Creativity via AI-era During Self-Regulated Learning (SRL)

Abstract

Aims: This research aims to examine behavior; the use of technology serves as a tool, with its results dependent on the individuals who engage with it. Methodology:  Investigate a number of significant implications that artificial intelligence has for creative thinking and Critical thinking.  As the function of artificial intelligence differs between the fields of creative processes. Co-creation is a method that can be used to describe creativity in the AI era. Artificial intelligence is necessary for scientists to achieve reliable results, while some artists use AI for collaborative creative work. The magic sauce is the combination of critical thinking and creative thinking. The processes of creative and critical thought are interdependent and recursive. The two modes of thinking are interconnected and serve as complementary elements within a broader, often cyclical, problem-solving process. Thus, the rapid development of artificial intelligence (AI) brings about a paradigm change across a number of different fields, including mathematics, which is not immune to this development. In that field, for instance, artificial intelligence has the potential to automate the process of proving theorems. This would result in the production of new ideas, an improvement in the ability to solve mathematical problems, and ultimately an expansion of the boundaries of mathematical knowledge. In the realm of Human Machine Interface (HMI) hardware, artificial intelligence is utilized to customize (self) learning. Self-regulated learning (SRL) is increasing in popularity within the context of the learning system because of the advantages it offers over traditional learning. The process of gaining an understanding of the learning attitudes of students and helping to boost their learning interests is challenging.  In this paper we introduce an analysis of a questionnaire that was used to evaluate four characteristics of self-organized learning including the utilization of subscales such as cognitive self-regulation and critical thinking. Results: AI ought to be utilized to safeguard and enhance human cognitive abilities such as curiosity, creativity, and deep critical thinking, all while optimizing efficiency and data handling. Self-directed students with critical thinking skills succeed in utilizing AI to enhance creativity, research, exploration, and innovation in conjunction with human thought processes.