Reinforcement Learning Approach to Solve: PBL Markov Model

PBL is an educational approach that centers on learners actively engaging with open-ended problems rather than just absorbing predetermined content. This method encourages in-depth understanding and the development of problem-solving skills. Notably, the Markov PBL approach doesn’t focus on providing answers but instead emphasizes the cultivation of valuable skills and attributes. These include attention to detail, enhanced coordination, and the strengthening of group dynamics and communication. The field of pedagogy has experienced a significant impact worldwide due to the pandemic. This global crisis led to the temporary closure of schools, colleges, and universities. In response, many educational institutions swiftly adopted online learning as the primary mode of instruction. Online learning encompasses various courses delivered entirely via digital platforms, with the exception of Massive Open Online Courses (MOOCs). Compared to traditional brick-and-mortar classroom settings, online learning via virtual classes conducted over the internet offers a different set of advantages. It provides learners with opportunities to enhance their skills through practical application and critical assessment. Additionally, it facilitates the retrieval of consolidated knowledge and encourages continuous learning within a collaborative team environment. This study aims to explore both the advantages and disadvantages of applying the Markov PBL method within the context of online learning. While the benefits are apparent, there are also challenges and limitations associated with this approach, which we will delve into further.