Knowledge management and artificial intelligence in higher education
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Abstract
Artificial Intelligence (AI) has a transformative potential in education, generating benefits and challenges. Considering the numerous debates due to the rapid advance of AI, this study is part of a master's research with the objective: to identify the state of the art of research on Artificial Intelligence in Education (IAED), organizing and categorizing information to support researchers, teachers and managers in decision-making through knowledge management. A scoping review was carried out with studies published between 2021 and 2025, following up on previous reviews. The articles selected from the Web of Science database are indexed in the Social Sciences Citation Index, which guarantees the quality of the works analyzed. After the selection process, 230 articles were included in the study from a total of more than 700 works in the area of education. The methodology adopted is qualitative and exploratory, using content analysis and descriptive statistics of some data from the articles. The results show significant progress in AIED research, including its implementation with its ethical use and impacts on higher education. There is a need for awareness and proper guidance of students, as well as regulation of the use of AI, ensuring data security and mitigation of algorithmic biases in the educational context.
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References
Akour, M., e Alenezi, M. (2022). Higher education future in the era of digital transformation. Education Sciences, 12(11), 784. https://doi.org/10.3390/educsci12110784
Akpan, I. J., Kobara, Y. M., Owolabi, J., Akpan, A. A., e Offodile, O. F. (2025). Conversational and generative artificial intelligence and human–chatbot interaction in education and research. International Transactions in Operational Research, 32(3), 1251-1281. https://doi.org/10.1111/itor.13522
Arksey, H., e O'Malley, L. (2005). Scoping studies: towards a methodological framework. International journal of social research methodology, 8(1), 19-32. https://doi.org/10.1080/1364557032000119616
Barcaui, A., e Monat, A. (2023). Who is better in project planning? Generative artificial intelligence or project managers?. Project Leadership and Society, 4, 100101. https://doi.org/10.1016/j.plas.2023.100101
Barreto, Urpi; Abarca, Yasser. Integration of the SECI model and ChatGPT in higher education. Heliyon, 2025.https://doi.org/10.1016/j.heliyon.2025.e42814
Bonsu, Emmanuel and Baffour-Koduah, Daniel, From the Consumers’ Side: Determining Students’ Perception and Intention to Use ChatGPTin Ghanaian Higher Education (March 07, 2023). Available at SSRN: https://ssrn.com/abstract=4387107 or http://dx.doi.org/10.2139/ssrn.4387107
Cox, A.M. Exploring the impact of Artificial Intelligence and robots on higher education through literature-based design fictions. Int J Educ Technol High Educ 18, 3 (2021). https://doi.org/10.1186/s41239-020-00237-8
Cheng, E. C., Koul, R. B., Wang, T., & Yu, X. (Eds.). (2022). Artificial Intelligence in Education: Emerging Technologies, Models and Applications: Proceedings of 2021 2nd International Conference on Artificial Intelligence in Education Technology (Vol. 104). Springer Nature. http://dx.doi.org/10.1007/978-981-16-7527-0
Choi, E. P. H., Lee, J. J., Ho, M. H., Kwok, J. Y. Y., e Lok, K. Y. W. (2023). Chatting or cheating? The impacts of ChatGPT and other artificial intelligence language models on nurse education. Nurse Education Today, 125, 105796–105796. https://doi.org/10.1016/j.nedt.2023.105796
Dalkir, K. (2017). Knowledge management in theory and practice. routledge. https://bit.ly/3Xqowhq
Damaševičius, R. (2024), "Commentary: ChatGPT-supported student assessment – can we rely on it?", Journal of Research in Innovative Teaching e Learning, Vol. 17 No. 2, pp. 414-416. https://doi.org/10.1108/JRIT-09-2024-195
Dennis, M. J. (2018). Artificial intelligence and higher education. Enrollment Management Report, 22(8), 1-3. https://doi.org/10.1002/emt.30470
Dobrinskaya, D. E. (2020). Digital society: Sociological perspective. Moscow State University Bulletin. Series 18. Sociology and Political Science, 25(4), 175-192. https://doi.org/10.24290/1029-3736-2019-25-4-175-192
Jensen, L. X., Buhl, A., Sharma, A., e Bearman, M. (2024). Generative AI and higher education: a review of claims from the first months of ChatGPT. Higher Education, 1-17. https://doi.org/10.1007/s10734-024-01265-3
Ferrer, X., van Nuenen, T., Such, J. M., Cote, M., e Criado, N. (2021). Bias and discrimination in AI: A cross-disciplinary perspective. IEEE Technology and Society Magazine, 40(2), 72–80. https://doi.org/10.1109/MTS.2021.3056293
Fonseca, L. M. (2018, March). Industry 4.0 and the digital society: concepts, dimensions and envisioned benefits. In Proceedings of the international conference on business excellence (Vol. 12, No. 1, pp. 386-397). Bucharest, Romania: Sciendo. https://doi.org/10.2478/picbe-2018-0034
Forno, L. F. D., Teixeira, T. M., Natal, I. da P., Medina, T. S., e de Souza, D. Z. L. (2023). Processo de aprendizagem e sala de aula: a aquisição do conhecimento. Caderno Pedagógico, 20(7), 2903–2921. https://doi.org/10.54033/cadpedv20n7-025
