A5027997237- Online Learning and Analytics
- Software System Performance and Reliability
- Health, Medicine and Society
- Linguistics and Discourse Analysis
- Intelligent Tutoring Systems and Adaptive Learning
- Open Education and E-Learning
- Medical and Biological Sciences
- Education and Digital Technologies
- Multimedia Communication and Technology
The University of Western Australia
2018-2019
A significant amount of research effort has been put into finding variables that can identify students at risk based on activity records available in learning management systems (LMS). These often depend the context, for example, course structure, how activities are assessed or whether is entirely online a blended course. To best our knowledge, predictive model generalize well to many different types courses using data LMS does not currently exist analytics literature. In this study, early...
Educational Data Mining (EDM) and Learning Analytics (LA) focus on data analysis of learners in the context educational settings like Moodle, a Management System (LMS). Both EDM LA aim to understand optimise learning processes. Predictive modelling serve key role optimising an LMS covers many different aspects: finding students at risk abandoning course, predicting failing quiz or not reaching end lesson less than 15 minutes. Thus, there are multiple prediction models that can be explored....