Human–AI Symbiosis in Educational Communication

A Discursive Mapping of Cyborg Pedagogy and Human Cognition

Authors

DOI:

https://doi.org/10.21009/communications.8.2.3

Keywords:

cyborg, symbiosis, pedagogy, cognition, Communication

Abstract

In the posthuman situations, the most pressing question today is: What should human be? This question frequently crosses our mind because of the frequent paradigm shift of the pedagogy which is widely believed to have transformative role. Human cognitive process goes through a conspicuous evolutionary process as pedagogy negotiates with the changing of time and the diverse minds of human history. Historicity of pedagogy and the human thought always transform the learners. With the advent of cyber technology, humans have given up the millennium old knowledge acquiring process and intensively collaborated with machines and turned into cyborg. Turning into a cyborg is getting accelerated by human’s increasing dependence on technology. Connectivity between man and machine is so intrinsic and nuanced that man is turning into cyborg because of inescapable interdependence of both these sides. This paper will qualitatively explore human-AI symbiosis process which unprecedently impacts and evolutionizes the present-day pedagogy.

References

Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2(3), 431–440. https://doi.org/10.1007/s43681-021-00096-7

Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the Dangers of Stochastic Parrots. Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–623. https://doi.org/10.1145/3442188.3445922

Bond, M., Khosravi, H., De Laat, M., Bergdahl, N., Negrea, V., Oxley, E., Pham, P., Chong, S. W., & Siemens, G. (2024). A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour. International Journal of Educational Technology in Higher Education, 21(1), 4. https://doi.org/10.1186/s41239-023-00436-z

Boyd, R. L., & Markowitz, D. M. (2025). Artificial intelligence and the psychology of human connection. Perspect Psychol Sci, 21(2), 192-220. https://doi.org/10.31234/osf.io/xqrkw_v1

Clark, A., & Chalmers, D. (1998). The Extended Mind. Analysis, 58(1), 7–19. https://doi.org/10.1093/analys/58.1.7

Dixon-Woods, M., Cavers, D., Agarwal, S., Annandale, E., Arthur, A., Harvey, J., Hsu, R., Katbamna, S., Olsen, R., Smith, L., Riley, R., & Sutton, A. J. (2006). Conducting a critical interpretive synthesis of the literature on access to healthcare by vulnerable groups. BMC Medical Research Methodology, 6(1), 35. https://doi.org/10.1186/1471-2288-6-35

Edwards, A., Edwards, C., Spence, P. R., Harris, C., & Gambino, A. (2016). Robots in the classroom: Differences in students’ perceptions of credibility and learning between “teacher as robot” and “robot as teacher.” Computers in Human Behavior, 65, 627–634. https://doi.org/10.1016/j.chb.2016.06.005

Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2024). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International, 61(3), 460–474. https://doi.org/10.1080/14703297.2023.2195846

Freire, Paulo., Ramos, M. Bergman., Macedo, D. P. ., & Shor, Ira. (2018). Pedagogy of The Oppressed. Bloomsbury Academic.

Garoian, C. R., & Gaudelius, Y. M. (2001). Cyborg Pedagogy: Performing Resistance in the Digital Age. Studies in Art Education, 42(4), 333–347. https://doi.org/10.1080/00393541.2001.11651708

Glikson, E., & Woolley, A. W. (2020). Human Trust in Artificial Intelligence: Review of Empirical Research. Academy of Management Annals, 14(2), 627–660. https://doi.org/10.5465/annals.2018.0057

Guzman, A. L., & Lewis, S. C. (2020). Artificial Intelligence and Communication: A Human–Machine Communication Research Agenda. New Media & Society, 22(1), 70–86. https://doi.org/10.1177/1461444819858691

Haraway, D. Jeanne. (1995). Ciencia, Cyborgs, Y Mujeres La Reinvención De La Naturaleza. Ediciones Cátedra.

Hasib, M., & Islam, Md. S. (2025). How University students in Bangladesh engage with ChatGPT: A qualitative study. PLOS One, 20(9), e0333089. https://doi.org/10.1371/journal.pone.0333089

Hayles, N. Katherine. (1999). How We Became Posthuman: Virtual Bodies in Cybernetics, Literature, and Informatics. The University of Chicago Press.

