Quantitative monitoring in the structure of educational sciences using equation modeling and metaheuristic algorithms

The prospect of using artificial intelligence includes examining educational concepts on how to enrich teachers, how students learn, and how to make accurate and fast decisions in higher education institutions. This is important because the workload has multiplied due to the massification of higher education. In such a scenario, the help of artificial intelligence is very necessary. The issue of acceptance of artificial intelligence in higher education is an important issue in this perspective. The purpose of this study is to investigate how it is adopted by stakeholders. For this, we have taken help from many acceptance theories and models, including the "Unified Theory of Acceptance and Use of Technology" (UTAUT) model. We have developed hypotheses and a conceptual model and validated it through a survey with the help of usable feedback from ۳۲۹ respondents. It has been found that this model can help authorities to facilitate the adoption of artificial intelligence in higher education.

Keywords:

:meta-heuristic algorithms - optimization - Efficiency , Higher Education