EFFECTS OF ARTIFICIAL INTELLIGENCE EDUCATION ON STUDENTS’ LITERACY

Autores/as

  • Khalid Ahmed
  • Yang Qingyi
  • Irfan Abbas
  • Ahmad Faizuddin
  • Ruqia Saba Ashraf
  • Cai Xiaoshu

DOI:

https://doi.org/10.18623/rvd.v23.4436

Palabras clave:

AI Literacy, Educational Access, Education Quality, Educational Innovation, Learning Attitude, Inclusive Education

Resumen

As artificial intelligence becomes increasingly integrated into higher education, AI literacy has emerged as a critical competence for university students. This study explores how AI-related educational experiences, frequency of AI tool usage, learning attitudes, and engagement influence students' AI literacy. Grounded in constructivist learning theory, data were collected from 330 undergraduates, master's, and doctoral students at three universities in Hebei Province, China. A quantitative approach was employed, with descriptive statistics, correlation analysis, and multiple regression conducted using SPSS to examine the proposed relationships. The results reveal that both learning attitude and engagement significantly and positively predict AI literacy, indicating that students with proactive mindsets and active participation tend to achieve higher proficiency. In contrast, usage frequency shows a negative association with AI literacy, suggesting that over-reliance on AI tools may hinder critical thinking and deeper understanding. These findings highlight the need for universities to strengthen AI-related courses, foster positive learning attitudes and engagement, and guide students in the appropriate use of AI tools. This study provides empirical evidence for the development of AI literacy and offers practical recommendations for curriculum design, aligned with Sustainable Development Goal 4: inclusive education.

Citas

Ahmed, K.; Ali, S.; Habib, M. A.; Khaleel, B.; Khan, N. A.; Ashraf, R. S. Pragmatic perception of politeness in disagreement by Pakistani ESL learners. Pakistan Journal of Life and Social Science, v. 22, n. 2, p. 10889–10913, 2024. DOI: 10.57239/PJLSS-2024-22.2.00822

Ahmed, Z.; Ahmed, K.; et al. Manipulation of Pakistani women through skin-whitening advertising discourse. In: PROCEEDINGS OF THE 2019 3RD INTERNATIONAL CONFERENCE OF MANAGEMENT ENGINEERING, SOFTWARE ENGINEERING AND SERVICE SCIENCES. New York: ACM, 2019. p. 107–111. DOI: 10.1145/3312662.3312705

Ahmed, Z.; Su, L.; Ahmed, K. Pakistani youth manipulated through night-packages advertising discourse. Human Systems Management, v. 36, n. 2, p. 151–162, 2017. DOI: 10.3233/HSM-171762

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.

Bhatt, P., & Muduli, A. (2024). AI learning intention, learning engagement and behavioral outcomes: An empirical study. Journal of Management Development, 43(6), 920–938. https://doi.org/10.1108/JMD-11-2023-0403

Carolus, A., Koch, M. J., Straka, S., Latoschik, M. E., & Wienrich, C. (2023). MAILS–Meta AI literacy scale: Development and testing of an AI literacy questionnaire based on well-founded competency models and psychological change- and meta-competencies. Computers in Human Behavior: Artificial Humans, 1(2), 100014. https://doi.org/10.1016/j.chbah.2023.100014

Chen, M., Yang, Y., Yang, Q., Chen, J., & Chen, W. (2025). Intelligent agents empowering higher education transformation: Paradigm reconstruction based on DeepSeekR1 and practical exploration of “Zheda Xiansheng”. Modern Educational Technology, 35(5).

Chen, Y., Wang, S., & Sun, Z. (2023). Effects of higher education institutes’ artificial intelligence capability on students' self-efficacy, creativity and learning performance. Education and Information Technologies, 28(5), 4919–4939.

Crompton, H., & Burke, D. (2023). Artificial intelligence literacy in higher education. TechTrends, 67(5), 870–882. https://doi.org/10.1007/s11528-023-00829-8

Economides, A. A., & Perifanou, M. (2024, June). University students using ChatGPT in project-based learning. In Workshop on Digital Transformation in Higher Education (pp. 27–39). Cham: Springer Nature Switzerland.

Karagiannidis, C., Karamatsouki, A., & Chorozidis, G. (2023). Report on smart education in Greece. In Smart Education in China and Central & Eastern European Countries (pp. 131–154). Singapore: Springer Nature Singapore.

