Implementation of Gemini AI in Practical Learning of Bacteria Material
Keywords:
Gemini AI, Qualitative Descriptive, Practical Result, AnalysisAbstract
This research aims to determine the implementation of Gemini AI in practical learning of Biology material, specifically bacteria, and the response of students to its application. The rapid development of Artificial Intelligence (AI), including Gemini AI developed by Google Deepmind, offers opportunities for a more effective learning environment, one of which is through the real-time analysis feature. The implementation of AI in the analysis of practical results, which was previously less integrated and often time-consuming, is expected to help students analyze practical results quickly and accurately. This descriptive qualitative research used a population of class X E4 students (36 participants) at SMAN 1 Taman Sidoarjo, with a purposive sampling technique. Primary data collection was carried out using a Google Form questionnaire and in-depth interviews. The results showed an overall positive response from students, where the majority felt helped, faster, and more practical using Gemini AI to analyze practical results compared to conventional methods. The information presented was judged to be complete and structured, and capable of increasing concept understanding.
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