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Reactin oppiminen ChatGPT:n tuella : tehokkaan kommunikoinnin salat

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Reactin oppiminen ChatGPT:n tuella : tehokkaan kommunikoinnin salat

The purpose of the thesis was to find out how ChatGPT can be used effectively to support learning React programming and what challenges it contains. The study specifically focused on interactions with ChatGPT, providing guidance and concrete examples from conversations held with the AI. The idea of the work arose from the author’s personal need to learn React as efficiently as possible, expanding the idea so that it resulted in a comprehensive guide for teachers, students and others interested in the topic. This guide, in addition to the thesis, is available on a website, offering a thorough understanding of leveraging ChatGPT and other language models for educational support. The theoretical framework of the thesis is based on central concepts of artificial intelligence, machine learning, natural language processing, and React development, without forgetting the ethical and social perspective of utilizing artificial intelligence in different fields, focusing on education and especially programming. The study used a method where information was gathered from diary entries for 30 days. Analyzing this data helped understand the study process, the challenges faced and what was achieved with ChatGPT. The thesis is functional, and as evidence of the learning achieved, a single-page website was developed using React. This website gathers instructions and examples for effectively utilizing and communicating with ChatGPT. In conclusion, the use of ChatGPT to support studying is a valuable addition to traditional learning methods, but its effective use requires the ability to communicate clearly and an understanding of the limitations of the tool. In the future, it would be good to develop cooperation between artificial intelligence-based applications and learning processes, and to investigate more closely how artificial intelligence can support individual learning paths. Keywords ChatGPT, React, Artificial Intelligence, learning, programming Pages 83 pages and appendices 1 page

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