Artificial Intelligence in Enhancing Quality of Education: SEM Approach

The study’s overarching goal is to gain a feel for how different types of educators see the potential for AI to improve classroom learning. The fundamental function of artificial intelligence (AI) in attaining a fruitful learning environment is the focus of this investigation. A quantitative research strategy known as an exploratory research design was utilized in the investigation. Students' information is collected from Bangalore city’s Autonomous Institutions. The study’s total sample size was 76 educators, recruited using a convenience sample method. Both SPSS and AMOS were used to analyze the data. The results of the study indicate that teachers have a favorable impression of the ability of AI features to improve academic performance in specific subjects. Educators have found that students' academic performance is greatly improved when they use AI’s collaborative features in conjunction with methods of instruction that go beyond the typical classroom. By including educators' viewpoints in analyzing the effects of AI on subject area education, this study exemplifies methodological innovation. Colleges in Bangalore that are considered independent and have the authority to develop their own curricula with the usage of AI are the subject of this study. Educators' views on AI’s functions and roles are the focus of this study, which hopes to shed light on the topic for educational organizations and policymakers in the field. The stakeholders can classify the functions that aren't contributing anything and decide whether to keep them or eliminate them.