Security and Privacy of Educational Computational Intelligence

Abstract

In today's technological era, educators need to safeguard the security and privacy of their data by employing Computational Intelligence (CI). CI is an aspect of Artificial Intelligence (AI) that concentrates on developing algorithms and systems capable of solving tough societal problems. Several methodologies informed by biological systems and natural events used in CI include Artificial Neural Networks (ANN), fuzzy systems, evolutionary computation, and swarm intelligence. Therefore, CI systems learn and adapt over time, improving performance through experience and interaction with their environment. This versatility and durability render CI valuable for various applications, including data analysis, pattern identification, control systems, and decision-making processes. Confidentiality is critical for securing sensitive information. CI uses sophisticated computational techniques to improve learning experiences, instructional practices, and educational outcomes.