Customized Pedagogical Recommendation Using Automated Planning for Sequencing Based on Bloom's Taxonomy

2. Automated Planning And Action Sequencing

A systematic literature review described in da Costa et al. (2019) presented the AP application advances, limitations, and challenges in the pedagogical process and pointed to AP as an essential tool for interfacing the e-learning requirements and delivering personalized content. However, suppose there are many actions or parameters in the student profile, the state space of action sequences increases. In that case, the classical AP with Planning Domain Definition Language (PDDL) is impracticable when it comes to the search for a solution. Dwivedi et al. (2018) describe that in this case, GA is more suitable for dealing with this PA issue since it can minimize the computational effort.