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An Introduction to Generative AI Tools for Education 2030

An Introduction to Generative AI Tools for Education 2030
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Author(s): Ramandeep Sandhu (Lovely Professional University, India), Harpreet Kaur Channi (Chandigarh University, India), Deepika Ghai (Lovely Professional University, India), Gagandeep Singh Cheema (Lovely Professional University, India)and Mandeep Kaur (Chitkara University, India)
Copyright: 2024
Pages: 28
Source title: Integrating Generative AI in Education to Achieve Sustainable Development Goals
Source Author(s)/Editor(s): Ruchi Doshi (Universidad Azteca, Mexico), Manish Dadhich (Sir Padampat Singhania University, India), Sandeep Poddar (Lincoln University College, Malaysia)and Kamal Kant Hiran (Sir Padampat Singhania University, India & Lincoln University College, Malaysia)
DOI: 10.4018/979-8-3693-2440-0.ch001

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Abstract

The year 2030 marks a significant juncture in the evolution of education, where Generative Artificial Intelligence (AI) tools are poised to revolutionize the learning experience. In education society, the importance of generative AI is to improve the accessibility of learning at the global level so that personalized learning experiences can be provided to every learner as per their needs. This chapter explores the multifaceted role of generative AI tools in reshaping educational practices, envisioning a future where these tools foster personalized, adaptive, and engaging learning environments. Generative AI tools, characterized by their ability to create and adapt content autonomously, are instrumental in tailoring educational materials to individual learner needs. This chapter surveys the landscape of generative AI applications in education, including content generation, interactive simulations, intelligent tutoring systems, and dynamic learning pathways. These tools aim to provide adaptive, context-aware learning experiences that cater to diverse learning styles and preferences. The adaptability of generative AI tools extends to the creation of personalized learning pathways. By leveraging data analytics and machine learning algorithms, these tools dynamically adjust content delivery, pacing, and complexity, ensuring that each learner's educational journey is optimized for their unique requirements. The discussion encompasses the potential of generative AI tools to support both formal and informal learning settings. Generative AI tools also play a crucial role in promoting inclusivity in education. By generating diverse and culturally relevant content, these tools contribute to breaking down barriers and addressing disparities in access to quality education. This chapter explores how generative AI can be leveraged to create content that resonates with learners from different backgrounds, fostering a more inclusive educational landscape.

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