Article Per Year (5 Year)
p-Index From 2021 - 2026
1.532
P-Index
This Author published in this journals
All Journal Pelita - Jurnal Penelitian Mahasiswa UNY Jurnal Ilmiah Pendidikan Fisika Science Education and Application Journal Jurnal Pena Karakter : Jurnal Pendidikan Anak dan Karakter Sangkalemo Jurnal Pendidikan IPA Indonesia PRIMER: Journal of Primary Education Research
Adhy Putri Rilianti
Unknown Affiliation
Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Education Energy Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Other

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
Development of a Deep-AI Learning Model to Improve Generation Z’s Scientific Literacy through a Deep Learning Approach and AI Integration Wilujeng, Indrawati; Ain, Trise Nurul; Rilianti, Adhy Putri; Hasyim, Faiz
Jurnal Ilmiah Pendidikan Fisika Vol 9, No 3 (2025): OCTOBER 2025
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jipf.v9i3.16836

Abstract

Scientific literacy is a key competency needed in the era of Smart Society 5.0. However, studies indicate that the scientific literacy of Generation Z remains low. This can be attributed to the implementation of learning models that are less relevant to the characteristics of their generation, commonly referred to as digital natives. Furthermore, an approach that can make in-depth learning meaningful yet enjoyable is also needed. One possible alternative is to develop an AI-based learning model using a deep learning approach. This study aims to develop a valid and practical Deep-AI learning model to improve the scientific literacy of Generation Z. The method used was research and development (R&D) with a model developed by Borg and Gall (limited to step seven). The model was validated by three education experts and tested on a limited sample of 25 Generation Z students. The results of the study stated that a) the Deep-AI model is valid based on an average validation score of 3.69, which is categorized as very valid, and b) the Deep-AI model is practical based on the average observation result of model implementation of 3.68, which is categorized as very good. Therefore, it can be concluded that Deep-AI is valid and practical. This model can serve as an alternative learning approach aimed at enhancing the scientific literacy skills of Generation Z students.      
Co-Authors Ardy Fajar S. Faiz Hasyim Hasyim, Faiz Hs, Atika Maulidina Huda, M. Misbachul Indrawati Wilujeng Indrawati Wilujeng M. MISBACHUL HUDA Maskanatul Fiqiyah Saryanto Saryanto Slamet Widodo Slamet Widodo Sudarjat Sudarjat Tiok Wijanarko Trise Nurul Ain Trise Nurul Ain Vieto Budi Utomo Wahyu Nugroho Wahyu Nugroho Wulida Arina Najwa Yunitasari , Dinda Ayu