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Purpose: The main objective of the text is to explore and determine the impact of financial education on the indebtedness of Peruvian households. Theoretical framework: As for the theoretical framework, reference is made to several previous theories and studies, such as Kahneman and Tversky's prospect theory, Modigliani and Brumberg's life-cycle theory, and Friedman's permanent income hypothesis, among others, to support the importance of financial literacy and financial decision-making under conditions of uncertainty and expectations of future income. Design/Methodology/Approach: To address this objective, a quantitative, applied, and non-experimental methodology was used, with a cross-sectional design and a descriptive-correlational approach, surveying 300 Peruvian households. Results: The results revealed that 68% of the participants have a regular level of financial knowledge and 60% have a regular level of household indebtedness. In addition, a significant positive correlation of 0.891 was found between financial literacy and household indebtedness. Practical and social implications: The practical and social implications of the study are notable, highlighting the need to improve financial education, given the prevalence of fair and low financial knowledge and skills among participants. The implementation of financial education programs from an early age and in communities especially vulnerable to financial instability is proposed. In addition, the creation of a certification program for financial educators and the continuous training of financial sector professionals is suggested. Originality/value: In terms of originality and value, the proposals address various areas, such as academic, professional, social, political, economic, and strategic. The idea of seeding financial education from the early years of education and exploring the effectiveness of various financial education strategies is proposed. In addition, the creation of funds for financial innovation and the promotion of fintech companies is proposed, as well as the strategic implementation of partnerships with international organizations, NGOs, and the private sector. It is also suggested to use technology and digital platforms to expand the reach of financial education programs.
Purpose: The main objective of the text is to explore and determine the impact of financial education on the indebtedness of Peruvian households. Theoretical framework: As for the theoretical framework, reference is made to several previous theories and studies, such as Kahneman and Tversky's prospect theory, Modigliani and Brumberg's life-cycle theory, and Friedman's permanent income hypothesis, among others, to support the importance of financial literacy and financial decision-making under conditions of uncertainty and expectations of future income. Design/Methodology/Approach: To address this objective, a quantitative, applied, and non-experimental methodology was used, with a cross-sectional design and a descriptive-correlational approach, surveying 300 Peruvian households. Results: The results revealed that 68% of the participants have a regular level of financial knowledge and 60% have a regular level of household indebtedness. In addition, a significant positive correlation of 0.891 was found between financial literacy and household indebtedness. Practical and social implications: The practical and social implications of the study are notable, highlighting the need to improve financial education, given the prevalence of fair and low financial knowledge and skills among participants. The implementation of financial education programs from an early age and in communities especially vulnerable to financial instability is proposed. In addition, the creation of a certification program for financial educators and the continuous training of financial sector professionals is suggested. Originality/value: In terms of originality and value, the proposals address various areas, such as academic, professional, social, political, economic, and strategic. The idea of seeding financial education from the early years of education and exploring the effectiveness of various financial education strategies is proposed. In addition, the creation of funds for financial innovation and the promotion of fintech companies is proposed, as well as the strategic implementation of partnerships with international organizations, NGOs, and the private sector. It is also suggested to use technology and digital platforms to expand the reach of financial education programs.
The impact of artificial intelligence in our society is important due to the innovation of processes through data science to know the academic and sociodemographic factors that contribute to late payments in university students, to identify them and make timely decisions for implementing prevention and correction programs, avoiding student dropout due to this economic problem, and ensuring success in their education in a meaningful and focused way. In this sense, the research aims to compare the performance metrics of classification models for late payments in students of a private university by using AutoML algorithms from various existing platforms and solutions such as AutoKeras, AutoGluon, HyperOPT, MLJar, and H2O in a data set consisting of 8,495 records and the application of data balancing techniques. From the implementation and execution of various algorithms, similar metrics have been obtained based on the parameters and optimization functions used automatically by each tool, providing better performance to the H2O platform through the Stacked Ensemble algorithm with metrics accuracy = 0.778. F1 = 0.870, recall = 0.904 and precision = 0.839. The research can be extended to other contexts or areas of knowledge due to the growing interest in automated machine learning, providing researchers with a valuable tool in data science without the need for deep knowledge.
Purpose: The main objective of the text is to explore and determine the impact of financial education on the indebtedness of Peruvian households. Theoretical framework: As for the theoretical framework, reference is made to several previous theories and studies, such as Kahneman and Tversky's prospect theory, Modigliani and Brumberg's life-cycle theory, and Friedman's permanent income hypothesis, among others, to support the importance of financial literacy and financial decision-making under conditions of uncertainty and expectations of future income. Design/Methodology/Approach: To address this objective, a quantitative, applied, and non-experimental methodology was used, with a cross-sectional design and a descriptive-correlational approach, surveying 300 Peruvian households. Results: The results revealed that 68% of the participants have a regular level of financial knowledge and 60% have a regular level of household indebtedness. In addition, a significant positive correlation of 0.891 was found between financial literacy and household indebtedness. Practical and social implications: The practical and social implications of the study are notable, highlighting the need to improve financial education, given the prevalence of fair and low financial knowledge and skills among participants. The implementation of financial education programs from an early age and in communities especially vulnerable to financial instability is proposed. In addition, the creation of a certification program for financial educators and the continuous training of financial sector professionals is suggested. Originality/value: In terms of originality and value, the proposals address various areas, such as academic, professional, social, political, economic, and strategic. The idea of seeding financial education from the early years of education and exploring the effectiveness of various financial education strategies is proposed. In addition, the creation of funds for financial innovation and the promotion of fintech companies is proposed, as well as the strategic implementation of partnerships with international organizations, NGOs, and the private sector. It is also suggested to use technology and digital platforms to expand the reach of financial education programs.
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