Guillermina Avila Garcia | Information Technology | Innovative Research Award

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Innovative Research Award

Guillermina Ávila García
National Polytechnic Institute (Instituto Politécnico Nacional), Mexico

Guillermina Ávila García
Affiliation National Polytechnic Institute
Country Mexico
Google Scholar uVTVBPwAAAAJ
Documents 20
Citations 99
h-index 5
Subject Area Artificial Intelligence
Event Top Teachers Awards
Scopus ID 57781072000
ORCID 0000-0001-5229-3384

The Innovative Research Award recognition highlights the scholarly achievements of Guillermina Ávila García, a Mexican researcher, educator, and science education specialist affiliated with the National Polytechnic Institute. Her academic work integrates physics education, educational technology, artificial intelligence applications in learning environments, mathematical modeling, and STEM innovation. Through research leadership, postgraduate supervision, international collaboration, and dissemination activities, she has contributed to advancing educational practice and evidence-based teaching methodologies within Mexico and abroad.[1][2]

Abstract

Guillermina Ávila García is a researcher and educator whose work focuses on physics education, mathematics education, educational innovation, technology-enhanced learning, and artificial intelligence in academic contexts. She earned a doctorate in sciences with specialization in physics education from CICATA-IPN, receiving honorable mention and the institutional award for the best postgraduate thesis in 2023. Her scholarly activities encompass research, teaching, curriculum development, international collaboration, conference participation, scientific dissemination, and postgraduate supervision. The combination of peer-reviewed publications, indexed research output, educational leadership, and recognition within the National System of Researchers demonstrates a sustained commitment to advancing science education and innovative pedagogical practices.[1][3]

Keywords

Artificial Intelligence; Physics Education; STEM Education; Educational Innovation; Mathematical Modeling; Educational Technology; Science Communication; Higher Education; Research Leadership; Learning Analytics.

Introduction

Guillermina Ávila García serves as a full-time professor at the Center for Scientific and Technological Studies No. 11 of the National Polytechnic Institute and collaborates with CICATA and CIECAS. Her academic trajectory spans undergraduate, master’s, and doctoral education in physics, mathematics, scientific teaching, and physics education. She actively participates in national and international research networks dedicated to science education, mathematics education, and educational innovation. Her scholarly profile reflects continuous engagement in teacher training, curriculum improvement, scientific dissemination, and interdisciplinary educational research.[1][5]

Research Profile

Her research profile combines educational sciences, pedagogy, physics education, mathematics education, and technology-supported learning. She has completed more than forty specialized courses, seminars, workshops, and thirteen diplomas related to educational innovation, digital learning environments, curriculum development, statistical thinking, science communication, and artificial intelligence. Her participation in international conferences, including ICME-14, GIREP, CIAIQ, RELME, and AAPT-MX, demonstrates consistent scholarly engagement with contemporary educational challenges. She is also an active member of professional organizations and research networks dedicated to educational transformation and scientific literacy.[1][4]

Research Contributions

The principal contributions of Guillermina Ávila García involve the design and evaluation of innovative teaching methodologies in physics and mathematics, the integration of digital technologies into learning environments, and the promotion of critical thinking through modeling and simulation approaches. Her work explores blended learning, Moodle-based instruction, problem-based learning, educational technologies, and artificial intelligence applications in education. Research supervision activities include master’s and doctoral theses focused on educational innovation, STEM learning, environmental education, and AI-supported pedagogy. These contributions support the modernization of science education while emphasizing evidence-based instructional practices.[4][5]

  • Physics and mathematics education research.
  • Educational innovation using technology-enhanced learning.
  • Artificial intelligence applications in educational contexts.
  • STEM-oriented instructional design and assessment.
  • Postgraduate supervision and research mentoring.

Publications

Guillermina Ávila García has developed a publication record spanning peer-reviewed journal articles, conference proceedings, book chapters, and science dissemination works. Her publications address socio-emotional competencies, technology integration in physics education, problem-based learning, educational innovation, teacher training, mathematical modeling, and digital learning environments. Indexed research outputs and scholarly visibility through Google Scholar and Scopus demonstrate measurable academic influence. Notable works include studies on socio-emotional competencies in higher education, hybrid learning methodologies, and teacher preparation for technology-rich educational settings.[2][3][4][5]

  • The socio-emotional competencies of high school and college students in the National Polytechnic Institute (2022).
  • Tools for the implementation of PBL and DIPCING in engineering in a hybrid modality (2022).
  • Teacher training at the IPN high school level facing ICT challenges in physics teaching (2020).
  • Digital Natives or Zombies? (2021).
  • Multiple book chapters on educational innovation, technology integration, and science education.

