首页> 外文会议>American Society For Engineering Education Annual Conference and Exposition >USING FORWARD INFERENCING AS AN INDICATOR OF PROBLEM SOLVING SKILL IN U.S. AND INDIAN ENGINEERING UNDERGRADUATES
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USING FORWARD INFERENCING AS AN INDICATOR OF PROBLEM SOLVING SKILL IN U.S. AND INDIAN ENGINEERING UNDERGRADUATES

机译:使用向前推断作为美国和印度工程大学生问题解决技巧的指标

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With rising concerns about U.S. competitiveness in a global workplace, questions typically center on adequacy of training. What are the parameters of achievement, what benchmarks can be established as indicating competent and proficient student performance? Research on problem solving has shown that the specific order in which a person generates equations in a solution is indicative of his or her level of expertise. Experts apply the process of forward inferencing. Novices apply the process of backward inferencing. Forward inferencing requires a deep understanding of the problem. This understanding is activated immediately, either through recalling that type of problem from past experience, or through reasoning about the problem before generating equations. Students' problem solving protocols were analyzed to determine if they behaved like experts or novices. The data consisted of paper-and-pencil solutions and video-recordings of engineering freshmen and sophomores who were asked to think aloud as they solved typical statics problems. Data from U.S. students suggested that freshman-sophomore undergraduate students did not use forward inferencing. In contrast to the U.S. data, students at an Indian Institute of Technology clearly used forward inferencing and showed that beginning undergraduate students can achieve the deep problem solving insight characteristic of experts. The U.S. and Indian data include quantitative and qualitative evidence. The distributions of forward versus backward inferencing are reported. Curriculum and cross-cultural differences are considered, in part, in accounting for the differences between U.S. and Indian students. The value of this research to U.S. engineering curricula is that it provides clear pedagogical benchmarks for classroom instruction.
机译:随着对全球工作场所的竞争力的兴趣上升,问题通常是培训充足性的。成绩的参数是什么,可以建立哪些基准,表明能力和熟练的学生表现?问题解决的研究表明,人们在解决方案中产生方程的具体顺序表明他或她的专业知识水平。专家适用于前进的推理过程。新手应用后往推理的过程。前进的推理需要深入了解这个问题。通过回顾过去经验的问题,或通过推理在生成方程之前,通过调用这种问题来立即激活这种理解。分析学生解决方案的解决方案,以确定它们是否表现得像专家或新手。这些数据包括纸张和铅笔解决方案和工程新生的视频录制,并被要求大声思考,因为它们解决了典型的静态问题。来自美国学生的数据建议,新生 - 二年级学生本科生没有使用前进的推理。与美国数据相比,印度技术研究所的学生明确推断出来,并表明开始本科生可以实现专家的深层问题。美国和印度数据包括量化和定性证据。报告了向前与后退推理的分布。部分审议课程和跨文化差异,部分地考虑了美国和印度学生之间的差异。本研究对美国工程课程的价值是它为课堂教学提供了清晰的教学基准。

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