AI with supporting technologies entrusts diversity and inclusion in research issues for underrepresented students in educational applications

This study aims to see that diversity and inclusion can be considered in educational AI applications where the research issues of underrepresented students are there. It is known that the role of AI is very helpful in student learning, and the delivery of learning material by the teachers. Hence, we try to cover this gap which other researchers ignore through bibliometric analysis in education. The results of the analysis show that in 2019-2022 the trend tends to increase dramatically on these issues involving the latest technology. We believe that engaging AI on social, health/medical, and cultural/literacy issues will eliminate the discrimination that places equity on under represented students according to the findings. Meanwhile, machine learning, deep learning, chat bot, robotics, and NLP are even more rife when juxtaposed with the Covid 19 happens at the same time. The role of AI really contributes to prediction, assessment/evaluation, adaptive learning systems, and intelligent tutoring system in education which in turn makes it easier for underrepresented students to gain access, and teachers who carry out learning activities in it.