Knowledge management models as a mechanism for adaptation of higher education to the requirements of society and the knowledge economy

UDC 316.4
DOI 10.20339/AM.05-26.042

Victor V. Konoplev, Assistant Professor, Department of Psychology and Education, School of Arts and Humanities (SAH), Far Eastern Federal University, Vladivostok, e-mail: kon_victor10@mail.ru, SPIN code: 1498-6923, https://orcid.org/0000-0001-8515-0152

Modern higher education is on the brink of transformation due to the intensive development of large language models, which are changing the very nature of data processing and the production of information and knowledge. The work functions of routine knowledge workers have gradually been replaced by computer programs based on large language models. This is due to their ease of use in obtaining information. Blind trust in the answers provided by large language models is also noticeable, setting a dangerous precedent that could lead to the loss of human thinking due to its complete replacement by machines. In this regard, a return to the ideas embodied in the concepts of the ‘knowledge society’ and the ‘knowledge economy’, in which human, personal knowledge is the engine of progress, is becoming increasingly relevant. Consequently, the primary goal of higher education should be the formation of an educated individual, the core of which is epistemic metacompetence, achievable through an educational process built on the logic of knowledge management. The question remains about the rigid nature of the institutionalization of practices based on knowledge management methodology and what possibilities for mitigating them will allow students to create new human knowledge.

Keywords: knowledge management, knowledge economy, university adaptation, artificial intelligence, large language models, philosophy of education

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