Artificial Intelligence-Based Modeling of Students^ Social Behavior in Achieving Learning Outcomes of Pancasila Education at Gajah Mada Junior High School, Medan Sri Yunita (a*), Jamaludin (b), Oksari Natasya Sihaloho (b), Syuratty Astuti Rahayu Manalu (b), Arief Wahyudi (b)
Universitas Negeri Medan
Abstract
Pancasila Education at the junior high school level plays a strategic role in shaping students^ character in alignment with the core values of Pancasila. However, evaluating learning outcomes-particularly students^ social behavior-remains a challenge due to the difficulty of conducting objective assessments. This study aims to develop an Artificial Intelligence (AI)-based model to predict and evaluate students^ social behavior within the context of Pancasila Education. Utilizing the Borg & Gall Research and Development (R&D) framework, the research encompasses stages of needs analysis, design, validation, testing, revision, and implementation. Data were collected through interviews, questionnaires, and documentation, and analyzed using both qualitative and quantitative approaches. The expected outcome is a web-based AI application that models students^ social behavior in accordance with Pancasila values. Behavioral data are gathered through observation, Likert-scale questionnaires, and digital records on the application platform. Machine learning algorithms, including decision trees and neural networks, are employed to map behavioral indicators, supporting teachers in conducting objective assessments and designing more effective and student-responsive learning strategies. This study is currently at Technology Readiness Level (TRL) 5, indicating validation in a controlled laboratory environment.
