New standards of media literacy: ethics of interaction with AI and overcoming biases in vocational training: electronic training special course

- Хмарна, Лілія Віталіївна (orcid.org/0000-0001-9451-4763) (2026) New standards of media literacy: ethics of interaction with AI and overcoming biases in vocational training: electronic training special course [Teaching Resource]

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Abstract

The relevance of this course is driven by the need to ensure the cognitive security of participants in the educational process within vocational education institutions amidst the intensive integration of generative technologies. The rapid transformation of the information landscape and the widespread adoption of artificial intelligence systems underscore the importance of maintaining the professional authenticity of learning. For vocational education professionals, it is increasingly critical to develop the ability to distinguish verified technical data from artificially generated content, which may contain hidden biases, technical inaccuracies, or distorted algorithmic models. The capacity to critically evaluate and ethically apply innovative digital tools in the practical training of skilled workers has become a fundamental component of a master's or instructor's professional culture. This skill set is essential to minimize the risks of misinformation, prevent destructive informational influences, and foster robust media immunity skills among students. The goal of the course is to form and develop the digital, ethical, and media literacy competencies of vocational education staff. The course focuses on mastering critical analysis of artificially generated data, adopting ethical standards for interacting with generative systems, and providing instrumental support for overcoming stereotypes and biases during the training of specialists for the modern high-tech industry. The electronic training course is designed for pedagogical staff in vocational education institutions (Field of Knowledge 01 "Education") at all stages of professional development, covering various learning models (full-time, part-time, blended, and distance learning). The electronic course is designed for a total of 6 hours, consisting of 2 hours of lectures and 4 hours of seminar sessions.

Item Type:	Teaching Resource
Keywords:	AI bias, AI ethics, AI hallucinations, AI-generated content attribution, Academic integrity 2.0, Cognitive flexibility, Cognitive filters, Cognitive resilience, Content expert validation, Digital detox, Digital mentoring, Digital wellness, FOMO/JOMO syndrome, Generative models, Information hygiene, Information overload, Multimodal educational space, Personal Learning Environment (PLE), Prompt engineering, Specialist agency, Synthetic content.
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 Application-oriented computer-based techniques Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 304 Social questions. Social practice. Cultural practice. Way of life (Lebensweise) Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 37.01/.09 Special auxiliary table for theory, principles, methods and organization of education > 37.09 Organization of instruction Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 377 Specialized instruction. Vocational, technical, professional training. Vocational colleges, institutes. Polytechnics
Divisions:	State institution of higher education «University of educational management» > Bila Tserkva institute of continuous education of state higher educational institution «University of educational management» > Department of Training Technologies, Labor Safety and Design
Depositing User:	Л.В. Хмарна
Date Deposited:	29 Jun 2026 09:56
Last Modified:	29 Jun 2026 09:56
URI:	https://lib.iitta.gov.ua/id/eprint/749710

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