Hefner, R. W. (2000). Islamic knowledge and education in the modern age. In The New Cambridge History of Islam (pp. 495–520). Cambridge University Press. https://doi.org/10.1017/CHOL9780521844437.021

Herari, N., Rahman, N. A. A. A., & Permatasari, M. A. (2026). Passion, Platform, and Power: A Strategic Framework for Digital Empowerment. In Leveraging Strategic Management for a Sustainable Digital Economy (pp. 1–30). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-5052-3.ch001

Ifenthaler, D., & Schumacher, C. (2016). Student perceptions of privacy principles for learning analytics. Educational Technology Research and Development, 64(5), 923–938. https://doi.org/10.1007/s11423-016-9477-y

Jaakkola, E. (2020). Designing conceptual articles: four approaches. AMS Review, 10(1–2), 18–26. https://doi.org/10.1007/s13162-020-00161-0

Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274

Kumar, K. (2005). Political agenda of education : a study of colonialist and nationalist ideas. Sage Publications.

Macaulay, H. T. B. (1835). Macaulay-Minutes. https://home.iitk.ac.in/~hcverma/Article/Macaulay-Minutes.pdf

Mookerji, R. Kumud. (1998). Ancient indian education : Brahmanical and Buddhist. Motilal Banarsidass.

Nuryadin, A. (2023). Komunikasi dalam Lingkungan Pembelajaran Online: Sebuah Studi Bibliometrik. Communications, 5(1), 333–352. https://doi.org/10.21009/communications.5.1.4

Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, 100020. https://doi.org/10.1016/j.caeai.2021.100020

Parasuraman, R., & Manzey, D. H. (2010). Complacency and Bias in Human Use of Automation: An Attentional Integration. Human Factors: The Journal of the Human Factors and Ergonomics Society, 52(3), 381–410. https://doi.org/10.1177/0018720810376055

Prickett, S. (2007). Guru or Teacher? Shishya or Student? Pedagogic Shifts in South Asian Dance Training in India and Britain. South Asia Research, 27(1), 25–41. https://doi.org/10.1177/026272800602700102

Risko, E. F., & Gilbert, S. J. (2016). Cognitive Offloading. Trends in Cognitive Sciences, 20(9), 676–688. https://doi.org/10.1016/j.tics.2016.07.002

Sanyal, U. (2021). South Asian Islamic Education in the Precolonial, Colonial, and Postcolonial Periods (pp. 283–306). https://doi.org/10.1007/978-981-15-0032-9_67

Selwyn, Neil. (2019). Should robots replace teachers? : AI and the future of education. Medford, MA, USA : Polity Press.

Siggelkow, N. (2007). Persuasion With Case Studies. Academy of Management Journal, 50(1), 20–24. https://doi.org/10.5465/amj.2007.24160882

Slade, S., & Prinsloo, P. (2013). Learning Analytics. American Behavioral Scientist, 57(10), 1510–1529. https://doi.org/10.1177/0002764213479366

Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039

Sohail, A., & Lin, Z. (2025). Recalibrating academic expertise in the age of generative AI. https://doi.org/10.2139/ssrn.5224452

Stojanov, A. (2023). Learning with ChatGPT 3.5 as a more knowledgeable other: an autoethnographic study. International Journal of Educational Technology in Higher Education, 20(1), 35. https://doi.org/10.1186/s41239-023-00404-7

Sun, D., Boudouaia, A., Zhu, C., & Li, Y. (2024). Would ChatGPT-facilitated programming mode impact college students’ programming behaviors, performances, and perceptions? An empirical study. International Journal of Educational Technology in Higher Education, 21(1), 14. https://doi.org/10.1186/s41239-024-00446-5

Tao, S., Lan, M., Wang, M., & Li, H. (2026). Potential risks of generative artificial intelligence integration into K-12 education: A scoping review. Computers and Education: Artificial Intelligence, 10, 100561. https://doi.org/10.1016/j.caeai.2026.100561

UNESCO. (2023, September 7). Guidance for generative AI in education and research. UNESCO. https://www.unesco.org/en/articles/guidance-generative-ai-education-and-research

Viswanathan, Gauri. (2015). Masks of conquest : literary study and British rule in India. Columbia University Press.

Wang, L., Song, R., Guo, W., & Yang, H. (2025). Exploring prompt pattern for generative artificial intelligence in automatic question generation. Interactive Learning Environments, 33(3), 2559–2584. https://doi.org/10.1080/10494820.2024.2412082

Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 45(3), 223–235. https://doi.org/10.1080/17439884.2020.1798995

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0

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Published

2026-07-31

How to Cite

Hossain, E., Ali, H. M., & Urmee, N. (2026). Human–AI Symbiosis in Educational Communication: A Discursive Mapping of Cyborg Pedagogy and Human Cognition. Communications, 8(2), 147–171. https://doi.org/10.21009/communications.8.2.3