EduCM (Education Case Method) Application for Students Who Are Developing Their Skills Designing Case Method-Based Lecture Assignments
Abdinur Batubara, Ramsul Nababan, Arief Wahyudi, Maryatun Kabatiah, Fazli Rachman

Universitas Negeri Medan

Abstract

This research focuses on developing an artificial intelligence-based application called EduCM, which is designed to provide education to students on how to develop case-based lecture assignments. The research location is in the PPKn Department, Faculty of Social Sciences, Medan State University, with the research sample being students from the PPKn Department, FIS UNIMED. The research method used is the R & D method with the ADDIE model. Data collection tools with observations, questionnaires, and test techniques. Data analysis uses several kinds, ranging from the Likert scale measurement scale, the Guttman scale, and also uses Miles and Hubermann data analysis to analyze observation data. The orientation of the results will focus on the influence of EduCM to assist students in developing lecture assignments in this mini-research based on the case method. Initial and final skills will show significant development, and students will feel comfortable operating EduCM.

Keywords: Case Method, Artificial Intelligence, Aplication

Topic: E-learning system and Educational Technology