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Utilization of two web-based continuing education courses evaluated by Markov chain model
Hao Tian1, Jin-Mann S Lin, William C Reeves
1Chronic Viral Diseases Branch, Division of High-Consequence Pathogens and Pathology, Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA. ejq7@cdc.gov
Journal of the American Medical Informatics Association : JAMIA
|October 7, 2011
Summary
Web structure significantly impacts online course navigation. Modifying design flaws in web-based continuing education reduced dropout rates, demonstrating the value of Markov chain models for evaluating educational websites.
Area of Science:
- Educational Technology
- Web Analytics
- Online Learning
Background:
- Continuing education courses are increasingly delivered online.
- Evaluating user navigation patterns is crucial for optimizing web-based learning experiences.
- Website structure can significantly influence learner engagement and course completion.
Purpose of the Study:
- To analyze the web structure and navigation of two online continuing education courses.
- To identify design flaws within the course websites.
- To assess the impact of website modifications on user activity and course outcomes.
Main Methods:
- Markov chain models were developed using web usage data from 2008.
- User navigation paths were collected and analyzed between 2008 and 2010.
- Website design issues were addressed in one course, and outcomes were compared over 12 months.
Main Results:
- Actual web usage models mirrored the courses' sequential design, with limited use of skip transitions.
- Two design flaws were identified and rectified in one course.
- The modified course showed a significant decrease in dropout rate (41% to 35%), while the unmodified course remained unchanged.
Conclusions:
- Web structure design is more influential than content on learner navigation in online courses.
- User navigation analysis effectively identifies and guides the correction of web design flaws.
- Markov chain models are valuable tools for evaluating web-based educational platforms, particularly for public health education specialists.
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