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Developing Students' Information Security Competence in the Age of Generative Ai: a Quasi-experimental Study in Uzbek Higher Education

Year: 2026

Type: article

Abstract: Generative AI tools are now part of students' everyday academic work, but the information security risks involved are rarely covered in curricula. Students leak their own and other people's data into external systems, rely on fabricated output and fall for AI-enhanced social engineering. This paper reports a quasi-experimental study of a pedagogical model designed to develop students' information security competence in the context of AI tools. The model is based on a pedagogical classification of AI related threats into four groups (input data, output, access and account, cognitive-behavioural), a five-stage learning technology in which simulation and reflection are mandatory, and five pedagogical conditions.

Source: Multidisciplinary Journal of Science and Technology

DOI: 10.5281/zenodo.23375828

Author: Mustafoyev Shahzod

Language: English

Topic: Information and Cyber Security

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: diamond

OpenAlex ID: W7221753740

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