The Effectiveness of Using AI as a Digital Assistant in Problem-Based Learning on Student Learning Outcomes

This study aims to analyze the effectiveness of the use of Artificial Intelligence (AI) based Digital Assistant in the Problem-Based Learning (PBL) model on the learning outcomes of PTI Study Program students in the mobile Programming course. The research method uses a quasi-experimental approach with a pretest-posttest control group. The results showed a significant difference between the experimental and control classes with a p value = 0.001 < 0.05, indicating a significant influence on learning outcomes. The N-Gain value was 0.543 (Moderate) and the results of sser satisfaction questionnaire were 3.30 (Satisfied). These findings prove that the integration of AI as a digital assistant in PBL is effective in improving learning outcomes, conceptual understanding, and student satisfaction with the use of AI.