Application of Data-Mining Technology on E-Learning Material Recommendation
Feng-Jung Liu, Bai‐jiun Shih · InTech eBooks · 2010
The proposed LMS supports systematic learning as well as constructive learning, which can effectively guide users through systematic browsing and inquiry. With this function, it works more as a dynamic researching tool than static learning material. On the other hand, the LMS sustains constructive learning. Although the functionality of a topic map is formulaic and systematic, it is also feasible for task-based learning. From the constructive point of view, learners need resources from multiple sources for the purpose of independent research. The mechanism can suffice the exploration of various learning styles, tendencies of interests, and professional abilities. More importantly, this guidance is not provided by teachers working in the classrooms, but by an autonomous system which is supported by a professional team with a wide array of resources. It turns learning into an informationguided dynamic. Therefore, this material helps users to “discover” new knowledge by presenting explicit and implicit knowledge so that they are able to see ideas and concepts that are most unexpected. This process matches the basic principles of constructivist learning. In present E-learning scenes it is difficult to integrate all e-learning platforms from various vendors. However, as digital contents explosively grow, a resource-sharing mechanism should not be built solely for material-inquiring service across diverse e-learning LMS platforms. Thus, we proposed an integrated learning activity-based mechanism to assist users with automatic material recommendation. Thus, we established a prototype and