Luis C Félix-Herrán
Biographic Data
| ID | 9974819 |
|---|---|
| NAME | Luis C Félix-Herrán |
| GIVEN NAMES | Luis C |
| FAMILY NAME | Félix-Herrán |
| SIGNATURE | FÉLIX-HERRÁN L C |
| AFFILIATIONS | Universidad de Sonora |
| ORCID | 0000-0002-3243-5514 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| 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…
Active learning to develop disciplinary competencies related to automatic control in engineering curricula using low cost do-it-yourself didactic stations
Introduction In general, in automatic control courses, the process of designing and testing a control system includes applying physical laws to model the system, working with virtual models, building one or various prototypes, and testing the control algorithms. However, in the industry, the approach must be more pragmatic because the design and implementation time must be shorter, and the success of the solution must be ensured. Methods Challeng…
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Active learning to develop disciplinary competencies related to automatic control in engineering curricula using low cost do-it-yourself didactic stations
Introduction In general, in automatic control courses, the process of designing and testing a control system includes applying physical laws to model the system, working with virtual models, building one or various prototypes, and testing the control algorithms. However, in the industry, the approach must be more pragmatic because the design and implementation time must be shorter, and the success of the solution must be ensured. Methods Challeng…
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…
Artificial Intelligence (1 work) · Automatic control (1 work) · Automation (1 work) · Computer Science (1 work) · Control engineering (1 work) · Curriculum (1 work) · Educational technology (1 work) · Engineering (1 work) · Engineering education (1 work) · Engineering management (1 work)