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Implementing and Assessing a Hierarchical Cognitive Model to Educate Engineering Undergraduates

机译:实施和评估分层认知模型,以教育工程大学生

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This article describes the implementation and assessment of using a hierarchical model of mental growth as the basis for developing critical thinking skills and engineering judgment in engineering undergraduates. Briefly, the hierarchical cognitive model of Egan provides our roadmap for developing effective teaching and learning strategies that are applied to core engineering courses taught in the sophomore and junior years. These strategies strengthen low-level cognitive skills in sophomores and juniors that provide a proper foundation on which high-level cognitive skills can be developed. Our assessment instruments track individual students, allowing us to monitor student growth and evaluate the effectiveness of these teaching and learning strategies for populations with different exposures to experimental treatments. Results to-date indicate that a significant difference exists (p < 0.06) in metacognitive self-regulation between students who have one experimental treatment and those with two or more. The latter students are more effective at planning, monitoring, and regulating their cognitive activities than the former. They tend also to participate in a task more often for reasons such as challenge, curiosity, or mastery; and, they express more positive attitudes towards professional development.
机译:本文介绍了使用精神增长层次模型的实施和评估,作为在工程大学生中发展批判性思维技能和工程判断的基础。简而言之,egan的分层认知模型为我们的路线图提供了制定有效的教学和学习策略,这些策略适用于大二和初年教授的核心工程课程。这些策略加强了大二的高层认知技能,提供了适当的基础,可以制定高水平的认知技能。我们的评估仪器跟踪个别学生,让我们能够监测学生的增长,并评估这些教学和学习策略对实验治疗的不同风险的学习策略的有效性。结果迄今为止表明,在具有一个实验治疗的学生与有两个或更多的学生之间存在显着差异(P <0.06)。后者的学生在规划,监测和调节其认知活动方面更有效。由于挑战,好奇心或掌握等原因,他们也往往更常见的任务也倾向于更常见;而且,他们表达了对专业发展的更积极态度。

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