Research Areas
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Biography and Research Information
OverviewAI-generated summary
Gabriel J. Ferrer's research interests include the application of technology in educational settings, particularly in computer science and data structures courses. He has investigated methods for increasing student engagement through the use of manipulatives and unplugged activities. Ferrer has also explored the capabilities of small language models on inexpensive hardware, contributing to the understanding of accessible AI applications. His work extends to land-use classification for edge AIoT systems, focusing on interpretable methods via information lattice learning.
Ferrer's scholarship metrics include an h-index of 4, with 36 total publications and 57 total citations. He has collaborated with colleagues at Hendrix College, including Mark Goadrich, Ian D. Walker, and Jacob Collier-Tenison, on shared publications. His recent publications span topics from educational engagement to AI implementation and book reviews, indicating a broad academic engagement.
Metrics
- h-index: 4
- Publications: 35
- Citations: 57
Selected Publications
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Manipulatives and Unplugged Activities for Increasing Engagement in Data Structures Courses (2026)
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Applying and Verifying a Small Language Model on Inexpensive Hardware (2025)
Collaboration Network
Top Collaborators
- Applying and Verifying a Small Language Model on Inexpensive Hardware
- Applying and Verifying a Small Language Model on Inexpensive Hardware
- Poster: Beacon: Interpretable Land-Use Classification for Edge AIoT via Information Lattice Learning
- Poster: Beacon: Interpretable Land-Use Classification for Edge AIoT via Information Lattice Learning
- Poster: Beacon: Interpretable Land-Use Classification for Edge AIoT via Information Lattice Learning
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