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What is Unimodal AIGC

Transforming Education With Generative AI: Prompt Engineering and Synthetic Content Creation
It describes a type of AI content generation where the input and output belong to the same modality such as text, image, video, or audio. In other words, it generates predictions or content within the same medium as the provided input.
Published in Chapter:
Standing on the Shoulders of Generative AI
Lay Kee Ch'ng (City University Malaysia, Malaysia)
DOI: 10.4018/979-8-3693-1351-0.ch001
Abstract
Generative AI has been gaining popularity in 2023 and it is causing a disruption of various standards in the education system. While the pros and particularly the cons of this technology have been extensively debated, this chapter aims to explore the positive aspects of Generative AI—instead of advocating for a ban. This chapter will first provide an overview of the historical context and evolution of AI. It will be followed by a discussion of different types of Generative AI and the principles of co-creation with it. The uses of Generative AI in education will be described, focusing on the key stakeholders such as educators, students, educational administrators, and schools or institutions. Next, the chapter will explore the Generative AI application across different fields as well as various subjects in education. Several use cases, practices, and their associated benefits will be presented. Finally, the future and the implications of Generative AI will be discussed.
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