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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Personalising messages to students

Introduction

AI here stands for Artificial Intelligence and when talking about Generative AI or the more specific type, it is changing the education system in a way that makes the communication between the educator and the student more effective. The current generation algorithms are able to learn and hence accommodate the needs of the individual students, this makes it possible for education institutions to offer personalized messages and experiences that help improve learning. Some of the areas of application of Gen AI which include machine learning, natural language processing, and predictive analytics are being applied in the development of adaptive learning environments, personalized feedback and learning pathways.

Challenges

There are however some challenges that come with the use of Gen AI in the education sector even though this technology presents numerous opportunities. These are in the form of challenges in implementing AI systems with current education systems, the need for huge data to train the AI algorithms, ethical and privacy issues that surround the use of student information, the possibility of increasing the existing educational inequalities and the shortage of AI competent workers in the education field. For example, GoGuardian, a well-known provider of educational solutions, struggled with the issue of how to develop an AI-enabled solution that would meet the requirements of the student privacy policies as well as provide a tailored learning process.

AI Solutions

In order to meet these challenges, education technology companies are creating Gen AI solutions that are simple to implement, privacy friendly, and are able to offer tailored interactions. These solutions incorporate machine learning to assess students’ learning styles, natural language processing to offer individualised feedback, and predictive analytics to predict students’ requirements. For instance, the AI-enabled learning management system, Brightspace by D2L, employs predictive analytics to recognize students who are likely to drop off and then offer customized assistance to prevent this from happening. Also, there is Knewton which is an AI-based learning platform that adapts to the student’s learning style by offering specific learning paths.

Benefits

There are numerous advantages of applying Gen AI for customizing the messages to be sent to the students. The following are the advantages of using personalized feedback and tailored learning paths; enhanced learning results, high student engagement and improved efficiency in the education system. It is crucial for students to know their scores and the areas that they need to work on and by providing them with learning paths that are unique to them, they can be able to meet their goals. Georgia State University for instance saw a 22 % improvement in semester to semester retention through the use of an AI based advising system.

Return on Investment

It is possible to realize a high ROI when integrating Gen AI in the education system. For instance, Georgia State University cut the advising costs by $3 million on an annual basis when it deployed an AI-based advising system. Furthermore, by enhancing student retention, the institutions will also enhance their tuition revenue. For example, the University of Arizona saw a 4.3% enhancement in the first-year student retention when it integrated an AI-based learning platform which is equivalent to millions of dollars in terms of tuition revenue.

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