Investigation of Students’ Learning Behaviour Using Artificial Intelligence: A Qualitative Study

BACKGROUND The aim of the study was to examine student behaviour during the learning process with the use of artificial intelligence (AI). MATERIALS AND METHODS The methodology included both quantitative and qualitative methods, specifically an experimental approach to compare the learning outcomes of the control and experimental groups, statistical analysis to assess student success, and content analysis of open-ended survey questions to identify key trends and challenges in the use of AI in education. RESULTS The study analysed the impact of AI on the learning process of 200 students majoring in Information Technology at Puyang Vocational and Technical College. The integration of AI into the educational process was explored, focusing on tools such as TensorFlow, PyTorch, Google Colab, and MATLAB. The effectiveness of traditional teaching methods was compared with AI-based learning, and student success in both the control and experimental groups was assessed. Students in the experimental group, who studied using AI tools, were associated with significantly higher scores across all evaluation aspects, with an overall average success rate of 4.6 compared to 3.4 in the control group. A survey of students in the experimental group revealed that 77% of respondents found the use of AI beneficial for improving their problem-solving skills. CONCLUSION The study suggests that students in the experimental group tended to demonstrate higher results and a more positive perception compared to the control group.