A Cognitive Knowledge based Framework for Enhancing Decision-Making Skills and Behavioral Development in Learning Environments

Abstract

The human brain plays a vital role in processing cognitive functions, including thinking, sensory perception, articulation, memory, intelligence, and emotion. Each individual possesses a unique structure of knowledge that facilitates the storage and retrieval of information. While knowledge organization occurs naturally in humans, analyzing its interrelations and functional representation remains a complex task. Existing cognitive models such as ACT-R and connectionist frameworks provide foundational insight into these principles. In this study, we aim to explore the correlations among various forms of defined knowledge through structured surveys. A data mining approach is applied to process the raw data for analysis and knowledge discovery. The results reveal that specific types of knowledge have a significant impact on decision-making abilities, which are essential for individual cognitive growth and performance.