Christelle Navarrete
Biographic Data
| ID | 9974818 |
|---|---|
| NAME | Christelle Navarrete |
| GIVEN NAMES | Christelle |
| FAMILY NAME | Navarrete |
| SIGNATURE | NAVARRETE C |
| AFFILIATIONS | Tecnológico de Monterrey |
| ORCID | 0000-0002-6033-0269 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Modeling Factors Influencing Learning Gains in Generative Artificial Intelligence-Supported Undergraduate Programming Courses
The integration of Generative Artificial Intelligence (GenAI) into programming education has introduced new opportunities and challenges for the teaching–learning process in higher education. While GenAI tools can support personalized learning and immediate feedback, their effectiveness depends on how they are pedagogically integrated into instructional environments. This study analyzes the relationship between GenAI-supported instructional strat…
The core components of education 4.0 in higher education
Technological progress and its rapid evolution have positively affected the industrial sector and different productive/service sectors. One of the service-sectors that have benefited the most has been Education. In this sector, the implementation of current and emerging technologies combined with innovative pedagogical procedures and best practices is known as Education 4.0, which, in this paper, is described and mapped according to the well-know…
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The core components of education 4.0 in higher education
Technological progress and its rapid evolution have positively affected the industrial sector and different productive/service sectors. One of the service-sectors that have benefited the most has been Education. In this sector, the implementation of current and emerging technologies combined with innovative pedagogical procedures and best practices is known as Education 4.0, which, in this paper, is described and mapped according to the well-know…
Modeling Factors Influencing Learning Gains in Generative Artificial Intelligence-Supported Undergraduate Programming Courses
The integration of Generative Artificial Intelligence (GenAI) into programming education has introduced new opportunities and challenges for the teaching–learning process in higher education. While GenAI tools can support personalized learning and immediate feedback, their effectiveness depends on how they are pedagogically integrated into instructional environments. This study analyzes the relationship between GenAI-supported instructional strat…
Higher education (2 works) · Business (1 work) · Computer Science (1 work) · Core (optical fiber) (1 work) · Core competency (1 work) · Digital Transformation in Industry (1 work) · E-Learning and Knowledge Management (1 work) · Economic growth (1 work) · Economics (1 work) · Educational technology (1 work)