Metrics to Facilitate Automated Categorization of Student Learning Patterns while using Educational Engineering Software

Stern Linda; Burvill Colin; Weir John; Field Bruce

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Metrics to Facilitate Automated Categorization of Student Learning Patterns while using Educational Engineering Software

机译：使用教育工程软件时促进学生学习模式的自动分类的指标

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摘要

In this paper we describe the use of metrics for analysing student interactions with educational software. We applied this metric-based approach to a class of 200 second-year undergraduate students using an educationally-oriented software simulator to solve specific problems in mechanical engineering design. Our results show that a metric can facilitate categorization of student learning patterns. We suggest how similar metrics could allow automated feedback on learning to both students and educators. Since it is based on numerical analysis and modelling, our approach is particularly well-suited to software used to support teaching and learning in engineering and other mathematically-based disciplines.

机译：在本文中，我们描述了使用指标来分析学生与教育软件的互动。我们使用基于教育的软件模拟器将这种基于度量的方法应用于200名二年级本科生班，以解决机械工程设计中的特定问题。我们的结果表明，一项指标可以促进学生学习模式的分类。我们建议类似的指标如何使学生和教育者都能自动获得学习反馈。由于它基于数值分析和建模，因此我们的方法特别适合用于支持工程学和其他基于数学的学科的教学的软件。

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《The international journal of engineering education》 |2016年第5a期|1888-1902|共15页
作者
Stern Linda; Burvill Colin; Weir John; Field Bruce;
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作者单位

Univ Melbourne, Dept Comp & Informat Syst, Melbourne, Vic, Australia;

Univ Melbourne, Dept Mech Engn, Melbourne, Vic, Australia;

BW Field Pty Ltd, Carlton North, Vic, Australia;

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原文格式 PDF
正文语种 eng
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关键词
learning analytics; technology for learning; mechanical engineering education; audit trails;

机译：学习分析;学习技术;机械工程教育;审计追踪;

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Metrics to Facilitate Automated Categorization of Student Learning Patterns while using Educational Engineering Software

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