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首页> 外文期刊>Journal of the American Medical Informatics Association : >Utilization of two web-based continuing education courses evaluated by Markov chain model.
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Utilization of two web-based continuing education courses evaluated by Markov chain model.

机译：通过Markov链模型评估的两个基于Web的继续教育课程的使用。

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To evaluate the web structure of two web-based continuing education courses, identify problems and assess the effects of web site modifications.Markov chain models were built from 2008 web usage data to evaluate the courses' web structure and navigation patterns. The web site was then modified to resolve identified design issues and the improvement in user activity over the subsequent 12 months was quantitatively evaluated.Web navigation paths were collected between 2008 and 2010. The probability of navigating from one web page to another was analyzed.The continuing education courses' sequential structure design was clearly reflected in the resulting actual web usage models, and none of the skip transitions provided was heavily used. The web navigation patterns of the two different continuing education courses were similar. Two possible design flaws were identified and fixed in only one of the two courses. Over the following 12 months, the drop-out rate in the modified course significantly decreased from 41% to 35%, but remained unchanged in the unmodified course. The web improvement effects were further verified via a second-order Markov chain model.The results imply that differences in web content have less impact than web structure design on how learners navigate through continuing education courses. Evaluation of user navigation can help identify web design flaws and guide modifications. This study showed that Markov chain models provide a valuable tool to evaluate web-based education courses. Both the results and techniques in this study would be very useful for public health education and research specialists.
机译：为了评估两门基于网络的继续教育课程的网络结构，发现问题并评估网站修改的效果。从2008年的网络使用数据建立了马尔可夫链模型，以评估课程的网络结构和导航模式。然后对网站进行修改以解决已发现的设计问题，并定量评估了随后12个月中用户活动的改善。收集了2008年至2010年之间的网络导航路径。分析了从一个网页导航到另一个网页的可能性。最终的实际Web使用模型清楚地反映了继续教育课程的顺序结构设计，并且没有大量使用提供的跳过过渡。两种不同的继续教育课程的网络导航模式相似。仅在两个课程之一中就确定并修复了两个可能的设计缺陷。在接下来的12个月中，修正课程的辍学率从41％显着降低到35％，但未修正课程的辍学率保持不变。通过二级马尔可夫链模型进一步验证了网络改进的效果。结果表明，网络内容的差异对学习者如何继续学习课程的影响小于网络结构设计。评估用户导航可以帮助您识别网站设计缺陷并指导修改。这项研究表明，马尔可夫链模型提供了评估基于Web的教育课程的有价值的工具。这项研究的结果和技术对于公共卫生教育和研究专家都是非常有用的。

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