Artificial Intelligence as an Integral Component of the Digital Culture within Contemporary Higher Education
Abstract
Purpose of the study: Purpose of this study is to formalize a framework for the integration of AI into higher education, predicated on an analysis of cognitive transformations, subjective strategies, and regulatory frameworks for intervention.
Methodology: The methods employed in this study encompass cognitive-discursive calibration, expert rubricative assessment, NLP analysis of academic texts, hybrid modeling of textogenesis, inter-iterative comparative analysis, a dispersion questionnaire of students, an expert scale survey of educators, ontological normative modeling.
Main Findings: Through inter-iterative analysis, a notable increase in argumentative complexity (+14.1%), cognitive complexity (+21.2%), and syntactic complexity (+19.4%) was observed, alongside an enhancement in coherence (+14.6%). Conversely, there was a simultaneous decrease in subjectivity (−7.5%) and a significant increase in AI-discriminant weight (+180.2%). Instances of complete generation were recorded in 16% of cases, indicative of hyperdelegation and the erosion of intentionality; the survey revealed epistemological polarization regarding the AI perception. In response to these identified factors, a stratified framework has been developed, prioritizing cognitive non-delegation, semantic traceability, and subjective accountability, which aims to ensure the stabilization of cognitive sovereignty and digital autonomy.
Novelty/Originality of this study: The scientific novelty of this study lies in developing a formalized framework for integrating artificial intelligence into higher education, emphasizing cognitive traceability, subjective accountability, and normative stratification. This framework systematically aligns AI-mediated educational processes with ethical standards and pedagogical imperatives, ensuring responsible technological integration that supports transparency, learner agency, and sustainable academic governance within digital learning environments.
References
M. F. Shahzad, S. Xu, and M. Asif, “Factors affecting generative artificial intelligence, such as ChatGPT, use in higher education: An application of technology acceptance model,” Brit. Educ. Res. J., vol. 51, no. 2, pp. 489–513, Oct. 2025, doi: 10.1002/berj.4084.
A. L. Overono and A. S. Ditta, “The rise of artificial intelligence: A clarion call for higher education to redefine learning and reimagine assessment,” Coll. Teach., vol. 73, no. 2, pp. 1–4, Jul. 2023, doi: 10.1080/87567555.2023.2233653.
T. T. T. Linh, T. T. M. Huong, and N. Thammachot, “Sustainable nutrient management for NFT hydroponic lettuce: Integrating kipahit (Tithonia diversifolia) liquid organic fertilizer with AB-Mix,” Integr. Sci. Educ. J., vol. 6, no. 3, pp. 240–248, 2025, doi: 10.37251/isej.v6i3.2118.
E. N. Putri, M. Mahdavi, and M. S. Awlqadir, “An analysis of students’ motivation and their achievement in learning English at the Department of English Education,” J. Lang. Lit. Educ. Res., vol. 2, no. 1, pp. 43–50, 2025, doi: 10.37251/jolle.v2i1.1698.
R. Rokhmayanti and B. Fauzi, “Engaging minds: The effectiveness of illustrated story handouts in teaching chemical bonding,” J. Chem. Learn. Innov., vol. 2, no. 1, pp. 113–119, 2025, doi: 10.37251/jocli.v2i1.1967.
O. Horban, O. Protsenko, V. Tytarenko, O. Bulvinska, and O. Melnychenko, “Cultural economics: The role of higher education institution in shaping the value systems,” Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, vol. 1, pp. 128–132, Jan. 2022, doi: 10.33271/nvngu/2022-1/128.
O. Horban, M. Stadnyk, R. Martych, A. Mishchuk, and M. Mishchuk, “The role of higher education in the formation of humanitarian security of the state,” Conhecimento & Diversidade, vol. 16, no. 43, pp. 302–321, Jul. 2024, doi: 10.18316/rcd.v16i43.11850.
M. R. A. Islami, M. Zafari, and S. Anjum, “Wearable energy harvester: Application of piezoelectric sensors in shoes as a portable power source,” Integr. Sci. Educ. J., vol. 6, no. 3, pp. 249–257, 2025, doi: 10.37251/isej.v6i3.2117.
E. Nurjanah and R. P. Laguatan, “Enhancing plant diversity learning with an ethnobotany-based e-booklet: A focus on the Pandeglang community,” J. Acad. Biol. Biol. Educ., vol. 2, no. 1, pp. 58–68, 2025, doi: 10.37251/jouabe.v2i1.1989.
