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Item type:Publication, Assessment of the level of knowledge on artificial intelligence in a sample of university professors: A descriptive study(Editorial Salud, Ciencia y Tecnologia, 2024-01-01)the knowledge of artificial intelligence (AI) by university professors provides them with the ability to effectively integrate these innovative technological tools, resulting in a significant improvement in the quality of the teaching and learning process. to assess the level of knowledge about AI in a sample of Peruvian university professors. Methods: quantitative study, non-experimental design and descriptive cross-sectional type. The sample consisted of 55 university professors of both sexes who were administered a questionnaire to assess their level of knowledge about AI, which had adequate metric properties. Results: the level of knowledge about AI was low for 41,8 % of professors, regular for 40 %, and high for 18,2 %. This indicates that there is a significant gap in the knowledge of university professors about AI and its application in education, which could limit their ability to fully leverage AI tools and applications in the educational environment and could affect the quality and effectiveness of teaching. Likewise, it was determined that age and self-perception of digital competencies of professors were significantly associated with their level of knowledge about AI (p<0,05). Conclusions: peruvian university professors are characterized by presenting a low level of knowledge about AI. Therefore, it is recommended to implement training and professional development programs focused on artificial intelligence, in order to update and improve their skills in this field. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Impact of informal trade on labor employability in the Peruvian Amazon economy(Sapienza Grupo Editorial, 2024-04-01)Informal trade plays a vital role in the economy by providing employment opportunities to those seeking to meet their basic needs. Therefore, the objective was to assess the impact of informal trade on labor employability in the Peruvian Amazon. A descriptive cross-sectional study was conducted with a sample of 421 street vendors from streets, avenues, and market surroundings. Data collection was carried out through a survey, whose metrics were determined by content validity and reliability processes. The results indicate that most participants were between 31 and 40 years old, predominantly women, had secondary education, and were Peruvian nationals. Regarding informal trade, most were self-employed and earned daily incomes ranging from 100 to 500 new soles. Street vending was predominant, with snacks and meals being notable products sold. Finally, it was concluded that informal trade in Madre de Dios generates 1,636 direct jobs, representing 2.1% of the population. The majority are women aged 31-40 with secondary education, earning between 100 and 1,000 soles, and working between 8 to 10 hours daily. The findings highlight the need for targeted policies to support informal traders, particularly women, and enhance economic resilience.