AI and Modern Education: Role and Challenges in Modern Era

 AI and Its Effects on Current Education: Opportunities and Problems

These days, artificial intelligence (AI) has gone from being a far-off idea to making a real difference in different fields, and education is one of them. AI is bringing changes to education by introducing personalized learning aids, autograders, and intelligent tutors. Even though the possibilities are substantial, so are the ethical and practical difficulties of using such technology.

Improvements on a Big Scale

Applying AI to education, personalized learning has become very important. Using AI, it is possible to adjust learning activities according to what students are good at, what they find difficult, and their preferred way of learning. Equipment like Khan Academy relies on AI to provide each student with the proper materials at the proper moment.

McKinsey & Company’s report highlights that AI can help teachers handle more challenging duties and support students by managing boring tasks and freeing up more time for them.

Feedback and assessment are given automatically.

Grade assessment and feedback take a lot of effort on behalf of educators. AI is able to manage these processes, mainly focusing on multiple-choice and short-answer exams. Gradescope and similar services use machine learning, which helps teachers grade papers more consistently and make the feedback fairer.

AI can make things more efficient, but it has trouble with grading essays and other artistic work, and there is still a big concern about bias in AI algorithms. According to MIT and Stanford studies, AI systems have the potential to continue biases found in their training information, which might not support some students (Buolamwini & Gebru, 2018).

Educational programs that use Artificial Intelligence

AI tutoring platforms such as Socratic and Carnegie Learning enable students to clarify difficult concepts and understand them right away. Because of this, anyone with an internet connection can get the same one-on-one support as students who have access to private tutors.

Based on the meta-analysis undertaken by the Department of Education, the results suggest that using intelligent tutoring systems can improve student achievements more than using traditional approaches, mainly in math and science (Department of Education, 2018).

Challenges and Considerations of Ethics

At the same time, AI in education causes several ethical and organizational concerns.

• AI systems collect and use a lot of information about students. Using this data in an ethical and secure way is very important. Some parts of the U.S. education system are protected under FERPA, but there are still unprotected areas.

• If the data used to train AI does not cover a wide range of information, these tools can repeat existing patterns of inequality.

• Experts believe that when we overuse AI in education, little attention is given to crucial traits like social skills and caring for others.

Where AI is Going in the Field of Education

In the future, AI will probably be used in schools, working together with, instead of replacing, human teachers. Being able to use data, offer personal learning, and give instant feedback will make it extremely important in education.

For AI to realize its potential, those involved need to join forces to guarantee AI tools are just, understandable, and in line with what education values most. As the World Economic Forum described, the progress of education will be influenced as much by ethics and proper teacher involvement as it is by technology (WEF, 2020).

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The influence of AI is so much bigger than a mere trend in education. Challenges are present, but the perks of personalization, efficiency, and accessibility make it hard to overlook them. If we use AI carefully and consider its ethical side, we can help build education for all that is both forward-looking and welcoming to everyone.

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