O. Horban and R. Martych, “Bioethical discourse of humanitarian security,” Studia Warmińskie, vol. 61, pp. 113–125, Dec. 2024, doi: 10.31648/sw.10788.
A. Asrawati, L. T. T. Hai, and S. Bakhtiari, “Language style used in Elysium movie by Neill Blomkamp,” J. Lang. Lit. Educ. Res., vol. 2, no. 1, pp. 33–42, 2025, doi: 10.37251/jolle.v2i1.1665.
N. N. Le and M. Z. Aye, “The effect of integrating green sustainable science and technology into STEM learning on students’ environmental literacy,” Integr. Sci. Educ. J., vol. 6, no. 3, pp. 232–239, 2025, doi: 10.37251/isej.v6i3.2116.
N. Annamalai, B. Bervell, D. O. Mireku, and R. P. K. Andoh, “Artificial intelligence in higher education: Modelling students’ motivation for continuous use of ChatGPT based on a modified self-determination theory,” Comput. Educ.: Artif. Intell., art. no. 100346, Jun. 2025, doi: 10.1016/j.caeai.2024.100346.
N. Alqahtani and Z. Wafula, “Artificial intelligence integration: Pedagogical strategies and policies at leading universities,” Innov. High. Educ., no. 2, pp. 665–684, Oct. 2025, doi: 10.1007/s10755-024-09749-x.
H. N. Afriani and A. Widodo, “Designing a green chemistry-based practical guide: Enhancing learning on reaction rates and chemical equilibrium,” J. Chem. Learn. Innov., vol. 2, no. 1, pp. 73–80, 2025, doi: 10.37251/jocli.v2i1.1922.
A. A. Kambuna, Q.-U. Jatoi, and M. Jlassi, “Language function of selected cosmetics advertisement in online media,” J. Lang. Lit. Educ. Res., vol. 2, no. 1, pp. 71–84, 2025, doi: 10.37251/jolle.v2i1.1836.
S. Septiana and J. Asidi, “Reproductive health literacy enhancement through school-based health education for adolescents,” J. Health Innov. Environ. Educ., vol. 2, no. 1, pp. 61–67, 2025, doi: 10.37251/jhiee.v2i1.2005.
U. Pagallo, “Algo-rhythms and the beat of the legal drum,” Philos. Technol., vol. 31, pp. 507–524, 2018, doi: 10.1007/s13347-017-0277-z.
D. Padua, “Artificial intelligence and quality education: The need for digital culture in teaching,” J. Educ. Cult. Psychol. Stud. (ECPS), no. 30, 2025, doi: 10.7358/ecps-2024-030-padd.
A. Qutieshat, Artificial Intelligence in Higher Education. Singapore: Springer Nature Singapore, 2025, doi: 10.1007/978-981-97-9989-3.
I. Levin, N. Bukhshtaber, and K. Minyar-Beloruchev, “Generative AI in the information society: Implications for higher education and research,” BRAIN. Broad Res. Artif. Intell. Neurosci., vol. 16, no. 1, p. 10, 2025, doi: 10.70594/brain/16.1/1.
K. Nikolopoulou, “Generative artificial intelligence and sustainable higher education: Mapping the potential,” J. Digit. Educ. Technol., vol. 5, no. 1, art. ep2506, Nov. 2025, doi: 10.30935/jdet/15860.
B. Ojha, A. Agrawal, and A. Arya, “Artificial intelligence integration in higher education,” in Adopting Artificial Intelligence Tools in Higher Education, New York, NY, USA: CRC Press, 2025, pp. 1–23, doi: 10.1201/9781003469315-1.
N. Dixon and A. Cox, “Fiction writing workshops to explore staff perceptions of artificial intelligence (AI) in higher education,” AI Soc., vol. 40, pp. 3983–3998, Jan. 2025, doi: 10.1007/s00146-024-02157-x.
S. Mumtaz, J. Carmichael, M. Weiss, and A. Nimon-Peters, “Ethical use of artificial intelligence-based tools in higher education: Are future business leaders ready?,” Educ. Inf. Technol., vol. 30, pp. 7293–7319, 2025, doi: 10.1007/s10639-024-13099-8.
