DISCERN: Discovery Learning with Student Defined Problems

V. Raisinghani
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引用次数: 2

Abstract

Literature suggests that inductive learning methods are more effective than deductive learning techniques. Discovery learning with autonomous learning is a well known technique for improving student engagement and learning. We report our results of involving final year students in defining their exercises in the lab or for assignments, given a set of learning outcomes. Before the start of the course, we make the students aware of the syllabus and learning outcomes for the course. To define the lab / assignment tasks, the students are given the freedom to search and select technologies and tools based on current trends, using Internet resources. We further permit the students to revisit and revise the task list during the course. The faculty member reviews the task list to ensure appropriate level of complexity. Our results show that students are able to select challenging assignments, and execute them well, when they are involved in defining the learning tasks. Our preliminary results are for a specific final year engineering elective course which involved lab work and assignments. We feel that the approach can be applied to different engineering courses having a similar pattern. We share our views on applying the technique to a course which could be useful in the Indian context.
辨别:发现学习与学生定义的问题
文献表明,归纳学习方法比演绎学习方法更有效。自主学习的发现学习是一种众所周知的提高学生参与度和学习的方法。我们报告了我们的结果,让最后一年级的学生在实验室中定义他们的练习或作业,并给出了一组学习成果。在课程开始之前,我们会让学生了解课程大纲和学习成果。为了定义实验/作业任务,学生可以使用互联网资源,根据当前趋势自由搜索和选择技术和工具。我们还允许学生在课程中回顾和修改任务列表。教员审查任务列表以确保适当的复杂程度。我们的研究结果表明,当学生参与定义学习任务时,他们能够选择具有挑战性的作业并很好地执行它们。我们的初步结果是针对一个具体的最后一年工程选修课程,包括实验工作和作业。我们认为这种方法可以应用于具有相似模式的不同工程课程。我们同意将这一技术应用于一门在印度情况下可能有用的课程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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