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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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Introduction
AI has become an important part of many sectors and education is one of them. Machine learning, one of the main branches of AI, has the capacity to learn and solve problems and this has created new possibilities for personalized learning. Another subtype of AI which is currently growing and contributing to the specific needs of students is the so-called Generative AI or Gen AI, that is transforming the education industry. Gen AI is a class of AI that can process information, gain knowledge, transform it, and apply it to various tasks that require intelligence, as a human being does. In this long-form article, the author will discuss the challenges that hinder the integration of Artificial Intelligence in education, how Generative AI solves these challenges, the impact, the ROI and the practical applications.
Challenges
There are several challenges that affect the integration of AI in the education industry. The first one is the problem of data privacy since educators and AI developers have to deal with the issue of privacy and security of students’ data. The second one is the issue of standardization: developing an AI system that can integrate with all kinds of learning institutions is a difficult task because of the different curricula and learning approaches used by various institutions. The high initial investment that may be required for the integration of AI in the system may discourage some schools from adopting the system. Also, there is the ‘digital divide’ issue – the difference between the ‘have’s’ and the ‘have nots’ in the technology aspect which may worsen the disparity in the education system.
AI Solutions
Gen AI has a number of suggestions for these obstacles. For example, it is able to learn and adapt to different curricula so that standardisation is not a major issue. Referring to data privacy, Gen AI systems can incorporate several features that make data protection effective thus protecting students’ data. To overcome the problem of digital divide, governments and other organizations need to provide the necessary infrastructure for students to access the AI learning facilities. In terms of the cost, although it is costly in the short run, the future prospects and costs effectiveness of the system may be advantageous.
Benefits
There are a lot of advantages of using Gen AI in education as well. Firstly, it can help to enhance the engagement of the students and improve the results through providing personalized learning experiences according to the student’s requirements and learning preferences. Secondly, it can perform routine tasks, thus leaving more time for the teachers to teach. Thirdly, it can offer real time analysis to enable the teachers to track the performance of the students and any problem they may be having. Lastly, it is scalable, meaning that it is possible to teach large numbers of students while at the same time maintaining high standards of education.
Return on Investment
There is a high return on investment (ROI) when implementing Gen AI in education since the following benefits can be achieved. Through automation, schools are able to cut on certain costs such as the administrative ones, at the same time enhancing the learning process for the students through individualized approach. A study by eSchool News revealed that the schools that adopted AI recorded a 34% improvement in student pass rates and a 18% improvement in student retention. These enhancements offer the potential of increasing the enrollment numbers and receipt of more funds for the schools, which is a high return on investment.