Investigation of users' preferences in interactive multimedia learning systems: a data mining approach

Kyriacos Chrysostomou; Sherry Y. Chen; Xiaohui Liu

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Investigation of users' preferences in interactive multimedia learning systems: a data mining approach

机译：交互式多媒体学习系统中用户偏好的调查：一种数据挖掘方法

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With advances in information and communication technology, interactive multimedia learning systems are widely used to support teaching and learning. However, as human factors vary across users, they may prefer the design of interactive multimedia learning systems differently. To have a deep understanding of the influences of human factors, we apply a data mining approach to the investigation of users' preferences in using interactive multimedia learning systems. More specifically, a clustering technique named K-modes is used to group users' preferences. The results indicate that users' preferences could be divided into four groups where computer experience is a key human factor that influences their preferences. Implications for the development of interactive multimedia learning systems are also discussed.

机译：随着信息和通信技术的进步，交互式多媒体学习系统被广泛用于支持教学。但是，由于人为因素因用户而异，因此他们可能会更喜欢交互式多媒体学习系统的设计。为了深入了解人为因素的影响，我们使用数据挖掘方法来调查使用交互式多媒体学习系统的用户的偏好。更具体地说，一种名为K-modes的聚类技术用于对用户的偏好进行分组。结果表明，用户的偏好可以分为四类，其中计算机体验是影响其偏好的关键人为因素。还讨论了交互式多媒体学习系统的开发意义。

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来源
《Interactive Learning Environments》 |2009年第2期|151-163|共13页
作者
Kyriacos Chrysostomou; Sherry Y. Chen; Xiaohui Liu;
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作者单位

School of Information Systems, Computing and Mathematics, Brunel University, UK;

School of Information Systems, Computing and Mathematics, Brunel University, UK;

School of Information Systems, Computing and Mathematics, Brunel University, UK;

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原文格式 PDF
正文语种 eng
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关键词
multimedia; human factors; data mining; clustering; K-modes;

机译：多媒体;人为因素;数据挖掘;集群K模式;

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机译：在基于Web的交互式学习系统中对用户社区进行分组：数据挖掘方法

Investigation of users' preferences in interactive multimedia learning systems: a data mining approach

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