Artificial intelligence in Higher Education: strategies to optimize student use

Abstract

Today, the integration of artificial intelligence into higher education is playing a crucial role in transforming the learning process and managing students' time. AI tools, such as ChatGPT, can significantly enhance the efficiency of learning, saving time and increasing convenience. However, there is a risk that students may lose engagement in learning, as well as their ability to think critically and solve problems independently. Hence, there is an active debate in the academic community about what possibilities, rules, and norms need to be introduced into the educational process to optimize students' work with AI tools. The purpose of this study was to develop recommendations for universities on optimizing students' use of AI tools in the learning process. The research methodology included an anonymous quantitative online survey of 161 students (the CAWI method). The results demonstrated a high prevalence of ChatGPT use among students, with both positive effects (increased learning efficiency) and potential risks (decreased autonomy and critical thinking) highlighted. The data were used to develop recommendations for universities on how to effectively integrate AI tools into the educational process while minimizing the associated risks.