Personalized Online Learning: Context Driven Massive Open Online Courses

2. Related Works

Notwithstanding that there are several types of learning online platforms, the lack of motivation still represents one of the most remarkable causes, which can ultimately lead to drop out. One of the predicted solutions is using learners' context to personalize the platform settings where user context is a mandatory parameter in the design of learning systems. It required a fundamental analysis of users' needs to use the right context variable, which guarantees adequate learning experience for each learner based on his habits. Therefore, adaptation can be defined as a system's capacity to deal with particular cases and adjust the environment accordingly.

According to Marie et al. (2011), there are two perspectives for managing the learning/teaching process; the first is the learner-based approach, and the second is the teacher-based approach. Many research papers have discussed personalized learning and suggested models and architectures that tackled the problem in reference to these two perspectives: