七名自愿者作为参与者并完成了研究。其中三个被评估为对电气概念的先验知识较少,四个被评估为具有较高的先验知识。在包括基于项目的实验室的电气工程课程的开始和结束时,都对受试者进行了访谈。对访谈进行了主题内容知识的分析。当他们使用TekBots™机器人套件执行各种任务时,观察到他们在实验室中的表现。分析了受试者与实验室中其他人员(包括研究人员)之间的对话,以提供推理能力的证据以及受试者在解决问题时如何利用他们的知识和思维建构。主题展示了广泛的概念,包括替代概念以及与讲座部分中介绍的目标概念相匹配的构想。不出所料,以较低的先验知识进入的学生有许多替代概念和关于电的未开发思想。使用Driver等人提出的层次结构分析了实验室中的推理能力。 (1996)。从最低的基于现象到最高的基于模型的主题推理能力,与电气概念的先验知识相比,其与数学课程中的先验经验的关联较少。因此,一个先入为主的知识很少但数学能力强的科目就能够成功地完成任务,而另一位先验却具有较高知识却数学能力差的科目则难以完成每项任务。这些发现被用于完善基于任务的学习模型,该模型描述了学生的知识和带给任务的其他因素,有意义的知识(即刻使用的知识)和惰性知识(已知但未应用的知识)之间的相互作用。自发地完成任务),并质疑如何激活惰性学习以使其变得有意义。

著录项

  • 作者

    Bledsoe, Karen E.;

  • 作者单位

    Oregon State University.;

  • 授予单位 Oregon State University.;
  • 学科 Education Sciences.;Education Higher.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 359 p.
  • 总页数 359
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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