Pelatihan ChatGBT kepada Guru di Majelis Pendidikan Muhammadiah kota semarang untuk Peningkatan literasi digital

Muhammad Munsarif(1*), Muhammad Sam'an(2), Samsudi Raharjo(3)


(1) UNIVERSITAS MUHAMMADIYAH SEMARANG
(2) informatika universitas muhammadiyah semarang
(3) Tekhnik mesin, universitas muhammadiyah semarang
(*) Corresponding Author

Abstract


The development of artificial intelligence (AI)--based learning models has made significant progress alongside the abundance of data. This enables the creation of complex deep-learning models to tackle increasingly intricate tasks. Evolving machine learning algorithms become a key factor in enhancing AI model capabilities. The demand for smart and efficient solutions from the business sector drives the adoption of AI technology, supported by advances in sensor technology, the Internet of Things (IoT), natural language processing (NLP), and image recognition. This article highlights the potential impact of AI model development on the learning experience, especially at the Elementary (SD), Junior High (SMP), and Senior High School (SMA) levels. Implementing AI models in elementary and secondary schools can support student progress assessment, provide material recommendations based on student understanding, and develop skills. The study discusses a teacher training initiative using ChatGPT to understand and utilize artificial intelligence in education. Training results show that teachers can effectively create varied and engaging learning materials using ChatGPT. Despite AI's benefits, cultural and social values remain irreplaceable, such as ethics towards teachers and social interactions among students. In conclusion, digital literacy training for teachers is essential to enhance their ability to develop modern and effective learning models, with AI as a valuable tool in creating dynamic and interactive learning environments.


Keywords


Artificial intelligence,Teacher, AI, ChatGBT

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References


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DOI: https://doi.org/10.26714/jsm.6.2.2024.269-275

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Jurnal Surya Masyarakat (JSM)
p-ISSN:  2623-0364; e-ISSN: 2623-0569
Published by: Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Muhammadiyah Semarang