An Investigation on Students Learnings & Mental Health Influenced by Artificial Intelligence

Abstract

Artificial intelligence has impacted student’s social, emotional, and physical well-being. It has resulted in how a person thinks and reacts to a particular situation. The Purpose of this investigation is to test the effectiveness of learning patterns on our mental health. It can affect a student’s energy level, concentration, dependability, and mental ability. On the other hand, AI can automate the process of grading assignments and providing feedback to students, which can save teachers a lot of time and can focus more on student interaction. It is essential to ensure that AI systems used in education are unbiased and fair. We read articles about the connection between artificial intelligence and mental health that use mood rating scales and classified them into the pros and cons of artificial intelligence. In our college, we will also carry out a poll that shows how Artificial intelligence has harmed and benefited the students. Therefore, it is crucial to carefully examine the benefits and risks of AI in education and implement appropriate safeguards to ensure that it is used ethically and responsibly. Public mental health based on artificial intelligence engineering has a wide range of application and development prospects in enhancing the effectiveness of instruction, achieving high efficiency and intelligence, and enhancing specialized education. The use of artificial intelligence-based public mental health in business administration teaching effects has highly favorable importance for precisely determining the mental health and teaching effects of business administration students. We develop a method for the influence of public mental health on the teaching effect of the business administration profession based on artificial intelligence engineering to improve the teaching- learning effect of the business administration major. ( Keywords:- Learnings, Mental Health, and Artificial Intelligence )