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Yolanda Martinez-Trevino

Biographic Data

ID9974817
NAMEYolanda Martinez-Trevino
GIVEN NAMESYolanda
FAMILY NAMEMartinez-Trevino
SIGNATUREMARTINEZ-TREVINO Y
AFFILIATIONSTecnológico de Monterrey
ORCID0009-0009-1739-1611
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Modeling Factors Influencing Learning Gains in Generative Artificial Intelligence-Supported Undergraduate Programming Courses

    Open Access•Gilberto Huesca, Tania C Rodriguez-Flores et al.•ARTICLE•Education Sciences•2026

    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

    Open Access•Gilberto Huesca, Yolanda Martinez-Trevino et al.•ARTICLE•Education Sciences•2024

    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…

No prominent works on this page.

  • Effectiveness of Using ChatGPT as a Tool to Strengthen Benefits of the Flipped Learning Strategy

    Open Access•Gilberto Huesca, Yolanda Martinez-Trevino et al.•ARTICLE•Education Sciences•2024

    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

    Open Access•Gilberto Huesca, Tania C Rodriguez-Flores et al.•ARTICLE•Education Sciences•2026

    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)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae