Publication Details
Abstract
This research aims to study the relationship between Metacognitive Financial Awareness and the effectiveness of artificial intelligence models in financial planning, through an applied study on users of smart financial applications in inancial institutions. The research problem lies in the absence of prior studies that determine the impact of integrating metacognitive awareness with artificial intelligence algorithms on the accuracy of financial transactions and strategic financial decisions.
The study adopted the descriptive-analytical method, whereby a questionnaire distributed to a random sample of employees in financial institutions, and the data were analyzed using descriptive statistics and the T-test to examine the three research hypotheses. The results revealed a strong statistically significant relationship (T=71.39,P<0.05) between the level of Metacognitive Financial Awareness and artificial intelligence models in financial planning, with a mean score of (4.170) The findings further confirmed that integrating metacognitive awareness with artificial intelligence algorithms enhances the accuracy of financial transactions, with a correlation coefficient of (T=72.95) and a mean score of (4.150)
The research concluded that users with high metacognitive awareness interact cautiously and consciously with artificial intelligence models, thereby enhancing the quality of financial decisions and reducing financial errors. The study recommended the necessity of developing training programs to enhance metacognitive financial awareness among employees in financial institutions, and integrating metacognitive awareness mechanisms into the design of financial artificial intelligence algorithms.