Engineering Teaching Consultants
Who are the Engineering Teaching Consultants?
The Engineering Teaching Consultants (ETCs) at the College of Engineering (CoE) are a group of experienced Graduate Student Instructors (GSIs) who serve as consultants and teaching mentors to the rest of the GSI and IA population in the CoE. The ETCs at the CoE are centrally organized through the Office of the Associate Dean for Graduate Education and are trained and supervised by staff from the Center for Research on Learning and Teaching in Engineering (CRLT-Engin).
The ETC program in the CoE was founded on the belief that developing GSIs could benefit from the unique guidance, support, and experience that peer mentors provide. While all GSIs have access to mentoring from their advisors or other professors in their department, the peer mentor relationship provides a safe venue for the exploration of teaching strategies and discussion of teaching initiatives and issues. ETCs in the CoE are trained to mentor in a facilitative way, a model that appeals to their own sense of their role, and approaches the collegial style of supervision preferred by most GSIs. Additionally, the nature of the peer mentor-mentee interaction is such that it benefits both individuals and becomes a valuable learning experience for the ETCs as well.
I am a Ph.D. Candidate in Civil and Environmental Engineering. My research focuses on studying the effect of temperature gradients in structural systems that develop during a fire. I have been a GSI for a variety undergraduate courses: CEE 303, Computational Methods for Scientists and Engineers; CEE 312, Structural Engineering; CEE 402, Professional Issues and Design. These courses have given me experience in developing course materials, leading lab sections, managing student group dynamics, guest lecturing, office hours, and grading. All classrooms are unique, and I am particularly interested in finding productive ways to incorporate the latest engineering education research into personal teaching styles.
I’m an international PhD Candidate in Computer Science and Engineering, in the Language and Information Technologies lab (LIT). My research is at the intersection of Computer Vision and Natural Language Processing, with a focus on human action detection from vlogs or videos in which people describe their routine activities. I have been a GSI for EECS 476 Data Mining, and a volunteer in the AI4ALL summer program, where I taught underrepresented students about Computer Science and Artificial Intelligence (AI). During these activities, I discovered that I enjoy teaching and helping others.
I’m a PhD Candidate in Mechanical Engineering. My research focuses on designing control systems for wearable robots, like bionic prostheses and exoskeletons. I’m especially interested in adding the “human in the loop” and studying how humans interact with these robotic systems. My past educational experiences have spanned all age groups—I have worked at daycares and summer camps, tutored high school students, and served as a Resident Advisor. As a graduate student here at Michigan, I have served as a GSI for two semesters of ME240 (Introduction to Dynamics and Vibrations). My most recent GSI role was exclusively online via BlueJeans. After this experience, I am very interested in thinking about new ways to make remote learning accessible, effective, and engaging. My goal for engineering education is to place equal emphasis on teaching excellence and technical proficiency. I am excited to join the ETC program and to share the amazing resources CRLT–Engin with GSIs, IAs, and faculty members.
I am currently a Ph.D. candidate in Electrical and Computer Engineering. My research focuses on design, modeling, and fabrication of III–Oxide ultrawide bandgap materials and devices for high power applications. I have been a GSI for EECS 215 (Introduction to Electronic Circuits) here at U–M, where I have designed and lead lab sessions, held office hours, and developed assignments. Additionally, I have taught courses on programming languages and signal processing at other institutions. I am excited to serve as an ETC and help GSIs and IAs to develop teaching philosophy and strategy.
I am currently a Master’s student in Computer Science and Engineering. My research is in programming languages, particularly their user interfaces. During my time as an undergraduate, I worked as a TA for four semesters, once for an introductory programming course, twice for a software engineering course, and once for a compilers course. During my time at the University of Michigan, I have worked as a GSI for the revamped version of EECS 490 (Programming Languages), where I led a discussion section, developed discussion and assignment materials, and held help hours. From these experiences, I have had the opportunity to teach a wide range of undergraduate students (from freshman to seniors) and worked through the transition to online learning. I am very passionate about teaching and learning! As an ETC, I am excited to work with GSIs and IAs as we figure out how best to help students learn, particularly under different circumstances. I am happy to chat about teaching or speak to any questions or concerns.
I’m a Ph.D. candidate in Chemical Engineering. My research is developing mathematical mass transfer models for oral drug delivery and mainly focuses on the effect of the GI tract physiological parameters in drug dissolution and absorption. I have been a graduate student instructor for ChE 341 (Fundamental of fluid mechanics) for one semester here at U–M, where I have designed and presented short lectures in discussion sessions, held office hours, and developed exams. Additionally, I have served as a GSI for ChE 360 (Chemical Engineering Laboratory I) for four consecutive semesters, where I managed two lab sessions, presented technical lectures, designed projects, and held office hours. Furthermore, I have been a teaching assistant for two courses at my undergraduate institution. As an ETC, I am excited to work with GSIs from a wide variety of disciplines and learn more about their classroom experiences.
I am a PhD student in Computer Science and Engineering. My research focuses on artificial intelligence and robotics, specifically how to improve robot manipulation through more advanced reasoning over actions and robust action execution. As an undergraduate at Monmouth College, I helped run computer science labs and served as the general computer science subject tutor. At the University of Michigan, I have served as a GSI for EECS–492 Foundations of Artificial Intelligence and EECS–203 Discrete Math, and I tutor undergraduate mathematics and computer science courses through the Academic Success Program. I believe STEM education needs to be more diverse and inclusive, specifically for underrepresented groups of students, in order to provide the best educational experience that allows students to succeed. We as student instructors can affect these positive changes for our students, and as an ETC, I am looking forward to providing support for GSIs so we can provide a better educational experience.
I am currently a PhD student in the Applied Physics program at U-M with research focus in the area of Optoelectronic Components and Materials. Specifically, I work in the field of Organic Photovoltaics [stuffs that turn sunlight into electrical energy]. Teaching has always been my passion. I have taken the full ChE 580 course (also called ENGR 580) that covers all of the main aspects of dispensing tertiary STEM education and have served as a mentor for the Postgraduate Short Course on teaching. Previously, I taught a couple of undergraduate courses in physics, mathematics and chemistry at the University of Liberia. I am excited to serve as an ETC since I will have the chance to share a valuable mixture of the experiences I have gained here and the learning and teaching experiences I have had in Liberia – my country of origin. My past experiences provide me with some unique perspectives on STEM education that can become useful references to share as we all learn from each other in the effort to make STEM education better.
I’m a Ph.D. student in the Civil and Environmental Engineering Department. My research focuses on image analysis techniques for various geotechnical engineering applications. I have been a GSI for CEE 345: Geotechnical Engineering, as well as a Peer Advisor for the Undergraduate Research Opportunity Program (UROP). These two experiences have helped me gain a breadth of teaching and mentoring skills that I’m excited to pass onto other student instructors. I have experience designing and leading lectures and laboratory sections, holding office hours, grading, and creating assessment tools. Collaboration, inclusivity, and accessibility are always the core of my teaching.