Analysis and Visualization of Big Data and Information using Generative Artificial Intelligence Technology.

Abstract

The rapid growth of big data requires advanced analytics and visualization techniques to extract meaningful insights and support decision-making. Generative AI has emerged as a powerful tool in this field, enabling efficient data processing, pattern recognition, and visualization. This research aimed to develop graduate students’ skills in analyzing and visualizing big data using generative AI technology in the “Computers in Education” course at King Khalid University. A quasiexperimental research design was used with two groups: an experimental group trained using AI platforms (n = 32) and a control group using traditional methods (n = 32). Pre- and post-test assessment measured students’ proficiency in data analysis and visualization. The results indicated a statistically significant improvement in the performance of the experimental group, demonstrating the effectiveness of generative AI in enhancing analytical and visualization skills. The results highlight the potential of AI-driven approaches in higher education, emphasizing the need to integrate AI technologies into curricula to prepare students for data-intensive professional environments. This research contributes to the growing body of literature advocating for AI-enhanced learning environments and provides recommendations for future educational applications.