Modeling the Impact of Digital Literacy on AI Based Learning Adoption through Perceived Usefulness and Easeof Use

Authors

Keywords:

Digital Literacy, AI Acceptance, AI-Based Learning, Perceived Usefulness, PLS-SEM

Abstract

This research aims to understand the influence of digital literacy on the acceptance of artificial intelligence (AI)-based learning in an educational context. In the era of industrial revolution 4.0, digital literacy is becoming increasingly important, in line with the increasing integration of AI in education. This study uses a survey design and quantitative methodology with purposive sampling on a population of educators and students who have interacted with AI learning technology. The questionnaire instrument used measures variables such as digital literacy, Perceived Usefulness (PU), Perceived Ease of Use (PEOU), and AI acceptance, the validity and reliability of which have been tested. Data analysis was carried out using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS software. Results show that digital literacy has a significant positive relationship with AI acceptance, mediated by perceived usefulness and ease of use. These findings provide the implication that increasing digital literacy can facilitate the adoption of AI in education, underscoring the need for training programs aimed at improving digital skills among educators and students.

References

[1] D. S. S. Wuisan, R. A. Sunardjo, Q. Aini, N. A. Yusuf, and U. Rahardja, “Integrating artificial intelligence in human resource management: A smartpls approach for entrepreneurial success,” Aptisi Transactions on Technopreneurship (ATT), vol. 5, no. 3, pp. 334–345, 2023.

[2] S. Watini, L. Magdalena, T. W. Wirjawan, A. Gunawan, D. Julianingsih, and N. Ivanov, “Social media as a tool for transforming childhood learning mechanisms in edupreneurship,” Aptisi Transactions on Technopreneurship (ATT), vol. 7, no. 1, pp. 109–119, 2025.

[3] H. Tinmaz, Y.-T. Lee, M. Fanea-Ivanovici, and H. Baber, “A systematic review on digital literacy,” Smart Learning Environments, vol. 9, no. 1, p. 21, 2022.

[4] V. I. Mar´ın and L. Castaneda, “Developing digital literacy for teaching and learning,” in Handbook of open, distance and digital education. Springer, 2023, pp. 1089–1108.

[5] M. Del Giudice, V. Scuotto, B. Orlando, and M. Mustilli, “Toward the human–centered approach. a revised model of individual acceptance of ai,” Human Resource Management Review, vol. 33, no. 1, p. 100856, 2023.

[6] S. Kelly, S.-A. Kaye, and O. Oviedo-Trespalacios, “What factors contribute to the acceptance of artificial intelligence? a systematic review,” Telematics and Informatics, vol. 77, p. 101925, 2023.

[7] W. Huo, X. Yuan, X. Li, W. Luo, J. Xie, and B. Shi, “Increasing acceptance of medical ai: the role of medical staff participation in ai development,” International journal of medical informatics, vol. 175, p. 105073, 2023.

[8] A. Hasija and T. L. Esper, “In artificial intelligence (ai) we trust: A qualitative investigation of ai technology acceptance,” Journal of Business Logistics, vol. 43, no. 3, pp. 388–412, 2022.

[9] H. Choung, P. David, and A. Ross, “Trust in ai and its role in the acceptance of ai technologies,” International Journal of Human–Computer Interaction, vol. 39, no. 9, pp. 1727–1739, 2023.

[10] S. I. Lambert, M. Madi, S. Sopka, A. Lenes, H. Stange, C.-P. Buszello, and A. Stephan, “An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals,” NPJ Digital Medicine, vol. 6, no. 1.

[11] N. P. L. Santoso, D. I. Desrianti, D. Darmawan, S. M. Wahid, A. Fitriani, and A. Y. Fauzi, “Optimizing solar energy adoption through technological and economic initiatives,” in 2024 3rd International Conference on Creative Communication and Innovative Technology (ICCIT). IEEE, 2024, pp. 1–6.

[12] G. Dash and J. Paul, “Cb-sem vs pls-sem methods for research in social sciences and technology forecasting,” Technological Forecasting and Social Change, vol. 173, p. 121092, 2021.

[13] M. Relucenti, G. Familiari, O. Donfrancesco, M. Taurino, X. Li, R. Chen, M. Artini, R. Papa, and L. Selan, “Microscopy methods for biofilm imaging: focus on sem and vp-sem pros and cons,” Biology, vol. 10, no. 1, p. 51, 2021.

[14] P. Guenther, M. Guenther, C. M. Ringle, G. Zaefarian, and S. Cartwright, “Improving pls-sem use for business marketing research,” Industrial Marketing Management, vol. 111, pp. 127–142, 2023.

[15] J.-H. Han and H. J. Sa, “Acceptance of and satisfaction with online educational classes through the technology acceptance model (tam): The covid-19 situation in korea,” Asia Pacific Education Review, vol. 23, no. 3, pp. 403–415, 2022.

