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The application of AI in the educational sector has brought about several beneficial changes. From admin procedures to classroom assessments AI made the system progressive. As technology is advancing day by day changes are yet to come.

Well when it comes to the flipside, an AI-based educational system has lots of challenges too. Before engaging with the Amazing AI advancements one should have stable electrification and high-speed internet connection. Availability of devices is also a crucial factor. We know many regions that are well equipped with all these facilities. But there are still some regions on our planet where AI integration into education is a pressing issue to deal with.

AI can assess a student and can also give suggestions on higher education. But the criteria used by the systems include financial aid and student information system given during admission. So AI creates rules for higher education purely based on this. Machine learning algorithms will perform according to the initial data set and make biased decisions. These may not be ideal. For example, A student who studies well but not from a strong financial background cannot opt for heavy fees structured courses. This assessment will really become a failure. The admission procedure will not run in a fair manner. 

 The AI and ML systems completely relied on data management systems. Data management systems are outsourced in most cases. So if bias is detected, responsibilities are not taken by anyone. It’s not possible to blame the software developers. So the responsibility cannot be given to an individual. If stable progress is not achieved by students the same question will arise. Blaming neither the learning platform nor the student and teacher will be effective. Identifying the faults in the system is difficult and cannot be attributed to a single source. So it’s recommended to have frequent contact with the service provider and to take decisions after proper evaluation of the circumstances. 

As the system has only narrowly defined goals, human perceptions are missed out. Human interaction cannot be removed completely from the educational system.No AI system can teach culture, practical work experience, discipline, etc… So it’s important for students to spend some time with their teachers. 

As the learning platforms are designed based on a common interest, it’s quite natural that a conflict of interests may arise. The application of personalized individual learning can only solve this problem. Students who are struggling in different subjects cannot put up with early warning systems and predictive analysis. 

AI has lots of negative impacts on education. LazinessLaziness in students, maintenance of electrical devices, less human interaction, errors in internet connections are few among them. We all know that the world is becoming a single village with the advancement of AI. It’s our responsibility to clear the errors made by AI and use them in a convenient way. Technologies are really wonderful but we should remember that humans are giving proper inputs to make this output wonder.