UseCasesFor.ai

AI Use Cases

A collection of over 250 uses for artificial intelligence

A continually updated list exploring how different types of AI are used across various industries and AI disciplines,including generative AI use cases, banking AI use cases, AI use cases in healthcare, AI use cases in government, AI use cases in insurance, and more

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Personalised tutoring

Introduction

AI has already permeated across various fields all over the world and education is no exception. In particular, the current generation of AI technology, the Gen AI, is changing the face of the personal tutoring in the education sector. Individual tutoring, which was once done by people, is now being transformed by AI’s capacity to provide customized educational materials and individualized learning processes. The next generation of AI, with more sophisticated machine learning, is assisting in developing individualised learning plans according to the student’s potential and learning abilities. These changes in education are paving way for the new age of individualized learning which has the potential of enhancing students’ achievement.

Challenges

There are, however, a number of issues that need to be taken into consideration with regards to the use of AI in education as with any new technology. The problem of data privacy and security is perhaps one of the biggest concerns. Since the AI systems are known to gather and process large amount of information regarding the students, there are issues that arise with the storage, usage and protection of such data. Also, the integration of AI in schools is costly in terms of technological equipment and teachers’ professional development, which may be a problem for many schools, and especially those in low-income communities. Last but not the least, there is the problem of the digital divide which may be compounded by AI – the difference between those with easy access to technology and those without.

AI Solutions

Despite all of these challenges, there are solutions that AI can bring to the education industry that can transform it. Another area, Gen AI, can be used to address and even overcome most of these challenges. For instance, there are ways that AI algorithms can be developed in a way that will ensure the data privacy and security for example through the use of differential privacy and federated learning. Concerning the infrastructure and training, AI has the possibility to offer cost-efficient solutions. For instance, the cloud-based AI systems can help in reducing the costs of expensive hardware while the AI-enabled teacher training can improve the digital competence of teachers at a cheaper rate. Also, AI can assist in the reduction of the gap between the ‘haves’ and the ‘have-nots’ by offering tailored learning experience to the students regardless of their location or background.

Benefits

There is a wide range of advantages of Gen AI in the context of personalised tutoring. It can set up individualised ways of learning, which enable students to learn at their own speed and with the methods that suit them best. This has the potential of enhancing students’ interest and performance. Also, AI can help teachers to understand the student’s progress which makes the teacher to become more effective in his or her teaching practice. Furthermore, AI can help to level the playing field in education by providing students with high quality personalised learning regardless of their geographical location.

Return on Investment

It is possible to get a high ROI when AI is applied in the area of personalised tutoring. Although, it is important to note that the investment may be high initially, the returns in the long run concerning the improvement of student achievement, time that teachers will save, and efficiency of the system can be beneficial. For instance, a research done by Center for Technology in Learning revealed that AI enriched educational software could enhance students’ achievement by 50% and the time students spent on studying could be reduced by 30%. This indicates that the return on investment of AI in education may be high.

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