Utilization of Generative Artificial Intelligence to Improve Students’ Visual Literacy Skills
Volume 10, Issue 2, Page No 42-48, 2025
Author’s Name: Andi Kristanto 1, Utari Dewi 1, Dina Fitria Murad 2*, Yumiati 3, Santi Dewiki 4, Tiara Sevi Nurmania 5
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1 Educational Technology-Universitas Negeri Surabaya, Surabaya, Indonesia
2 Information Systems Department, Binus Online, Bina Nusantara University, Jakarta, Indonesia
3 Mathematics Education Study Program, Universitas Terbuka, Tangerang Selatan, Indonesia
4 Archival Studies Department, Universitas Terbuka, Tangerang Selatan, Indonesia
5 Primary Teacher Education Program, Universitas Terbuka, Tangerang Selatan, Indonesia
a)whom correspondence should be addressed. E-mail: dinafitriamurad@gmail.com
Adv. Sci. Technol. Eng. Syst. J. 10(2), 42-48 (2025); 
DOI: 10.25046/aj100301
Keywords: Gen AI, Visual literacy skills, Quantitative approach, Shapiro-Wilk, Higher education
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This study aims to examine the impact of Gen AI utilization on students’ visual literacy skills using a quantitative approach and data instruments in the form of post-test scores of the control class and experimental class which are analyzed to measure the effectiveness of GEN AI in improving students’ visual literacy skills at four universities. Data processing is carried out through three stages of testing, namely the normality test using Shapiro-Wilk, the homogeneity test of variance with Levene, and the independent sample test to compare the results between two groups of students with questionnaire instruments, observation guidelines, and interviews. The data is processed using a t-test to determine the average difference between groups, especially between the control class that applies conventional learning methods and the experimental class that utilizes GEN AI. The results of the needs analysis show that around 65% of students still have low visual literacy skills based on the quality of graphic media products produced by students. These findings indicate an urgent need to improve visual literacy skills among students, especially in the context of utilizing modern technology such as GEN AI. This research makes a significant contribution to the development of a curriculum that is more responsive to the needs of visual literacy in the digital era, as well as encouraging the integration of technology in the learning process and is expected to be a reference for the development of more innovative and effective learning strategies to improve students’ visual literacy skills in higher education.
Received: 08 March 2025 Revised: 22 April 2025 Accepted: 30 April 2025 Online: 10 May 2025
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