Gabriel, M. (2022). Inteligência Artificial: Do Zero a Superpoderes. Grupo GEN. https://bit.ly/3F2c40Z
Garcia Castro, R. A., Mayta Cachicatari, N. A., Bartesaghi Aste, W. M., e Llapa Medina, M. P. (2024). Exploration of ChatGPT in basic education: Advantages, disadvantages, and its impact on school tasks. Contemporary Educational Technology, 16(3), ep511. https://doi.org/10.30935/cedtech/14615
Hoffmann, A. G. (1998). Paradigms of Artificial Intelligence: a methodological and computational analysis. Springer Science e Business Media. https://bit.ly/41ibZO6
Hughes, J. (2005). The role of teacher knowledge and learning experiences in forming technology-integrated pedagogy. Journal of technology and teacher education, 13(2), 277-302. https://www.learntechlib.org/p/26105
Humble, N. Risk management strategy for generative AI in computing education: how to handle the strengths, weaknesses, opportunities, and threats?. Int J Educ Technol High Educ 21, 61 (2024). https://doi.org/10.1186/s41239-024-00494-x
Ivanov, S. (2023). The dark side of artificial intelligence in higher education. The Service Industries Journal, 43(15–16), 1055–1082. https://doi.org/10.1080/02642069.2023.2258799
Jose, E. M. K., Prasanna, A., Kushwaha, B. P., e Das, M. (2024). Can generative AI motivate management students? The role of perceived value and information literacy. The International Journal of Management Education, 22(3), 101082. http://dx.doi.org/10.1016/j.ijme.2024.101082
Khare, K., Stewart, B., e Khare, A. (2018). Artificial intelligence and the student experience: An institutional perspective. The International Academic Forum (IAFOR). https://doi.org/10.22492/ije.6.3.04
Karaoğlan Yılmaz, F. G. (2022). An investigation into the role of course satisfaction on students’ engagement and motivation in a mobile‐assisted learning management system flipped classroom. Technology, Pedagogy and Education, 31(1), 15-34. http://dx.doi.org/10.1080/1475939X.2021.1940257
Kaufman, D. (2022). Desmistificando a inteligência artificial. Grupo Autêntica. https://bit.ly/4boBKAW
Lasi, H., Fettke, P., Kemper, H. G., Feld, T., e Hoffmann, M. (2014). Industry 4.0. Business e information systems engineering, 6, 239-242. https://doi.org/10.1007/s12599-014-0334-4
Lelepary, H. L., Rachmawati, R., Zani, B. N., e Maharjan, K. (2023). ChatGPT: Opportunities and challenges in the learning process of Arabic language in higher education. Journal International of Lingua and Technology, 2(1), 11-23. https://doi.org/10.55849/jiltech.v2i1.439
Mikalef, P., Conboy, K., Lundström, J. E., e Popovič, A. (2022). Thinking responsibly about responsible AI and ‘the dark side’ of AI. European Journal of Information Systems, 31(3), 257–268. https://doi.org/10.1080/0960085X.2022.2026621
Munn, Z., Peters, M. D., Stern, C., Tufanaru, C., McArthur, A., e Aromataris, E. (2018). Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach. BMC medical research methodology, 18, 1-7. https://doi.org/10.1186/s12874-018-0611-x
Neves, M. L. C., Jean Varvakis, G., e Fialho, F. A. P. (2018). People, Processes and Technology in Knowledge Management: A Literature Review/PESSOAS, PROCESSOS E TECNOLOGIA NA GESTÃO DO CONHECIMENTO: UMA REVISÃO DA LITERATURA. Revista de Ciências da Administração, 20(51), 152-168. https://doi.org/10.5007/2175-8077.2018v20n51p152
Pence, H. E. (2019). Artificial intelligence in higher education: New wine in old wineskins?. Journal of Educational Technology Systems, 48(1), 5-13. http://dx.doi.org/10.1177/0047239519865577
Rezaev, A. V., e Tregubova, N. D. (2023). ChatGPT and AI in the universities: an introduction to the near future. Vysshee obrazovanie v Rossii= Higher Education in Russia, 32(6), 19-37. https://doi.org/10.31992/0869-3617-2023-32-6-19-37
Rudolph, J., Tan, S., e Tan, S. (2023). War of the chatbots: Bard, Bing Chat, ChatGPT, Ernie and beyond. The new AI gold rush and its impact on higher education. Journal of Applied Learning and Teaching, 6(1), 364-389. https://doi.org/10.37074/jalt.2023.6.1.23
Ruggles, R. (1997). Knowledge tools: using technology to manage knowledge better. working paper, Ernst e young Center for Business Innovation. https://doi.org/10.4324/9780080509846
Russell, S. J., e Norvig, P. (2022). Inteligência Artificial: Uma Abordagem Moderna (4th ed.). Grupo GEN. https://bit.ly/4inukjF
S. Saúde, JP Barros, I. Almeida, Impactos da inteligência artificial generativa no ensino superior: tendências de investigação e percepções dos estudantes, Soc Sci 13 (2024), https://doi.org/10.3390/socsci13080410.
De Sousa, W. G., de Melo, E. R. P., Bermejo, P. H. D. S., Farias, R. A. S., e Gomes, A. O. (2019). How and where is artificial intelligence in the public sector going? A literature review and research agenda. Government Information Quarterly, 36(4), 101392. https://doi.org/10.1016/j.giq.2019.07.004
Turing, A. M. (2009). Computing machinery and intelligence (pp. 23-65). Springer Netherlands.
Vyas S. (2019) ‘Application of artificial intelligence in public health: A systematic review’, Journal of Advanced Scientific Research, 10(4 Suppl 2), pp. 224–7. http://dx.doi.org/10.1093/bjsw/bcab168.
Wiig, K. M. (1993). Knowledge management foundations: thinking about thinking-how people and organizations represent, create, and use knowledge. Schema Press, Limited. https://bit.ly/4h57rAy