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Hodgkinson, Bobby F

Associate Teaching Professor

Positions

Research Areas research areas

Research

research overview

  • My research focuses on leveraging artificial intelligence (AI) to enhance teaching, learning, and assessment in STEM education. By integrating AI-driven tools such as sentiment analysis, grading assistants, and concept inventory analysis, my work aims to improve both student engagement and instructional efficiency. Recent projects include developing experiential learning activities in aerospace engineering and expanding AI applications in computer science education. I am particularly interested in the intersection of AI, pedagogy, and experiential learning to address challenges in education and foster innovation in academic environments.

keywords

  • Generative AI

Teaching

courses taught

  • ASEN 2001 - Aerospace 1: Introduction to Statics, Structures, and Materials
    Primary Instructor - Fall 2018
    Introduces models and analytical/numerical methods for statics and structural analysis. Topics include force/moment equilibrium, truss analysis, beam theory, stress/strain, failure criteria, and structural design. Matlab proficiency required.
  • ASEN 2002 - Aerospace 2: Introduction to Thermodynamics and Aerodynamics
    Primary Instructor - Fall 2018 / Fall 2019 / Fall 2020 / Fall 2021
    Introduces the fundamental principles and concepts of thermodynamics and fluid dynamic systems. Emphasizes the synthesis of basic science (physics), mathematics and experimental methods that form the basis for quantitative and qualitative analyses of general aerospace technology systems. Proficiency in Matlab required.
  • ASEN 2003 - Aerospace 3: Introduction to Dynamics and Systems
    Primary Instructor - Spring 2019 / Spring 2020 / Spring 2021 / Spring 2022
    Introduces the principles of particle and planar rigid body dynamics, systems, and controls. Topics include kinematics, kinetics, momentum and energy methods, system modeling, and simple feedback control. Class includes experimental and design laboratory exercises for aerospace applications of dynamic principles.
  • ASEN 2012 - Experimental and Computational Methods in Aerospace Engineering Sciences
    Primary Instructor - Spring 2022
    Introduces statistical, experimental, and computational methods used in aerospace engineering sciences. Usage of MatLab is extensive.
  • ASEN 2802 - Aerospace Sciences Lab I
    Primary Instructor - Fall 2022 / Spring 2023 / Fall 2023 / Fall 2024
    Provides an introductory laboratory experience in aerospace sciences, with a focus on statics, structural mechanics, thermodynamics, and aerodynamics. Emphasizes model-based design, experimental data collection, and interpretation of experimental data.
    • ... more

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