Research Impact

Research impact indicators report approximately 99 Google Scholar citations across 20 indexed documents and an h-index of 5. Her scholarly influence extends beyond citation metrics through curriculum innovation, teacher professional development, thesis supervision, conference presentations, scientific outreach, and international collaboration. The researcher has participated in academic stays, including CERN in Switzerland, where experiences in particle physics dissemination informed educational initiatives implemented within Mexican institutions. Recognition through national awards and membership in Mexico’s National System of Researchers further supports the significance of her academic contributions.[1][2]

Award Suitability

The designation of Guillermina Ávila García for an Innovative Research Award is supported by a combination of academic excellence, educational leadership, interdisciplinary research, and demonstrated societal impact. Her record includes the Best Postgraduate Thesis Award, Cum Laude doctoral distinction, SNI Level 1 membership, international conference participation, postgraduate supervision, educational innovation projects, and contributions to science communication. These achievements collectively indicate a sustained commitment to advancing research-informed educational practice and fostering innovation within science and mathematics education.[1][5]

Conclusion

Guillermina Ávila García represents a research profile characterized by academic rigor, innovation in teaching and learning, interdisciplinary collaboration, and sustained engagement with educational transformation. Her contributions to physics education, artificial intelligence applications in learning, teacher development, and STEM pedagogy have generated scholarly outputs, educational resources, and professional recognition. The evidence presented through publications, citations, awards, supervision activities, and institutional leadership supports the relevance of her nomination within the context of academic and research excellence.[1][2]

References

  1. Elsevier. (n.d.). Scopus author details: Guillermina Ávila García, Author ID 57781072000. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57781072000
  2. Google Scholar. (n.d.). Guillermina Ávila García citation profile and indexed publications. https://scholar.google.com/citations?user=uVTVBPwAAAAJ&hl=en&oi=sra
  3. Huerta Cuervo, R., Téllez, L. S., Luna Acevedo, V. H., Ramírez Solís, M. E., et al. (2022). The socio-emotional competencies of high school and college students in the National Polytechnic Institute (Mexico). Social Sciences, 11(7), 278. DOI: https://doi.org/10.3390/socsci11070278
  4. Escobar Moreno, F., Ávila García, G., & Suárez Téllez, L. (2022). Tools for the implementation of PBL and DIPCING in engineering in a hybrid modality. Sinéctica. https://sinectica.iteso.mx/index.php/SINECTICA/en/article/view/1343
  5. García, G. Á., & Ramírez, M. L. H. (2020). Teacher training at the IPN high school level, facing the challenges of using ICT in physics teaching. Multidisciplinary Journal of Research Advances, 6(2), 14–22. https://www.remai.ipn.mx/index.php/REMAI/article/view/73

Weidong Ji | Computer Science | Editorial Board Member

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Dr. Weidong Ji | Computer Science | Editorial Board Member

Harbin Normal University | China

Dr. Weidong Ji is a distinguished Chinese scholar known for his innovative contributions to artificial intelligence in education, learning analytics, and intelligent recommendation technologies, with a strong research presence reflected across international journals and conferences. His work integrates machine learning, knowledge graphs, deep learning models, and cognitive theories to enhance personalized learning, online education systems, student engagement assessment, and data-driven educational decision-making. With a Scopus record of 39 documents, 102 citations from 100 citing documents, and an h-index of 6, Dr. Ji’s scholarly influence continues to grow as his recent works advance emerging domains such as quantum-constructivism-based knowledge tracing, lightweight human–computer interaction models, and user-preference-driven recommendation algorithms. Google Scholar metrics (if available) would further extend his citation visibility, demonstrating the expanding global use of his models in adaptive learning, course recommendations, and real-time student behavior analysis. He also contributes to the academic community through participation in peer-review processes and editorial activities that support the development of high-quality research in AI-driven educational technology. Dr. Ji’s recent publications showcase cutting-edge computational frameworks such as neural knowledge graph reasoning, lightweight vision models for engagement analytics, and personalized prediction architectures for sparse learning environments. His contributions position him as an emerging leader at the intersection of educational psychology and computational intelligence, emphasizing practical applicability, algorithmic efficiency, and innovative pedagogical design, demonstrating excellence aligned with this award category as an Editorial Board Member.

Publication Profile

Scopus

Featured Publications

  • Authors unavailable. (2025). Knowledge graph convolutional networks with user preferences for course recommendation. Scientific Reports.

  • Authors unavailable. (2025). CQSA-KT: Research on personalized knowledge tracing based on quantum-constructivism in sparse learning environments. Knowledge Based Systems.

  • Authors unavailable. (2025). LightNet: A lightweight head pose estimation model for online education and its application to engagement assessment. Journal of King Saud University Computer and Information Sciences.