Artificial Intelligence in Students’ Educational Activities: Usage Strategies and Ethical Aspects

Introduction: The use of artificial intelligence (AI) in educational activities is gaining popularity among students, offering opportunities for automating routine tasks and enhancing the quality of academic texts. However, alongside these advantages, the application of AI in the academic environment raises questions regarding ethics, integrity, and its impact on students' cognitive skills.

Purpose: To analyze the perceptions of Russian students regarding the use of AI tools for academic communication, as well as to identify the benefits, limitations, and ethical challenges associated with their application.

Materials and Methods: This study is based on a mixed design that includes surveys and semi-structured interviews with students from Russian universities. The survey covered 589 respondents and included questions on the frequency and purposes of AI usage, as well as perceptions of its benefits and risks. To gain deeper insights, semi-structured interviews were conducted with 20 participants, providing personal experiences and ethical views on AI in academic activities. Quantitative data were processed using descriptive statistics, while qualitative data were analyzed thematically to identify key categories.

Results: AI tools contribute to improving the quality of academic texts, saving time, and boosting students' confidence in their skills. However, significant risks were identified, including dependence on technology, a decline in independent thinking, and threats to academic integrity. Respondents noted the need for ethical standards and support from instructors.

Conclusion: The study emphasizes the need for a responsible approach to using AI in the learning process. AI tools can enrich the educational experience but require balanced and ethically sound application to meet educational goals and maintain academic integrity.

1. Cummins, J. (2014). Beyond language: Academic communication and student success. Linguistics and Education, 26, 145-154. https://doi.org/10.1016/j.linged.2014.01.006

2. Solé, I., Teberosky, A., & Castelló, M. (2012). Academic communication strategies at postgraduate level. In C. Thaiss, G. Bräuer, P. Carlino (Eds.), Writing Programs Worldwide: Profiles of academic writing in many places (pp.pp. 365-375). Fort Collins: The WAC Clearinghouse and Parlor Press.

3. Ou, A. W., Stöhr, C., & Malmström, H. (2024). Academic communication with AI-powered language tools in higher education: From a post-humanist perspective. System, 121, 103225. https://doi.org/10.1016/j.system.2024.103225

4. Pennycook, A. (2018). Posthumanist applied linguistics. Routledge.

5. Haneda, M. (2014). Why should we care about academic language? A sociocultural analysis. Linguistics and Education, 26, 88-91. https://doi.org/10.1016/j.linged.2014.01.007

6. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa