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PhD

Engineering Education

University of Florida
Gainesville , United States
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Degree
PhD
Course Language
English
About Program

Program Overview

Program Overview

The Engineering Education program at the University of Florida aims to prepare graduate students to become researchers, practitioners, future leaders, and agents of positive change in engineering education. Graduates are prepared to conduct educational research, informing evidence-based practice in an engineering context through a core curriculum in engineering education, experiential learning, and further graduate work within their disciplinary concentration.


Degrees Offered

  • Master of Science
  • Doctor of Philosophy

Ph.D. with a major in Engineering Education

Admission Requirements

  • B.S. in a STEM-related field or B.S. and related experience or a master's degree in an engineering or Computer Science discipline
  • GPA requirements as defined by the Graduate School
  • No GRE is required for admission into this program.

Ph.D. Requirements

  • Minimum of credits beyond the bachelor's degree
    • EED Core Courses: credit hours
    • Experiential Learning: credit hours
    • Elective Requirement: 6 credit hours
    • Disciplinary Concentration: credits of graduate work in computer science or a single engineering discipline outside EED.
    • Up to 30 credits may be transferred from another graduate degree program with the approval of the student’s advisor and the Graduate School.
  • Successful presentation and defense of the:
    • Qualifying exam in core areas of engineering education
    • Dissertation proposal in an individual area of engineering education
    • The doctoral dissertation, based on the proposal
    • Submission of one peer-reviewed journal article AND acceptance of one conference presentation or one seminar presentation or one workshop presentation, both as first author
    • One semester of research to practice experience
    • Creation of a reflective engineering education portfolio

M.S. with a major in Engineering Education

Core Courses (15 credits)

  • EGS 6050 Foundations in Engineering Education (3 cr.)
  • EGS 6054 Cognition, Learning, and Pedagogy in Engineering Education (3 cr.)
  • EGS 6051 Instructional Design in Engineering Education (3 cr.)
  • EGS 6020 Research Design in Engineering Education (3 cr.)
  • EGS 6012 Research Methods in Engineering Education (3 cr.)

Experience (5 credits)

  • EGS 6940 Foundations of Research to Practice in Engineering Education (1 cr.)
  • EGS 6949 Research to Practice Experience in Engineering Education (3 cr.)
  • EGS 6930 Engineering Education Seminar (1 cr.)

Electives Required (6 credits)

Students must take 6 credits of graduate courses related to their dissertation research topic and/or career goals.


Disciplinary Concentration (15 credits)

Students must take 15 credits of graduate courses in a single engineering or computer science discipline.


M.S. Requirements (without a thesis)

  • Total of 30 credits of coursework
  • Final comprehensive examination
  • Up to 9 credits may be transferred from another graduate degree program

M.S. Requirements (with a thesis)

  • Total of 30 credits
  • Successful completion of an MS thesis
  • Core Courses (15 credits)
  • Research Requirement (6 credits)
  • Additional Course Requirements

ENGINEERING Education departmental COURSES

Course List by Depts Code | Title | Credits
---|---|---
EGN 6913| Engineering Graduate Research| 0-3
EGN 6933| Special Topics| 1-3
EGS 6012| Research Methods in Engineering Education| 3
EGS 6020| Research Design in Engineering Education| 3
EGS 6050| Foundations in Engineering Education| 3
EGS 6051| Instructional Design in Engineering Education| 3
EGS 6054| Cognition, Learning, and Pedagogy in Engineering Education| 3
EGS 6056| Learning and Teaching in Engineering| 1
EGS 6085| Advanced Engineering Educational Technology| 3
EGS 6930| Engineering Education Seminar| 1
EGS 6940| Foundations of Research to Practice in Engineering Education| 1
EGS 6949| Research to Practice Experience in Engineering Education| 1-3
EGS 6971| Research for Master’s Thesis| 1-12
EGS 7979| Advanced Research| 1-12
EGS 7980| Research for Doctoral Dissertation| 1-12


College of Engineering Courses

Course List by Depts Code | Title | Credits
---|---|---
CAP 5771| Introduction to Data Science| 3
EEE 5354L| Semiconductor Device Fabrication Laboratory| 3
EEE 5776| Applied Machine Learning| 3
EEE 6778| Applied Machine Learning II| 3
EGN 5215| Machine Learning Applications in Civil Engineering| 3
EGN 5216| Machine Learning for Artificial Intelligence Systems| 3
EGN 5442| Programming for Applied Data Science| 3
EGN 5447| Mathematical Foundations for Data Science for Engineers I| 3
EGN 6216| Artificial Intelligence Systems| 3
EGN 6217| Applied Deep Learning| 3
EGN 6446| Mathematical Foundations for Applied Data Science| 3
EGN 6640| Entrepreneurship for Engineers| 3
EGN 6642| Engineering Innovation| 3
EGN 6937| Engineering Fellowship Preparation| 0-1
EGN 6951| Integrated Product and Process Design G1| 3
EGS 6039| Engineering Leadership| 3
EGS 6101| Divergent Thinking| 3
EGS 6216| AI Ethics for Technology Leaders| 3
EGS 6512| Managing Engineering with Integrity| 3
EGS 6626| Fundamentals of Engineering Project Management| 3
EGS 6628| Advanced Practices in Engineering Project Management| 3
EGS 6629| Agile Project Management for Engineers and Scientists| 3
EGS 6681| Advanced Engineering Leadership| 3
ESI 6900| Principles of Engineering Practice| 1-4


Faculty

  • Associate Professor:
    • Van Oostrom, Johannes H.
    • Villanueva Alarcon, Idalis
  • Assistant Professor:
    • Kim, Gloria Jung A
    • Rivera-Jimenez, Sindia
    • Waisome, Jeremy Alexis Magruder
  • Other:
    • Marte Zorrilla, Edwin Ambiorix
    • Ramirez Salgado, Andrea
    • Virguez Barroso, Lilianny Josefina
  • Lecturer:
    • Baisley, Amie N.
    • Goncher, Andrea
  • Assistant Engineer:
    • Cruz Castro, Laura Melissa
  • Associate Engineer:
    • Blanchard, Jeremiah J.
    • Latorre, Edward M.
  • Senior Lecturer:
    • Mendoza Garcia, John Alexander
  • Engineer:
    • Dickrell, Pamela Laurie
  • Affiliated Faculty:
    • Douglas, Elliot Paul
    • Grant, Christan Earl
    • Ruzycki, Nancy Jean
    • Taylor, Curtis

Ph.D. Student Learning Outcomes

After completion of the Ph.D., the candidate will be able to:


  • Synthesize the literature to identify research topics;
  • Create relevant research question(s);
  • Conduct independent research in engineering education to address the research question(s);
  • Conduct an analysis of needs and context to identify gaps between research and practice;
  • Collaborate with others in academia, industry, and other organizations to conduct research and develop evidence-based best practices
  • Apply engineering education research findings, methodologies, concepts, and frameworks to real-world contexts such as industry or academic training experiences, professional development, classroom innovation, or assessment
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