Artificial Intelligence for Teaching Social Theories and Decision Making: A Paradigm Shift in Pedagogical Fuzzy Models

The development of skills in teaching social theories and study methodologies is viewed by academic bodies as critical to worldwide competition. Yet, the pedagogies associated have not been thoroughly investigated, and the pedagogical environment has not been formed. The significant advancement of technological advances in computing has resulted in the adoption of fuzzy system theories as a fundamental element of artificial intelligence (AI) in domains such as medicine, finance, economics, and commerce. As a result, the study presents a multifaceted fuzzy decision-making (MFFDM) built on AI to shorten the assessment procedure and offer a successful structure for analyzing instructional approaches. The structure incorporates human-type language utilizing fuzzy directions, taking into account three assessment views (the managerial phase, teachers, and learners), and applies the improved particle swarm optimization (PSO) method. Following the teaching professional has decided the scores for every variable, they are passed into the enhanced search technique and resolved by employing an impartial mechanism to evaluate the evaluation's outcome. It includes the learners' motion process and transfer vector disassembling, which are built according to operational requirements. An approach for measuring teaching standards was built using the suggested framework with PSO. The outcomes show that the suggested method received the most favorable values in various evaluation groups, with the mean skill effectiveness of 97.1%, learning advancement of 87.4%, socialization skills of 93.5%, participation proportion of 95.1%, student contentment of 95.5%, and teaching social theory of 96.9% effectiveness. The suggested system's efficacy in improving social theory teaching techniques was proved through contrasting its outcomes with conventional approaches. It helps to advance pedagogical approaches in the discipline.

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