Artificial Intelligence has been beneficial (AI) from primary school to a postgraduate level in so many ways. AI has been a trend in student guidance as well as in teacher competency enhancements. The benefits of AI for college students range from financial aid application to drop a course. On the other hand, the teachers in colleges and universities emulate human knowledge through AI and provide comprehensive training to students. AI helps higher education by analyzing student data and identifying failing, dropping, and health issues. Furthermore, personalized learning platforms help teachers in universities help students manage full or partial course content and provide their feedback on a subject(Elana, 2019). 

AI helps students in managing everything from autonomous vehicles to game computing for computer science students. Moreover, the implementation of AI in higher education helps facilitate the learning and teaching process by increasing the educational process's efficacy and efficiency. AI helps by collecting large sets of data quicker than the average human efficiency of analysis that allows institutions to predict students' behavioral learning habits.  Although AI has benefits for higher education, there are still limitations (Elana, 2019). 


AI tends in so many ways: robots, self-driving cars, medical equipment, satellite and imaging, smart parking, aerospace,  and more trending in higher education to these days providing postgraduate diplomas, graduate and undergraduate levels of education based on AI. The best example is the application of AI in self-driving cars and sophisticated robots. AI also works a lot in health care and medical laboratories, from predicting patterns to assisting researchers in finding result-oriented research. The promise of AI is not without adverse outcomes, and the most prominent shortcoming is data. AI can provide an efficient result only if the data is real and enough to predict patterns. Hence, there are different factors to consider while implementing AI in higher education. These are tutors: the software implemented in higher education shall understand the tutor's requirements. Second, AI shall consider addressing the interests of the headmistresses. Addressing the needs of the headmistresses helps in managing the missions of the institution. Third, managers shall also focus on addressing financial, social, and economic related institutional objective performance. Fourth, AI can also bring dangers to the educational system unless appropriately used, and the best example is when students are overloaded with curricular activities that are not adequately planned. Moreover, it can create a gap of not making a professional relationship between the student and mentor instead; students will be spending more time with AI(Bryan, 2019). To conclude, globalization has brought many dramatic changes that need highly efficient AI-enabled software globally in higher education. 


References


Bryan, A. (2019). 5 AIs in Search of a Campus. Retrieved from https://er.educause.edu/articles/2019/10/5-ais-in-search-of-a-campus

Elana, Z. (2019). Artificial Intelligence in Higher Education: Applications, Promise and Perils, and Ethical Questions. Retrieved from https://er.educause.edu/articles/2019/8/artificial-intelligence-in-higher-education-applications-promise-and-perils-and-ethical-questions


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