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An Analysis of Artificial Intelligence-Powered Websites On Writing Process

Tiana, Livira (2024) An Analysis of Artificial Intelligence-Powered Websites On Writing Process. Skripsi, Tarbiyah dan Keguruan.

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ABSTRAK.pdf

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ABSTRAK

Artificial intelligence has been used as a powerful tool in education. The use of artificial intelligence in improving English writing skills through websites has great potential to help individuals improve their writing skills in an effective, efficient, and affordable way. This research will analyze several existing AI-based websites that can help in writing process.The research design used to achieve the result in this study is qualitative research. The research method employed in this study is content analysis. The technique used in this research is documentation. In this study, the researcher analyzed the data by observing the contents of the selected websites that have artificial intelligence technology to improve english writing. There are 7 artificial intelligence-powered websites that very useful for writing process. The results show that these websites can be categorized into three parts according to their usefulness in the writing process. The three categories are AI-based websites for writing resources, AI-based websites for journals review and AI-based websites for paraphrasing. AI-based websites for writing resources include Perplexity AI and ConnectedPapers. AI-based websites for journals review are HumataAI and TLDR This and AI-based websites for paraphrasing Among them are Quillbot, Smodin.io and Paraphraser.io. Artificial intelligence is the sophistication of technology in nowadays that is very biased to help or can be an assistant for its users. Through this research, researcher suggest using artificial intelligence technology to improve writing proficiency through these websites.

Item Type: Skripsi
Subjects: P Language and Literature > PE English
Depositing User: FAHMI FAHMI FAHMI
Date Deposited: 18 Jan 2024 13:41
Last Modified: 18 Jan 2024 13:41
URI: http://idr.uin-antasari.ac.id/id/eprint/25826

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