About Me

I am a Ph.D. student in Educational Technology at the School of Teaching and Learning, University of Florida, where I conduct research in the VIABLE Lab under the guidance of Dr. Anthony Botelho.

My research leverages educational data mining, artificial intelligence, and Large Language Models (LLMs) to investigate how digital learning environments shape student behaviors and learning outcomes, with a specific focus on optimizing instructional design to support complex problem-solving.

I have previously conducted research with the Lastinger Center for Learning and am currently engaged in the Data Science Methods for Digital Learning Platforms Training Program. As an educational researcher, my goal is to apply innovative, data-driven strategies to design dynamic, student-centered digital environments where all learners can thrive.

Research Interests

• AI in Education & Machine Learning: Developing and evaluating intelligent systems and LLM applications for learning environments.
• Educational Data Mining & Learning Analytics: Analyzing student interaction log data and behavior patterns.
• Instructional Design & Assessment: Designing formative assessments and analyzing problem-level dynamics in mathematics education.

Publications

• Modeling Completion Time in Mathematics Formative Assessments: Content-Based Prediction of Time Variation
  Anthony F. Botelho, Zhongtian Huang, Natalia S. Martín, Jinnie Shin
  Springer Nature Switzerland, 2026.

Presentations & Posters

• More than Translation: The Role of Culture in Online Professional Development Courses [Poster]
  Natalia S. Martín, N. A. Vest, A. H. Closser, Anthony F. Botelho
  Poster presented at the 8th International Workshop on Culturally-Aware Tutoring Systems (CATS 2026), co-located with the 27th International Conference on Artificial Intelligence in Education (AIED 2026), Seoul, South Korea, June 2026.