Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Introduction: Artificial intelligence is a technology that replaces human activities, favors business productivity and raises concerns about job losses and economic and social challenges. Method: The research uses a quantitative approach and a non-experimental study design with correlational scope. It identifies two variables: artificial intelligence (AI) and job opportunity. It evaluates students of the Adult Education Program (PFA) of the Universidad César Vallejo. Data collection was done through a virtual survey with Likert scale questions. Results: The study conducted a descriptive analysis of two variables: artificial intelligence and job opportunities. A moderate and positive correlation was observed between both variables, suggesting a significant relationship between the level of artificial intelligence and job opportunities of the respondents. Discussion: The study reveals a positive and moderate correlation between the knowledge of artificial intelligence and the perception of job opportunities. It is important to adapt to this global technology to improve employability. Conclusion: The findings support that artificial intelligence transforms society and the labor market. Although 86% of students know AI, most need more training in this field, even in areas with projected growth in AI-related employment.
Introduction: Artificial intelligence is a technology that replaces human activities, favors business productivity and raises concerns about job losses and economic and social challenges. Method: The research uses a quantitative approach and a non-experimental study design with correlational scope. It identifies two variables: artificial intelligence (AI) and job opportunity. It evaluates students of the Adult Education Program (PFA) of the Universidad César Vallejo. Data collection was done through a virtual survey with Likert scale questions. Results: The study conducted a descriptive analysis of two variables: artificial intelligence and job opportunities. A moderate and positive correlation was observed between both variables, suggesting a significant relationship between the level of artificial intelligence and job opportunities of the respondents. Discussion: The study reveals a positive and moderate correlation between the knowledge of artificial intelligence and the perception of job opportunities. It is important to adapt to this global technology to improve employability. Conclusion: The findings support that artificial intelligence transforms society and the labor market. Although 86% of students know AI, most need more training in this field, even in areas with projected growth in AI-related employment.
INTRODUCTION: Social networks facilitate interactions among individuals, organizations, and communities. Their usage, especially among young people, has become increasingly widespread. This surge in usage has been linked to various impacts on individuals' daily lives and well-being, particularly in academic and emotional aspects. OBJECTIVES: This study seeks to examine the extent to which excessive use of social networks (SN) contributes to social isolation among undergraduate students aged 18 to 35, residing in the departments of Cundinamarca, Boyaca, and Meta in Colombia. This phenomenon is primarily due to problematic cell phone use. METHODS: We administered two established instruments: the "Mobile Phone Problem Use Scale (MPPUS-10)" adapted by Foerster et al. (2015), and the "Addiction to Social Networks Questionnaire " developed by Escurra & Salas (2014). Statistical analyses included descriptive techniques, multivariate Henze-Zirkler normality test, univariate Shapiro-Wilk test, as well as non-parametric methods such as Spearman's correlation and the Kruskal-Wallis test. RESULTS: Key findings of this study include: (i) the identified intervention and mitigation strategies in the literature predominantly focus on prevention programs and family support with an emphasis on bolstering young people's self-esteem; (ii) 15.46% of the sample exhibited problematic cell phone use, with 25.96% indicating high intensity of social network use; (iii) significant differences were observed in relation to age and geographic location, while gender and socio-economic stratum did not exhibit a statistically significant impact; (iv) the statistical analysis demonstrated a positive and significant relationship with the dimensions of the Escurra & Salas (2014) instrument, namely Interest in Social Media (ISM), concern about lack of control (LC), and Excessive use of SN (EU). CONCLUSION: The Mobile Phone Problem Use Scale (MPPUS-10) emerges as a concise and effective tool for identifying problematic cell phone use, and its association with excessive social network usage underscores the interconnectedness of these behaviours. This research sheds light on the prevalence of these issues among Colombian university students and provides valuable insights for targeted intervention and support strategies, emphasizing the importance of bolstering self-esteem in youth.
The general objective of the research in charge was to analyze the actual state of the area after the water pollution caused by the oil spill in Ancon 2022; in the same way, it showed a quantitative approach of non-experimental design of descriptive transversal type, the scope of the research was descriptive; Similarly, it reached a sample of 50 people affected, a survey was used as a technique and the questionnaire as an instrument, validated under criteria which was based on 20 questions for the variable of water pollution through the Likert scale, for this, a previous sample of 20 people was used for the reliability of Cronbach's Alpha; likewise, the data collected were compared by the Microsoft Excel program and the statistical software Jamovi cloud 2. 3. 26; finally, it was concluded that the consequences of water pollution from the oil spill were very harmful to the marine ecosystem, the environment, the surrounding people and the economy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.