Julio Barzola-Monteses
Biographic Data
| ID | 9909982 |
|---|---|
| NAME | Julio Barzola-Monteses |
| GIVEN NAMES | Julio |
| FAMILY NAME | Barzola-Monteses |
| SIGNATURE | BARZOLA-MONTESES J |
| AFFILIATIONS | University of Guayaquil |
| ORCID | 0000-0003-2732-979X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Adoption of artificial intelligence applications in higher education
This study examined the user experience that influences the adoption of artificial intelligence (AI) applications in higher education, focusing on three dimensions: habit, perceived complexity, and perception of adoption. A quantitative, non-experimental, cross-sectional design was applied, using a Likert scale questionnaire administered to 621 university students in Spain, Mexico, and Serbia, selected through convenience sampling. The results re…
Method for the Identification and Classification of Zones with Vehicular Congestion
Persistently, urban regions grapple with the ongoing challenge of vehicular traffic, a predicament fueled by the incessant expansion of the population and the rise in the number of vehicles on the roads. The recurring challenge of vehicular congestion casts a negative influence on urban mobility, thereby diminishing the overall quality of life of residents. It is hypothesized that a dynamic clustering method of vehicle trajectory data can provide…
No prominent works on this page.
Method for the Identification and Classification of Zones with Vehicular Congestion
Persistently, urban regions grapple with the ongoing challenge of vehicular traffic, a predicament fueled by the incessant expansion of the population and the rise in the number of vehicles on the roads. The recurring challenge of vehicular congestion casts a negative influence on urban mobility, thereby diminishing the overall quality of life of residents. It is hypothesized that a dynamic clustering method of vehicle trajectory data can provide…
Adoption of artificial intelligence applications in higher education
This study examined the user experience that influences the adoption of artificial intelligence (AI) applications in higher education, focusing on three dimensions: habit, perceived complexity, and perception of adoption. A quantitative, non-experimental, cross-sectional design was applied, using a Likert scale questionnaire administered to 621 university students in Spain, Mexico, and Serbia, selected through convenience sampling. The results re…
AI in Service Interactions (1 work) · Automated Road and Building Extraction (1 work) · Biology (1 work) · Centrality (1 work) · Computer Science (1 work) · Data Management and Algorithms (1 work) · E-Learning and Knowledge Management (1 work) · Facilitator (1 work) · Higher education (1 work) · Likert scale (1 work)