Khaleel, B.; Nordin, U. K. U. M.; Ahmed, K.; Anjum, E. Societal stigmatization and support mechanism for rape victims: an analysis of linguistic features of rape judgments in Pakistan. Pakistan Journal of Life and Social Science, v. 22, n. 2, p. 980–994, 2024. DOI: 10.57239/PJLSS-2024-22.2.0069

Kong, S. C., Wong, T. L., & Lam, C. C. (2023). Developing artificial intelligence literacy in K-12 education for informed citizenship: A framework and instructional design. Computers and Education: Artificial Intelligence, 4, 100123. https://doi.org/10.1016/j.caeai.2023.100123

Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1–16). ACM.

Malik, S. Qin, H. Said, M.K. Ahmed, K. (2020). Quantitative Analysis of the Foreign Language Anxiety: Chinese and Pakistani Postgraduates in Focus. The Arab World English Journal (AWEJ), 11(1.23), 315-330. https://dx.doi.org/10.24093/awej/vol11no1.23

Miao, F., Holmes, W., Huang, R., & Zhang, H. (2021). AI and education: A guidance for policymakers. Paris: UNESCO Publishing.

Mohd Amin, M. R., Ismail, I., & Sivakumaran, V. M. (2025). Revolutionizing Education with Artificial Intelligence (AI)? Challenges, and Implications for Open and Distance Learning (ODL). Social Sciences and Humanities Open, *11*, 101308.DOI:10.1016/j.ssaho.2025.101308

Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041.

Nong, Y., Cui, J., He, Y., Zhang, P., & Zhang, T. (2024). Development and validation of an AI literacy scale. Journal of Artificial Intelligence Research, 1(1), 17–26.

Nong, Y., Wu, Z., & Ye, Z. (2024). Enhancing university students’ AI literacy: A mixed-method study on curriculum integration. Education and Information Technologies, 29(2), 1123–1142. https://doi.org/10.1007/s10639-023-11857-6

Piaget, J. (1977). The development of thought: Equilibration of cognitive structures. New York: Viking Press.

Qin, F., Li, K., & Yan, J. (2020). Understanding user trust in artificial intelligence‐based educational systems: Evidence from China. British Journal of Educational Technology, 51(5), 1693–1710.

Teixeira, A. I., Martins, S., Lima, S., Pinto, F., Morgado, T., & Valentim, O. (2025, March). A mixed methods approach to understanding mental health literacy among university health students. In Healthcare (Vol. 13, No. 7, p. 724). MDPI.

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University Press.

Wang, K., Cui, W., & Yuan, X. (2025). Artificial intelligence in higher education: The impact of need satisfaction on artificial intelligence literacy mediated by self-regulated learning strategies. Behavioral Sciences, 15(2), 165.

Wang, Y., Li, X., & Huang, J. (2025). Promoting AI literacy in higher education: Curriculum design and student engagement strategies. Journal of Educational Technology Development and Exchange, 18(1), 45–62. https://doi.org/10.18785/jetde.1801.03

Wu, D., Sun, X., Liang, S., Qiu, C., & Wei, Z. (2025). Construction of AI literacy evaluation system for college students and an empirical study at Wuhan University. Frontiers of Digital Education, 2(1), 6.

Wu, T. M., Chan, E. A. H., Wong, H. S. M., & Chan, J. K. (2025). Perceived artificial intelligence literacy and employability of university students. Education+ Training, 67(2), 258–274. https://doi.org/10.1108/ET-07-2023-0212

Wut, T. M., Chan, E. A. H., Wong, H. S. M., & Chan, J. K. (2025). Perceived artificial intelligence literacy and employability of university students. Education+ Training, 67(2), 258–274. https://doi.org/10.1108/ET-07-2023-0212

Yang, Q. F., Lian, L. W., & Zhao, J. H. (2023). Developing a gamified artificial intelligence educational robot to promote learning effectiveness and behavior in laboratory safety courses for undergraduate students. International Journal of Educational Technology in Higher Education, 20(1), 18.

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Publicado

2026-04-28

Cómo citar

Ahmed, K., Qingyi, Y., Abbas, I., Faizuddin, A., Ashraf, R. S., & Xiaoshu, C. (2026). EFFECTS OF ARTIFICIAL INTELLIGENCE EDUCATION ON STUDENTS’ LITERACY. Veredas Do Direito, 23(7), e234436. https://doi.org/10.18623/rvd.v23.4436