B. N. Abbasi, Y. Wu, and Z. Luo, “Exploring the impact of artificial intelligence on curriculum development in global higher education institutions,” Educ. Inf. Technol., vol. 30, no. 1, pp. 547–581, Oct. 2025, doi: 10.1007/s10639-024-13113-z.
G. Perera, A. Perera, and H. Dissanayake, “Impact of artificial intelligence (AI) tools in Sri-Lankan higher education,” in Driving Quality Education through AI and Data Science, Hershey, PA, USA: IGI Global, 2025, pp. 481–502, doi: 10.4018/979-8-3693-8292-9.ch021.
G. Chami and B. Cockburn, “Higher education in the age of artificial intelligence: Striking a balance between embracing innovation and preserving authenticity,” Caribb. Teach. Scholarsh., vol. 8, no. 1, Jan. 2025.
R. D. Pratama, U. Widiati, and L. N. Hakim, “Effects of human-AI collaborative writing strategy on EFL students’ argumentative writing skills,” Comput. Assist. Lang. Learn., pp. 1–32, May 2025, doi: 10.1080/09588221.2025.2503900.
D. Darmawansah, D. Rachman, F. Febiyani, and G.-J. Hwang, “ChatGPT-supported collaborative argumentation: Integrating collaboration script and argument mapping to enhance EFL students’ argumentation skills,” Educ. Inf. Technol., vol. 30, no. 3, Aug. 2025, doi: 10.1007/s10639-024-12986-4.
A. Yaacoub, Z. Assaghir, and J. Da-Rugna, “Cognitive depth enhancement in AI-driven educational tools via SOLO taxonomy,” in Lecture Notes in Networks and Systems, Cham, Switzerland: Springer Nature, 2025, pp. 14–25, doi: 10.1007/978-3-031-87647-9_2.
Y. Ji, Z. Zhan, T. Li, X. Zou, and S. Lyu, “Human-machine co-creation: The effects of ChatGPT on students' learning performance, AI awareness, critical thinking, and cognitive load in a STEM course towards entrepreneurship,” IEEE Trans. Learn. Technol., vol. 99, pp. 1–14, Jan. 2025, doi: 10.1109/TLT.2025.3554584.
K. Yang, M. Raković, Z. Liang, L. Yan, Z. Zeng, Y. Fan, and G. Chen, “Modifying AI, enhancing essays: How active engagement with generative AI boosts writing quality,” in Proc. 15th Int. Learn. Analyt. Knowl. Conf. (LAK ’25), New York, NY, USA: ACM, 2025, pp. 568–578, doi: 10.1145/3706468.3706544.
K. Zeinalipour, M. Mehak, F. Parsamotamed, M. Maggini, and M. Gori, “Advancing student writing through automated syntax feedback,” arXiv preprint, arXiv:2501.07740, Jan. 2025, doi: 10.48550/arXiv.2501.07740.
B. Doru, C. Maier, J. S. Busse, T. Lücke, J. Schönhoff, E. Enax-Krumova, and M. Tokic, “Detecting AI-generated versus human-written medical student essays: A semi-randomized controlled study,” JMIR Med. Educ., vol. 11, art. no. 62779, May 2025, doi: 10.2196/62779.
M. Bevilacqua, K. Oketch, R. Qin, W. Stamey, X. Zhang, Y. Gan, and A. Abbasi, “When automated assessment meets automated content generation: Examining text quality in the era of GPTs,” ACM Trans. Inf. Syst., vol. 43, no. 2, pp. 1–36, Jan. 2025, doi: 10.1145/3702639.
M. A. Malik and A. I. Amjad, “AI vs AI: How effective are Turnitin, ZeroGPT, GPTZero, and Writer AI in detecting text generated by ChatGPT, Perplexity, and Gemini?,” J. Appl. Learn. Teach., vol. 8, no. 1, pp. 91–101, Jan. 2025, doi: 10.37074/jalt.2025.8.1.9.
M. Qorich and R. El Ouazzani, “Detection of artificial intelligence-generated essays for academic assessment integrity using large language models,” Expert Syst. Appl., vol. 67, no. 2, pp. 68–79, Oct. 2025, doi: 10.1016/j.eswa.2025.128405.
