http://journal.unnes.ac.id/sju/jktp <p><strong>Indonesian Journal of Curriculum and Educational Technology Studies starting in 2024 migrates to better secure from various unwanted things, including journal hacking and so on. To submit, the author please visit the new website page of our journal at the link<a href="https://journal.unnes.ac.id/journals/jktp" target="_blank" rel="noopener">&nbsp;https://journal.unnes.ac.id/journals/jktp</a></strong></p> <p><strong><em>MIGRATION OFFICIAL STATEMENT&nbsp;<a href="https://drive.google.com/drive/folders/1980A0R8NA3En1577jOx6NI3mWJxsNawB?usp=sharing" target="_blank" rel="noopener">HERE</a></em></strong></p> <p>The Indonesian Journal of Curriculum and Educational Technology Studies (IJCETS) invites academics, researchers, teachers, and practitioners to submit their research manuscripts and book reviews for publication in our esteemed journal. IJCETS covers a wide range of topics in curriculum and educational technology studies, including but not limited to</p> <ul> <li class="show">Curriculum inquiry and curriculum making</li> <li class="show">Learning media and methods</li> <li class="show">Contemporary educational theories and paradigms</li> <li class="show">Digital technology and online learning</li> <li class="show">Curriculum and educational technology for social change</li> </ul> <p>Please refer to our official author guidelines and manuscript template on our Online Journal System (OJS) platform. You can access and download the guidelines and template from the following link: <a href="https://journal.unnes.ac.id/sju/index.php/jktp/">https://journal.unnes.ac.id/sju/index.php/jktp/</a></p> <p>IJCETS is published twice a year, in <strong>April</strong> and <strong>November</strong>. The journal is indexed by: Google Scholar, DOAJ, EBSCO, Sinta, and Garuda.</p> <p>IJCETS is published by the Department of Curriculum and Educational Technology, Faculty of Education and Psychology, Universitas Negeri Semarang (UNNES) in collaboration with the Indonesian curriculum developer association (HIPKIN), the Indonesian educational technology developer association (IPTPI), and the Indonesian educational technology study program association (APS-TPI).</p> <p>For inquiries, please feel free to contact our editorial team: <a href="mailto:[email protected]">[email protected]</a>&nbsp;</p> Universitas Negeri Semarang en-US Indonesian Journal of Curriculum and Educational Technology Studies 2252-6447 http://journal.unnes.ac.id/sju/jktp/article/view/75617 <p>Recent strides in artificial intelligence have given rise to large language models (LLMs), particularly those adepts at deep learning and human language processing. These innovative models, exemplified by ChatGPT, leverage robust transformer algorithms to comprehend and generate text like human language. Despite their prowess, LLMs are prone to hallucinations, presenting inaccuracies as facts. Unraveling the retained knowledge within these models proves challenging. This paper delves into the multifaceted use of ChatGPT as a large language model, exploring its capability to generate concise summaries from extensive text and addressing the phenomenon of hallucinations. Furthermore, the study showcases ChatGPT's proficiency in extracting crucial information from large datasets, such as revealing the top ten cited papers in the realm of artificial intelligence. The manuscript not only illustrates the practical application of artificial intelligence in research but also emphasizes the importance of utilizing these models effectively, particularly in the context of conducting precise literature reviews.</p> <p><strong>Abstrak</strong></p> <p>Kemajuan baru-baru ini dalam kecerdasan buatan telah melahirkan model bahasa besar (LLM), terutama yang mampu memahami pembelajaran mendalam dan pemrosesan bahasa manusia. Model-model inovatif ini, yang diwakili oleh ChatGPT, memanfaatkan algoritma transformer yang mampu untuk memahami dan menghasilkan teks seperti bahasa manusia. Meskipun memiliki kemampuan, LLM rentan terhadap halusinasi, yakni menyajikan ketidakakuratan sebagai fakta. Menggali pengetahuan yang terdapat pada model-model tersebut sangat menarik. Artikel ilmiah ini menggali penggunaan serbaguna ChatGPT sebagai model bahasa besar, mengeksplorasi kemampuannya untuk menghasilkan ringkasan singkat dari teks yang luas dan mengatasi fenomena halusinasi. Selain itu, penelitian ini menyajikan kemampuan ChatGPT dalam mengekstrak informasi penting dari kumpulan data besar, dalam hal ini mengkaji sepuluh artikel yang paling sering dikutip dalam ranah kecerdasan buatan. Artikel ilmiah ini bukan hanya menggambarkan penerapan praktis kecerdasan buatan dalam penelitian, melainkan juga menekankan pentingnya memanfaatkan model-model ini secara efektif, khususnya dalam konteks melakukan tinjauan literatur yang akurat.</p> Hozan Khalid Hamarashid Lina Tofiq Karim Danial Abdulkareem Muhammed ##submission.copyrightStatement## 2023-11-30 2023-11-30 11 2 60 70 10.15294/ijcets.v11i2.75617