[16] G. Godwin, S. R. P. Junaedi, M. Hardini, and S. Purnama, “Inovasi bisnis digital untuk mendorong pertumbuhan umkm melalui teknologi dan adaptasi digital,” ADI Bisnis Digital Interdisiplin Jurnal, vol. 5, no. 2, pp. 41–47, 2024.

[17] N. Wilson, K. Keni, and P. H. P. Tan, “The role of perceived usefulness and perceived ease-of-use toward satisfaction and trust which influence computer consumers’ loyalty in china,” Gadjah Mada International Journal of Business, vol. 23, no. 3, pp. 262–294, 2021.

[18] D. Peng and Z. Yu, “A literature review of digital literacy over two decades,” Education Research International, vol. 2022, no. 1, p. 2533413, 2022.

[19] S. B. Shah, C. R. Carlson, K. Lai, Z. Zhong, G. Marsico, K. M. Lee, N. E. F´elix V´elez, E. B. Abeles, M. Allam, T. Hu et al., “Combinatorial treatment rescues tumour-microenvironment-mediated attenuation of malt1 inhibitors in b-cell lymphomas,” Nature materials, vol. 22, no. 4, pp. 511–523, 2023.

[20] E. R. Rahayu, R. Raihan, Z. Ndlovu, S. V. Sihotang, N. Malika, and A. Fitriani, “Long term aging effects on polymer materials photovoltaic modules durability and safety,” International Journal of Cyber and IT Service Management, vol. 4, no. 2, pp. 155–166, 2024.

[21] I. H. Y. Yim and J. Su, “Artificial intelligence (ai) learning tools in k-12 education: A scoping review,” Journal of Computers in Education, pp. 1–39, 2024.

[22] D. T. K. Ng, M. Lee, R. J. Y. Tan, X. Hu, J. S. Downie, and S. K. W. Chu, “A review of ai teaching and learning from 2000 to 2020,” Education and Information Technologies, vol. 28, no. 7, pp. 8445–8501, 2023.

[23] O. V. Sergeeva, A. R. Masalimova, M. R. Zheltukhina, L. S. Chikileva, L. Y. Lutskovskai, and A. Luzin, “Impact of digital media literacy on attitude toward generative ai acceptance in higher education,” in Frontiers in Education, vol. 10. Frontiers Media SA, 2025, p. 1563148.

[24] S. Cengiz and A. Peker, “Generative artificial intelligence acceptance and artificial intelligence anxiety among university students: the sequential mediating role of attitudes toward artificial intelligence and literacy,” Current Psychology, vol. 44, no. 9, pp. 7991–8000, 2025.

[25] C. Wang, H. Wang, Y. Li, J. Dai, X. Gu, and T. Yu, “Factors influencing university students’ behavioral intention to use generative artificial intelligence: Integrating the theory of planned behavior and ai literacy,” International Journal of Human–Computer Interaction, vol. 41, no. 11, pp. 6649–6671, 2025.

[26] L. Pu, J. Liang, J. Wang, N. Zhang, and W. Zhong, “Impact of ai-based learning, digital literacy, information stewardship on learning outcomes,” Profesional de la Informaci´on, vol. 33, no. 5, 2024.

[27] J. Fan and Q. Zhang, “From literacy to learning: The sequential mediation of attitudes and enjoyment in ai-assisted efl education,” Heliyon, vol. 10, no. 17, 2024.

[28] H. Du, Y. Sun, H. Jiang, A. Islam, and X. Gu, “Exploring the effects of ai literacy in teacher learning: An empirical study,” Humanities and social sciences communications, vol. 11, no. 1, pp. 1–10, 2024.

[29] S.-C. Kong, W. M.-Y. Cheung, and G. Zhang, “Evaluating an artificial intelligence literacy programme for developing university students’ conceptual understanding, literacy, empowerment and ethical awareness,” Educational Technology & Society, vol. 26, no. 1, pp. 16–30, 2023.

[30] A. Alam¨aki, C. Nyberg, A. Kimberley, and A. O. Salonen, “Artificial intelligence literacy in sustainable development: A learning experiment in higher education,” in Frontiers in Education, vol. 9. Frontiers Media SA, 2024, p. 1343406.

[31] J. Belda-Medina, M. Goddard et al., “Ai-driven digital storytelling: A strategy for creating english as a foreign language (efl) materials,” International Journal of Linguistics Studies, 2024.

[32] Y. Shi, F. Sun, H. Zuo, and F. Peng, “Analysis of learning behavior characteristics and prediction of learning effect for improving college students’ information literacy based on machine learning,” Ieee Access, vol. 11, pp. 50 447–50 461, 2023.

[33] E. Ervianti, R. Sampelolo, and M. P. Pratama, “The influence of digital literacy on student learning,” Klasikal: Journal of Education, Language Teaching and Science, vol. 5, no. 2, pp. 358–365, 2023.

