Skripsi
PEMANFAATAN TEKNOLOGI ARTIFICIAL INTELLIGENCE DALAM PEMBELAJARAN METODE PROBLEM BASED LEARNING PADA MAHASISWA PROGRAM STUDI PENDIDIKAN DOKTER UNIVERSITAS SRIWIJAYA
Problem-Based Learning (PBL) is an active learning method that places students at the center of the learning process. The utilization of AI in PBL can assist students in finding scientific references, formulating learning issues, and supporting self-directed learning. This study aims to determine the use of AI technology in the implementation of PBL among students of the Medical Education Program at Universitas Sriwijaya. This research employed a descriptive design with data collected through questionnaires distributed to students from the 2022–2024. Sampling was conducted using a total sampling technique involving 723 students who met the inclusion criteria. Data were analyzed univariately using frequency distributions and percentages for each variable. The variables examined included the types of AI used, frequency of AI use, PBL stages involving AI, learning issue topics assisted by AI, methods of AI source validation, as well as the perceived positive and negative impacts of AI use. The results showed that the majority of respondents were female. Among the 269 students who completed the questionnaire, the most frequently used AI application was ChatGPT, used by 200 respondents (74.4%). A total of 143 respondents (53.2%) reported frequently using AI. The PBL stage most commonly assisted by AI was the self-directed learning stage, reported by 146 respondents (54.2%). The most frequently used information sources were official medical institutional websites (251 respondents; 93.3%). The most common method of validating AI-generated information was through medical journals or scientific articles (153 respondents; 56.9%). The most common learning issue topic where AI was used was pathophysiology (122 respondents; 45.4%). The most frequently perceived positive impact was that AI made it easier for students to understand PBL materials (228 respondents; 84.8%), while the most reported negative impact was dependency on AI (188 respondents; 69.9%). These findings indicate that the use of AI has become integrated into the PBL process, particularly as a tool for accessing medical information and supporting independent learning. However, the potential for dependence highlights the need for proper guidance and adequate AI literacy to ensure that its use remains aligned with the educational objectives of medical training.