CHALLENGES AND PERSPECTIVES OF E-LEARNING ENVIRONMENT DEVELOPMENT AT STATE BORDER GUARD COLLEGE IN THE ERA OF DIGITALISATION
DOI:
https://doi.org/10.17770/bsm.v5i10.8303Keywords:
artificial intelligence, digital competence development, e-learningAbstract
The purpose of this article is to explore the challenges and perspectives associated with the development of e-learning environment at the State Border Guard College in the context of increasing digitalization and advance of AI in education contexts. The tasks of the research include identification of key advantages and obstacles faced by educational institutions, including technological limitations and risks, and the need for effective training in digital tools efficient use. Furthermore, the research highlights the potential of e-learning to enhance accessibility, flexibility, and engagement in the academic process. By using scientific research method and examining best practices and innovative strategies, the article provides insights into the successful integration of e-learning systems that are efficient and appropriate to the needs, specific requirements of border guard training as well as current education innovation trends. The findings underscore the importance of a collaborative approach involving stakeholders at all levels to effectively leverage digital technologies for enhanced learning outcomes.
According to scientific literature research results authors put forward suggestions on further improving border guards e-learning processes.
References
Butler, R. (2023). The future of law enforcement rests in its technology investment. Retrieved from https://www.thomsonreuters.com/en-us/posts/government/future-of-law-enforcement-technology/
Datorzinību centrs. (2023). Presentation of the project initiation (Kick-off) meeting [Non-published materials].
Dieterle, E., Dede, C., & Walker, M. (2024). The cyclical ethical effects of using artificial intelligence in education. AI & Society, 39(4), 633–643. https://doi.org/10.1007/s00146-022-01497-w
Epstein, B., & Emerson, J. (2024). Navigating the future of policing: Artificial intelligence (AI) use, pitfalls, and considerations for executives. Police Chief Online. Retrieved from https://www.policechiefmagazine.org/navigating-future-ai-chatgpt/
European Commission. (2024). AI act. Retrieved from https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai
Hormann, J. S. (1995). Virtual reality: The future of law enforcement training. FBI Law Enforcement Bulletin, 64(7), 1–8.
Information Centre of MoI. (2022). IeM IC, in cooperation with IeM colleges, is modernizing e-learning platform of Internal Affairs institutions. Retrieved from https://www.ic.iem.gov.lv/lv/jaunums/iem-ic-sadarbiba-ar-iem-koledzam-modernize-e-macibu-iekslietu-iestazu-e-macibu-platformu
Lynch, M. (2017). The benefits of artificial intelligence in education. Retrieved from https://www.theedadvocate.org/benefits-artificial-intelligence-education/
Ministry of the Interior (MoI). (2022). Interior sector strategy 2023-2027. [Non-published materials].
Regulation (EU) 2019/1896 of the European Parliament and of the Council of 13 November 2019 on the European Border and Coast Guard and repealing Regulations (EU) No 1052/2013 and (EU) 2016/1624. Retrieved from https://eur-lex.europa.eu/eli/reg/2019/1896/oj
Smith, L. (2022). New police training methods for 2023. Retrieved from https://www.policetechnews.com/post/new-police-training-methods
The Innovation Centre of INTERPOL and UNICRI. (2024). Principles for responsible AI innovation. Retrieved from https://www.ai-lawenforcement.org/guidance/principles