Yolanda Martinez-Trevino
Biographic Data
| ID | 9974817 |
|---|---|
| NAME | Yolanda Martinez-Trevino |
| GIVEN NAMES | Yolanda |
| FAMILY NAME | Martinez-Trevino |
| SIGNATURE | MARTINEZ-TREVINO Y |
| AFFILIATIONS | Tecnológico de Monterrey |
| ORCID | 0009-0009-1739-1611 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| 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…
Effectiveness of Using ChatGPT as a Tool to Strengthen Benefits of the Flipped Learning Strategy
In this study, we evaluate how ChatGPT complements and enriches the traditional flipped learning strategy in higher education, particularly in engineering courses. Using an experimental design involving 356 students from basic programming courses in undergraduate engineering programs, we compared the normalized learning gain between groups that used the ChatGPT-assisted flipped learning strategy (focus groups) and those that followed a traditiona…
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Effectiveness of Using ChatGPT as a Tool to Strengthen Benefits of the Flipped Learning Strategy
In this study, we evaluate how ChatGPT complements and enriches the traditional flipped learning strategy in higher education, particularly in engineering courses. Using an experimental design involving 356 students from basic programming courses in undergraduate engineering programs, we compared the normalized learning gain between groups that used the ChatGPT-assisted flipped learning strategy (focus groups) and those that followed a traditiona…
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…
Online Learning and Analytics (2 works) · Computer Science (1 work) · Educational technology (1 work) · Flipped Classroom (1 work) · Flipped learning (1 work) · Generative grammar (1 work) · Generative model (1 work) · Higher education (1 work) · Innovative Teaching Methods (1 work) · Instructional design (1 work)