Global Journal of Computer Science and Technology, D: Neural & Artificial Intelligence, Volume 23 Issue 2

A Study of Artificial Intelligence in Education Anjana C M Abstract- Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and mimic human cognitive processes. It includes a wide range of tools that enable machines to carry out operations that otherwise need human intelligence. Learning, logical thinking, problem-solving, perception, speech recognition, and language understanding are some of these tasks. One of the key areas where AI will have a profound effect is education. Both students andteachers benefit from enhanced educational experiences because of AI. It offers a personalized learning experience. Although AI in education hasn't received much attention over the years, understanding its concepts, functions, methodology, and applications would provide the groundwork for the development of the education sector. Indexterms: artificial intelligence (AI), chatbots, robotics, virtual reality (VR). I. I ntroduction I is now applied in education in a number of different ways, from chatbots that offer 24/7 student help to personalized learning algorithms that adjust to the needs of each student. Additionally, administrative duties like grading assignments and delivering feedback are being automated using AI- powered technologies. AI is also being used to analyze vast volumes of data in order to find trends and insights that can guide the creation of new educational initiatives and regulations. Artificial intelligence (AI) has the potential to revolutionize the way we think about education. AI-powered tools and technologies are improving the learning experience for students in ways we never thought possible, from personalized learning algorithms to virtual and augmented reality. AI technologies were increasingly being used to personalize education for individual students. By collecting data on a student’s learning style and comprehension level, AI tools can provide personalized feedback and recommendations. AI can process large volumes of educational data to identify trends, patterns, and correlations that can inform education policies and practices. Adaptive learning is a popular AI based method that adjusts the learning experience to match the learning pace and style of each student. Additionally, AI powered tutoring systems can provide personalized support and feedback in real-time enhancing student learning outcomes. To complement conventional teaching materials, AI systems can provide educational content including tests, practice questions, and study guides. AI cal also identify students who are at risk of falling behind or dropping out, allowing educators to intervene early and provide additional support. With AI’s ability to personalize education, students can receive improved academic performances and great engagement in learning process. Not only students, teachers can also benefit from personalized professional development opportunities that can help them strengthen their teaching strategies and stay current with the most recent findings in the field of education with the assistance of AI. II. AI E ducation M odel In AI learning system, learner model is critical for improving independent learning capabilities. It is established based on behavior data of learners generated from the learning process. Learners’ thinking and capability is analyzed to assess their learning abilities. Then knowledge analysis is mapped to obtain learners’ knowledge mastery. Learner modeling establishes connections between learning results and various factors including learning materials, resources and teaching behaviors [1]. Knowledge model establishes knowledge structure map with detailed learning contents, usually including expert knowledge, rules of making mistakes often made by learners and misunderstanding [2]. Combining knowledge field model and learner model, teaching model determines the rules to access knowledge field, which enables instructors to tailor teaching strategies and actions. Learners are likely to behave favorably, take action, or ask for assistance as education progresses. The built-in teaching ideas of tutoring models can be used by AI systems to always be ready to offer assistance. User interface explains learners’ performance through multiple input media (voice, typing and click) and provides output (texts, figures, cartoons and agencies). The sophisticated human-machine interface offers AI- related capabilities such natural language interaction, speech recognition, and learner emotion detection. The customization and personalization of curriculum and content in accordance with students' needs, abilities, and capabilities is a significant way that AI has been used to improve students' learning [3]. AI in education has also eliminated some barriers to access to learning opportunities, such as national and international borders, enabling global access to learning through online and web-based platforms [3][4]. A Author: Assistant Professor, Department of Software Development, St. Albert’s College (Autonomous), Ernakulam, India. e-mail: anjanasethu95@gmail.com © 2023 Global Journals Global Journal of Computer Science and Technology Volume XXIII Issue II Version I 55 ( )D Year 2023