Intelligent Systems Applications in Inclusive Education Management: A Systematic Mapping Study
Annotatsiya
Inclusive education management is a crucial field that strives to provide equal access to education for all students, regardless of their background or ability. The recent advancements in intelligent systems and artificial intelligence (AI) technologies have spurred interest in their application in the realm of inclusive education management. In this systematic mapping study, we present a comprehensive overview of the current state-of-the-art in intelligent systems applications for inclusive education management. Our primary contribution is the development of a content taxonomy that categorizes the different types of intelligent systems used in inclusive education management, and the identification of the areas where these systems can make a significant impact. Our rigorous review of the literature included peer-reviewed articles, conference proceedings, and other relevant sources. We found that personalized learning, student support, teacher training, and accessibility are among the areas where intelligent systems can enhance the inclusivity of education management. Our study also revealed that machine learning, natural language processing, and computer vision are the most commonly utilized intelligent systems in this domain. Our findings shed light on the current trends and future directions of intelligent systems applications in inclusive education management, which can inform educators, researchers, and policymakers in their efforts to improve education equity and accessibility.