PENGARUH METODE EXAMPLE NON EXAMPLE DENGAN MEDIA GAMBAR GENERATIF AI TERHADAP MOTIVASI BELAJAR SISWA PADA PEMBELAJARAN SEJARAH KELAS XI SMKN 6 SURABAYA

Abstract

The integration of technology in education has become a crucial component in the Society 5.0 era. However, the
implementation of technology in teaching has not been extensively explored by educators, leading to monotonous and
less interactive learning experiences, which in turn diminishes students motivation to learn. This study explores the
potential of artificial intelligence (AI) in image creation as a recent technological advancement that can be utilized in
learning. By integrating AI-generated images with the Example non Example teaching method, this innovative and
engaging approach has the potential to enhance student learning motivation in history education. The study employs a
quantitative experimental method with a Pre-Experimental One-Shot Case Study design and purposive sampling
technique for sample selection. The research instruments consist of a questionnaire and an observation sheet. Data
analysis was conducted using a simple linear regression test to determine the effect of Variable X on Variable Y. The
results of the regression analysis produced the equation Y = 10.063 + 0.644X, with an R Square value of 0.764. The
two-tailed hypothesis test indicated that the Tvalue was in the acceptance region (10.484 > 2.032) and positive, leading
to the rejection of H0 and acceptance of Ha. Based on these findings, it can be concluded that the use of teaching methods
involving AI-generated images positively influences students learning behavior, thereby motivating them to learn.
Keywords: Example non Example, Generative AI Images, Learning Motivation