Using Web Analytics Methods to Design Open Web-Based University Courses : Case Study on Creative Work with Information Course
| Authors | |
|---|---|
| Year of publication | 2023 |
| Type | Article in Proceedings |
| Conference | New Media Pedagogy : Research Trends, Methodological Challenges and Successful Implementations |
| MU Faculty or unit | |
| Citation | |
| web | https://link.springer.com/chapter/10.1007/978-3-031-44581-1_16 |
| Doi | http://dx.doi.org/10.1007/978-3-031-44581-1_16 |
| Keywords | design process; Google Analytics; hypertext textbooks; Learning analytics; OER; web-based courses |
| Description | Hypertext-based or web-based courses are a specific category of e-learning courses for which students do not have to register anywhere. For the actual operation, content management systems (CRM systems) are used to structure the content graphically and efficiently, work quickly with the universal design concept, or ensure responsive course design. While with conventional e-learning platforms or MOOC course tools, content creators can work with relatively well-structured data from their analytical tools and rely on standard web analytics methods. The study analyses the use of Google Analytics for the design of web-based courses using the example of one hypertext course (Creative Information Work). The study answers questions about how web analytics metrics can be used to design course content and format and to support the search for appropriate synchronous educational supplements. The study highlights the variability of each category and the potential of Google Analytics to serve as a tool for a design approach to developing educational objects of this kind. |
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