在网络工程课程中运用社会学习

M. E. S. Vieira, J. López-Ardao, M. Rodríguez-Pérez, C. López-García
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引用次数: 1

摘要

人们普遍认为,当代学生群体在学习过程中见证并体验到信息技术的好处。由于早期接触这些技术,所谓的“数字原住民”获得了不同的工作模式、不同的注意力行为、新的学习偏好,以及在丰富的在线社交环境中学习和工作的更好技能。因此,传统教育体系的发展,并塑造他们的实践,以利用这些新的模式,似乎是合理的。尽管在线社交网络(OSNs)是扩展现有在线学习管理系统(lms)的一个强大工具,可以将其作为网络学习管理系统的门户,但lms并没有充分利用活跃的社交环境的优势来加强学习体验。我们在本文中报告了一个软件平台的设计、开发和使用,该平台扩展和适应了OSN的基本特性,以便于非常通用的学习环境。该软件允许创建、评估和报告一系列基于学生之间社会互动的协作活动,并通过排名和声誉提供奖励机制。我们认为,这种方法有助于提高学生的学习动机,除了改善学习体验和表现。该软件已在一门计算机网络本科课程中进行了测试。不同的测试证实,对学习成功的影响在统计上是显著的和积极的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using social learning in network engineering curricula
It is commonly accepted that contemporary cohorts of students witness and experience the benefits of information technologies in their learning processes. The so-called “digital natives” acquire, as a consequence of their early exposure to these technologies, different patterns of work, distinct attention conducts, new learning preferences and, generally, better skills for learning and working within rich online social contexts. So, it seems reasonable that the traditional education systems evolve, and shape their practice to leverage those new patterns. Though online social networks (OSNs) stand as a powerful tool to extend existing online learning management systems (LMSs) by using them as a gateway to OSNs, LMSs do not exploit fully the advantages of an active social environment for reinforcing the learning experience. We report in this paper the design, development and use of a software platform which enlarges and adapts the basic features of an OSN in order to be useful for very general learning environments. The software allows the creation, assessment and reporting of a range of collaborative activities based on social interactions among the students, and offers a reward mechanism by means of ranking and reputation. We argue that this approach is helpful in increasing the students' motivation, besides improving the learning experience and performance. The software has been tested in an undergraduate course about computer networks. Different tests confirm that the impact on learning success is statistically significant and positive.
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