The Development of an Artificial Intelligence Technology Teaching Model to Improve Secondary School Student's Creativity Skills During Ideation Process in Visual Arts Education (VAE) Subject: A Need Analysis

Abstract

This study explores the need for developing an integrated Artificial Intelligence (AI) technology teaching model to enhance secondary school students' creativity during the ideation process in Visual Arts Education (VAE). The research focuses on addressing challenges faced by VAE teachers in Malaysia, particularly in the Kajian Rekaan Seni Visual (KRSV) component of the Sijil Pelajaran Malaysia (SPM) examination. Employing a quantitative methodology, the study utilized a survey questionnaire administered to sixty-eight VAE secondary school teachers in Selangor. Data analysis, conducted using descriptive statistics to examine means and frequencies, revealed that a significant majority of teachers acknowledge the necessity to enhance students' creative competencies and recognize inefficiencies in the current ideation process. Teachers report that students heavily rely on provided examples and experience stress during ideation, potentially contributing to increase the numbers of dropouts addressed as ‘T’ students. The study identifies a strong demand for AI-integrated approaches to facilitate a more effective ideation process and provide personalized guidance to students. Based on these findings, the researchers propose the development of an 'Ideation Intelligence' model, which aims to integrate AI technology with the current ideation methods. This model seeks to reduce ideation time while enhancing the quality of creative outcomes, ultimately fostering students' creative growth and preventing dropouts from KRSV.