How Does AI Literacy Redefine Social Responsibility? Exploring the Interplay Between Digital Literacy and Ethical Awareness in Shaping Digital Citizenship (PLS-SEM Approach)

Misbahuljannah; Riqqah Dhian Shefira; Devi Miftahul Jannah; Muh. Yusril Anam; Rosidah

Authors

Misbahuljannah Universitas Negeri Makassar Author
Riqqah Dhian Shefira Universitas Negeri Makassar Author
Devi Miftahul Jannah Universitas Negeri Makassar Author
Muh. Yusril Anam Necmettin Erbakan University Author
Rosidah Universitas Negeri Makassar Author

Keywords:

AI Literacy, Digital Literacy, Digital Citizenship, Ethical Awareness, Social Responsibility

Abstract

The rapid integration of artificial intelligence (AI) into digital learning environments has increased the demand for competencies that support critical, ethical, and responsible technology use. This study examines the influence of AI Literacy, Digital Literacy, and Ethical Awareness on university students’ Social Responsibility. Using a quantitative cross-sectional survey, data were collected from 100 students in the Informatics and Computer Education program. The analysis employed Partial Least Squares–Structural Equation Modeling (PLS-SEM). The results reveal that Digital Literacy (β = 0.397; p = 0.001) and Ethical Awareness (β = 0.615; p = 0.000) positively and significantly affect Social Responsibility, whereas AI Literacy demonstrates a negative but significant effect (β = –0.151; p = 0.022). These findings highlight the need for balanced technological and ethical competencies to cultivate responsible digital citizenship. The study suggests integrating ethical and digital literacy training into higher education curricula and encourages future research involving broader samples and longitudinal designs.

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References

[1] K. Polanco-Levicán and S. Salvo-Garrido, “Understanding Social Media Literacy: A Systematic Review of the Concept and Its Competences,” Int J Environ Res Public Health, vol. 19, no. 14, 2022, doi: 10.3390/ijerph19148807.

[2] M. T. Fülöp, C. A. Ionescu, and D. I. Topor, “Digital business world and ethical dilemmas: a systematic literature review,” Digit Finance, vol. 7, no. 1, pp. 23–41, 2025, doi: 10.1007/s42521-024-00119-y.

[3] D. T. K. Ng, J. K. L. Leung, S. K. W. Chu, and M. S. Qiao, “Conceptualizing AI literacy: An exploratory review,” Computers and Education: Artificial Intelligence, vol. 2, p. 100041, 2021, doi: 10.1016/j.caeai.2021.100041.

[4] E. Suryani, Z. K. Prasetyo, H. Hermanto, and K. Y. Purwanti, “A Comparative Study of Inquiry, STEAM, and STEAM-Based Guided Inquiry (GI-STEAM),” European Journal of STEM Education, vol. 10, no. 1, p. 16, 2025, doi: 10.20897/ejsteme/17191.

[5] D. Long and B. Magerko, “What is AI Literacy? Competencies and Design Considerations,” Conference on Human Factors in Computing Systems - Proceedings, 2020, doi: 10.1145/3313831.3376727.

[6] A. Jobin, M. Ienca, and E. Vayena, “The global landscape of AI ethics guidelines,” Nat Mach Intell, vol. 1, no. 9, pp. 389–399, 2019, doi: 10.1038/s42256-019-0088-2.

[7] Israwati Hamsar, Hajar Dewantara, Hijri Andini, Sulfan Ardiansyah, Nur Afrilia Afrizah, and Muh Getri Putra Hasta, “Analisis Literasi Artifical Intelligence Mahasiswa Pada Perguruan Tinggi,” Journal of Vocational, Informatics and Computer Education, vol. 2, no. 1, pp. 72–81, 2024, doi: 10.61220/voice.v2i1.31.

[8] P. Mayang Syafira Silalahi and E. Dewi Br Tarigan, “Analisis Metode Pls-Sem Dengan Modifikasi Model Utaut2 Pada Penggunaan Chatgpt Oleh Mahasiswa Universitas Sumatera Utara,” Journal of Mathematics Education and Science, vol. 10, no. 1, pp. 2528–4363, 2015.

[9] J. F. Hair, J. J. Risher, M. Sarstedt, and C. M. Ringle, “When to use and how to report the results of PLS-SEM,” European Business Review, vol. 31, no. 1, pp. 2–24, 2019, doi: 10.1108/EBR-11-2018-0203.

[10] M. Hornberger, A. Bewersdorff, and C. Nerdel, “What do university students know about Artificial Intelligence? Development and validation of an AI literacy test,” Computers and Education: Artificial Intelligence, vol. 5, no. September, p. 100165, 2023, doi: 10.1016/j.caeai.2023.100165.

[11] E. Avinç and F. Doğan, Digital literacy scale: Validity and reliability study with the rasch model, vol. 29, no. 17. Springer US, 2024. doi: 10.1007/s10639-024-12662-7.

[12] R. Kumolohadi, F. Mangunsong, and J. Suleeman, “Development and Validation of Ethical Awareness Scale among University Students,” Jurnal Pengukuran Psikologi dan Pendidikan Indonesia, vol. 10, no. 1, pp. 20–31, 2021, doi: 10.15408/jp3i.v10i1.17216.

[13] D. E. Harrison, O. C. Ferrell, L. Ferrell, and J. F. Hair, “Corporate social responsibility and business ethics: conceptualization, scale development and validation,” Journal of Product and Brand Management, vol. 29, no. 4, pp. 431–439, 2020, doi: 10.1108/JPBM-11-2018-2113.

[14] J. F. Hair, J. J. Risher, M. Sarstedt, and C. M. Ringle, “When to use and how to report the results of PLS-SEM,” European Business Review, vol. 31, no. 1, pp. 2–24, Jan. 2019, doi: 10.1108/EBR-11-2018-0203.

[15] J. Henseler, C. M. Ringle, and M. Sarstedt, “A new criterion for assessing discriminant validity in variance-based structural equation modeling,” J Acad Mark Sci, vol. 43, no. 1, pp. 115–135, Jan. 2015, doi: 10.1007/s11747-014-0403-8.

[16] A. Jeyaraj and A. H. Zadeh, “Evolution of information systems research: Insights from topic modeling,” Information & Management, vol. 57, no. 4, p. 103207, Jun. 2020, doi: 10.1016/j.im.2019.103207.

[17] Y. Jordaan and G. Van Heerden, “Online privacy-related predictors of Facebook usage intensity,” Comput Human Behav, vol. 70, pp. 90–96, May 2017, doi: 10.1016/j.chb.2016.12.048.

[18] I. B. Mun and S. Lee, “A longitudinal study of the impact of parental loneliness on adolescents’ online game addiction: The mediating roles of adolescents’ social skill deficits and loneliness,” Comput Human Behav, vol. 136, p. 107375, Nov. 2022, doi: 10.1016/j.chb.2022.107375.

[19] C. Burr, M. Taddeo, and L. Floridi, “The Ethics of Digital Well-Being: A Thematic Review,” Sci Eng Ethics, vol. 26, no. 4, pp. 2313–2343, Aug. 2020, doi: 10.1007/s11948-020-00175-8.

[20] S. M. Coyne et al., “Meltdowns and media: Moment-to-moment fluctuations in young children’s media use transitions and the role of children’s mood states,” Comput Human Behav, vol. 136, p. 107360, Nov. 2022, doi: 10.1016/j.chb.2022.107360.