[34] E. Korol and S. Korol, “Ai-augmented commons governance: Ethical rulemaking and enforcement for sustainable resource management in rural areas,” Journal of Business and Management Studies, vol. 7, no. 5, pp. 09–25, 2025.

[35] D. ¨Ozc¸evik Subas¸i, A. Akc¸a S¨umengen, R. Semerci, E. S¸ ims¸ek, G. N. C¸ akır, and E. Temizsoy, “Paediatric nurses’ perspectives on artificial intelligence applications: A cross-sectional study of concerns, literacy levels and attitudes,” Journal of Advanced Nursing, vol. 81, no. 3, pp. 1353–1363, 2025.

[36] E. Husayn, S. Alrumayh, M. Kasheem, D. Ibrahim, K. Alouzi, N. Shalghoum, and S. Almajri, “The impact of artificial intelligence on knowledge management: Faculty perspectives from the university of zawia’s faculties of economics, management, and law,” Journal of Education and Teacher Training Innovation, vol. 3, no. 1, pp. 52–66, 2025.

[37] H. Zhang, A. Perry, and I. Lee, “Developing and validating the artificial intelligence literacy concept inventory: An instrument to assess artificial intelligence literacy among middle school students,” International Journal of Artificial Intelligence in Education, vol. 35, no. 1, pp. 398–438, 2025.

[38] U. Rahardja, P. A. Sunarya, Q. Aini, S. Millah, and S. Maulana, “Technopreneurship in healthcare: Evaluating user satisfaction and trust in ai-driven safe entry stations,” Aptisi Transactions on Technopreneurship (ATT), vol. 6, no. 3, pp. 404–417, 2024.

[39] J. Arnaud, H. S˜ao Mamede, and F. Branco, “The relationship between digital transformation and digital literacy-an explanatory model: Systematic literature review,” F1000Research, vol. 13, p. 253, 2025.

[40] J. Calleja and P. Camilleri, “Primary school teachers’ perceptions towards the use of generative ai in teaching using lesson study,” International Journal for Lesson & Learning Studies, 2025.

[41] M. F. D¨o˘ger and A. G¨oc¸en, “Artificial intelligence (ai) as a new trajectory in education,” The Journal of Educational Research, pp. 1–15, 2025.

[42] H. Galindo-Dom´ınguez, N. Delgado, M.-V. Urruzola, J.-M. Etxabe, and L. Campo, “Using artificial intelligence to promote adolescents’ learning motivation. a longitudinal intervention from the self-determination theory,” Journal of Computer Assisted Learning, vol. 41, no. 2, p. e70020, 2025.

[43] H. Alisoy, “The impact of ai-powered personalized learning on esl student outcomes,” EuroGlobal Journal of Linguistics and Language Education, vol. 2, no. 2, pp. 89–98, 2025.

[44] L. A. Hollimon, K. V. Taylor, R. Fiegenbaum, M. Carrasco, L. Garchitorena Gomez, D. Chung, and A. A. Seixas, “Redefining and solving the digital divide and exclusion to improve healthcare: going beyond access to include availability, adequacy, acceptability, and affordability,” Frontiers in Digital Health, vol. 7, p. 1508686, 2025.

[45] Jakarta Investment Centre, “Ai global trends, indonesia’s strategy, and jakarta’s future potential,” Invest Jakarta, Feb. 2025, accessed: 2025-10-30. [Online]. Available: https://invest.jakarta.go.id/news/199/ ai-global-trends-indonesias-strategy-and-jakartas-future-potential

[46] J. Siswanto, V. A. Goeltom, I. N. Hikam, E. A. Lisangan, and A. Fitriani, “Market trend analysis and data-based decision making in increasing business competitiveness,” Sundara Advanced Research on Artificial Intelligence, vol. 1, no. 1, pp. 1–8, 2025.

[47] B. Rawat, A. S. Bist, B. S. Riza, A. Oktariyani, and U. Rahardja, “Analysis of examination process during covid and post covid in indian context,” in 2021 9th International Conference on Cyber and IT Service Management (CITSM). IEEE, 2021, pp. 1–5.

[48] S. Kosasi, C. Lukita, M. H. R. Chakim, A. Faturahman, and D. A. R. Kusumawardhani, “The influence of digital artificial intelligence technology on quality of life with a global perspective,” Aptisi Transactions on Technopreneurship (ATT), vol. 5, no. 3, pp. 240–250, 2023.

[49] K. Sunmboye, H. Strafford, S. Noorestani, and M. Wilison-Pirie, “Exploring the influence of artificial intelligence integration on personalized learning: a cross-sectional study of undergraduate medical students in the united kingdom,” BMC Medical Education, vol. 25, no. 1, p. 570, 2025.

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2025-10-10

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Vol. 1 No. 2 (2025): October

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Copyright (c) 2025 Pauline Henriette Pattyranie Tan, Surta Wijaya, Untung Rahardja, Bintang Nandana Henry, Aneira Anjani

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