在混合学习环境中自动分配导师

2014 IEEE 27th Conference on Software Engineering Education and Training (CSEE&T) Pub Date : 2014-04-23 DOI:10.1109/CSEET.2014.6816786

Chris Boesch, K. Steppe

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引用次数: 3

摘要

在本文中，我们讨论了在现有的编程实践在线平台上，在课堂实验工作中增加导师的自动分配。SingPath是一个基于web的工具，供用户使用多种软件语言练习编程。该平台最初是作为一种工具，为学生提供关于编程问题解决方案的在线反馈，并随着时间的推移而扩展，以支持各种课程和教室设置的不同混合学习需求。SingPath平台支持传统的自主学习机制，如徽章和完成指标，以及在教室中使用的功能，如比赛。在两个旨在向学生介绍Python和JavaScript编程语言的简短研讨会中，我们评估了导师分配功能的添加。与以前的课程相比，导师分配功能的引入提供了更具协作性和参与性的体验。

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Automated mentor assignment in blended learning environments

In this paper, we discuss the addition of automatic assignment of mentors during in-class lab work to an existing online platform for programing practice. SingPath is an web based tool for users to practice programming in several software languages. The platform started as a tool to provide students with online feedback on solutions to programming problems and expanded over time to support different of blended learning needs for a variety of classes and classroom settings. The SingPath platform supports traditional self-directed learning mechanisms such as badges and completion metrics as well as features for use in classrooms, such as tournaments. We evaluate the addition of the mentor assignment feature during two short workshops designed to introduce students to the Python and JavaScript programming languages. The introduction of the mentor assignment features provided a more collaborative and engaging experience compared with previous courses.

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2014 IEEE 27th Conference on Software Engineering Education and Training (CSEE&T)

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