D. Zhao, “The impact of AI-enhanced natural language processing tools on writing proficiency: An analysis of language precision, content summarization, and creative writing facilitation,” Educ. Inf. Technol., vol. 3, no. 6, pp. 8055–8086, Nov. 2025, doi: 10.1007/s10639-024-13145-5.
V. Nikhil, R. Annamalai, and S. Jayapal, “NLP-driven approaches to automated essay grading and feedback,” in Adopting Artificial Intelligence Tools in Higher Education, Boca Raton, FL, USA: CRC Press, 2025, pp. 99–117, doi: 10.1201/9781003470304-5.
N. Gavira Durón and A. L. Jiménez-Preciado, “Exploring the role of AI in higher education: A natural language processing analysis of emerging trends and discourses,” TQM J., 2025, doi: 10.1108/TQM-10-2024-0376.
N. McDonald, A. Johri, A. Ali, and A. H. Collier, “Generative artificial intelligence in higher education: Evidence from an analysis of institutional policies and guidelines,” Comput. Hum. Behav.: Artif. Hum., vol. 3, art. no. 100121, Mar. 2025, doi: 10.1016/j.chbah.2025.100121.
D. Holcombe, “Generative artificial intelligence (Gen-AI) in undergraduate literature courses,” Hispania, vol. 108, no. 1, pp. 39–58, Mar. 2025, doi: 10.1353/hpn.2025.a953555.
T. Chanpradit, “Generative artificial intelligence in academic writing in higher education: A systematic review,” Edelweiss Appl. Sci. Technol., vol. 9, no. 4, pp. 889–906, Apr. 2025, doi: 10.55214/25768484.v9i4.6128.
L. Floridi, “Content studies: A new academic discipline for analysing, evaluating, and designing content in a digital and AI-driven age,” Philos. Technol., vol. 38, no. 2, Apr. 2025, doi: 10.1007/s13347-025-00877-6.
M. Safii, W. Hadi, and M. Harahap, “Talking to machines, writing the self: A discourse analysis of AI-enhanced literary literacy among vocational students,” J. Pragmat. Discourse Res., vol. 5, no. 1, pp. 133–143, 2025, doi: 10.51817/jpdr.v5i1.1295.
A. Ansone, Z. Zālīte-Supe, and L. Daniela, “Generative artificial intelligence as a catalyst for change in higher education art study programs,” Computers, vol. 14, no. 4, p. 154, Apr. 2025, doi: 10.3390/computers14040154.
L. Uttich, K. Yee, and E. Giltner, “The essay is dead (and other thoughts about assessing in the era of AI),” in Advances in Educational Marketing, Administration, and Leadership, Hershey, PA, USA: IGI Global, 2025, pp. 145–178, doi: 10.4018/979-8-3693-6351-5.ch006.
E. L. Nañola, R. L. Arroyo, N. J. T. Hermosura, M. Ragil, J. N. U. Sabanal, and H. B. Mendoza, “Recognizing the artificial: A comparative voice analysis of AI-generated and L2 undergraduate student-authored academic essays,” System, vol. 130, art. no. 103611, Jun. 2025, doi: 10.1016/j.system.2025.103611.
A. Rodafinos, “The integration of generative AI tools in academic writing: Implications for student research,” Soc. Educ. Res., pp. 250–258, Feb. 2025, doi: 10.37256/ser.6220256517.
M. Jaboob, A. M. Al-Ansi, and H. A. Riyadh, “Artificial intelligence in higher education: A PRISMA 2020 review,” Int. J. Educ. Manag., May 2025, doi: 10.1108/IJEM-09-2024-0560.
N. Mountford and Y. Cai, “Towards a flatter ontology of institutional logics: How logics relate in situations of institutional complexity,” Int. J. Manag. Rev., vol. 25, no. 2, pp. 363–383, 2023, doi: 10.1111/ijmr.12313.
J. S. Awingan and S. Ching Wu, “The dual dimension of consciousness: Environment and health as predictors of environmentally friendly behavior,” J. Health Innov. Environ. Educ., vol. 2, no. 1, pp. 94–101, 2025, doi: 10.37251/jhiee.v2i1.2010.
V. D. Anggraini and W. Widodo, “Increasing student awareness of the school environment through the Adiwiyata program,” J. Health Innov. Environ. Educ., vol. 2, no. 1, pp. 130–141, 2025, doi: 10.37251/jhiee.v2i1.2358.
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