A Systematic Review of Computer Science Solutions for Addressing Violence Against Women in Educational Institutions

A. Omar, M. Mgala

ABSTRACT

Violence against women (VAW) is a significant public health crisis, with one in three women globally facing physical, emotional, or sexual violence. Violence against women is one of the major concerns for educational institutes. With the advent of smart technologies and smart campuses, educational institutes are making the best of their efforts to prevent such events from occurring. Recent advancements in computer science, including the Internet of Things (IoT), artificial intelligence (AI), mobile computing, pattern recognition, and cloud computing, have been pivotal in developing solutions aimed at preventing and responding to VAW. This paper describes the current state-of-the-art of these contributions and identifies trends, architectures, technologies, and current open challenges. It highlights how these technological interventions are utilized for early detection, prevention, and response to incidents of VAW. The findings suggest a growing reliance on technology to create safer educational environments, but also emphasize the need for continued research, particularly in developing inclusive, ethical, and effective technological solutions. This review aims to inform stakeholders in the education and technology sectors about the current state of computer science applications in the fight against VAW, providing insights into best practices and areas for future development.

KEYWORDS: Artificial intelligence, Internet of Things, machine learning, ubiquitous computing, IoT.