While designing an intelligent teaching system for the student’s certain fundamental factors needs to be considered. Dunlosky et al. (2013) state that the learning conditions, student ability, material availability and the criterion tasks are important factors that enable in the learning of the students. Educational context is to be based on the need of the students. Improvement in implementation and overall assessment of the students as well as individual assessment is necessary. These factors raise the complexity of understanding the learning outcomes and the academic performance of the students. Some of the intelligent tutoring systems for the students in the rural communities have been elucidated in the following.
In the current world, technology development is ubiquitous. It has become imperative for the educational institutions to embrace the newer technology. However, it is not possible because of the need for economic resources to develop Intelligent Tutoring Systems. In this process the students and the educational institutions need to have the basic computational skills, hardware resources, the cost of the data, infrastructure of the Internet and lexical abilities (Nye, 2015). There are differences and similarities that are observed between these nations. It is important to develop an intelligent tutoring system that is found to be fundamentally useful to the people across the nations. In this process it is imperative for the educational institutions to have culturally sensitive technology. It is important to have a global outreach and a local outreach to instill in the students the fundamental concepts (Nye, 2015). Adopting a homogenous approach in the teaching modules will not benefit the intelligent tutoring system use. There must be a nuanced approach that enables the people to learn about the subject based on their individual cultural context. The research by Nye (2015) states that there should be more researches done in this process to develop the heuristics of the teaching module.