Teaching
You are viewing my teaching portfolio. This webpage offers a narrative of how I view teaching and mentorship, and how my pedagogical growth has been shaped through my experiences as a student and instructor.Teaching Experience
- Graduate introductory course (currently offered as "MECE E4603: Applied Robotics.")
- 59 students, online (link to course evaluations.)
- Assisted in refactoring existing course materials, redesigning problem sets, and supporting multiple student computing environments (multi-OS compatibility, Docker) to hold a fully-remote course during the COVID-19 pandemic.
- Held weekly office hours.
- Supported students' work over online discussion board and email.
- Instructor: Matei Ciocarlie
- Laboratory component of intensive 1st-year undergraduate introductory course.
- 40 students, with learning teams of approximately 4 students each.
- Contributed to design of laboratory lesson planning and learning objectives.
- Created teaching materials: slides, activity materials, animal-tracking equipment and test apparata, Matlab and python code snippets.
- Guided small groups through experimental design and execution of student-led research projects on animal locomotion and behavior.
- Head Instructor: Andrew Murray. Laboratory Instructor: Paul Shamble
- Connor Lee
- Columbia MechE Ugrad, next: Cofounder of Anthrogen
- Project: Orthosis splint development
- Runsheng Wang
- Columbia Statistics MA, next: MechE PhD at Columbia (ROAM Lab!)
- Project: ChatEMG (co-mentored with Jingxi Xu)
- Alexandra Deli-Ivanov
- Columbia MechE Ugrad, next: Mech. Design Engineer at SpaceX
- Projects: Orthosis hardware development; Passive orthosis transmission design; Volitional Stiffness Analysis (co-author); SCI Orthosis design (co-first author)
- Joaquin Palacios
- Columbia MechE Ugrad / Robotics MS, next: MechE PhD at Columbia (ROAM Lab!)
- Projects: Orthosis Biofeedback; SCI Orthosis design (co-first author)
- Akshay Venkatesan
- Columbia Data Science MS
- Project: Splint-finger dynamic interaction simulation
- Pedro La Rotta
- Columbia Robotics MS, next: ML Engineer at Accrete AI
- Projects: Brushless motor transmission; Meta-Learning (co-first author, mentored by Jingxi Xu)
- Katherine O'Reilly
- Columbia MechE Ugrad, next: MechE MS at UIUC
- Projects: Supination wearables design (co-author); Orthosis splint development; Instrumentation development
- Carolyn David
- Columbia Biomed MS, next: Human Factors R&D at Emergo
- Project: Passive orthosis transmission design
- Preethika Chivikula
- Columbia Biomed MS, next: Quality Engineer at BD Biosciences
- Project: Orthosis biofeedback electronics
- Ciara Little
- Columbia MechE Ugrad, next: Env/Water Eng. PhD at UMass Amherst
- Projects: Orthosis splint development; Splint soft-goods design and analysis
- Katelyn G. Mitchell
- Columbia MechE Ugrad, next: Mech. Design Engineer at ASML
- Projects: Orthosis splint development; Orthosis strap-finger force analysis
- See my CV for a longer list.
- Teaching Assistant for Bellarmine University Summer Youth Camps. Summer 2012, Summer 2013.
Teaching Assistant for Columbia MECE E4602: Introduction to Robotics. Fall 2020.
Course syllabus
Lab Assistant for Harvard LS50: Integrated Science. Spring 2018, Spring 2019.
LS50 website
Teaching Development Program Advanced Track.
CTL TDP website
The Teaching Development Program is a multiyear teaching certification associated with Columbia University's Center for Teaching and Learning (CTL). It focuses on cultivating, documenting, and reflecting upon evidence-based, student-centered learning. The TDP Advanced Track offers a teaching certification for attainment of objectives intrinsic to effective learning and pursuit of inquiry-based development as a teacher. This teaching portfolio and the annotated materials contained within are the capstone project for the Advanced Track.
Research Mentor.
As a PhD student at Columbia and previously a research assistant at Harvard, I have directly supervised over 20 undergraduate and masters students on projects in the areas of exoskeleton hardware, robotic rehabilitation, biosignals, and animal locomotive behavior. In addition, I have served as a research mentor for high school summer programs such as Columbia's Engineering the Next Generation (ENG) program and Center for Excellence in Education's Research Science Institute (RSI).
See a list of students that I have mentored at Columbia
2023-2024 CIRTL Fellowship.
CTL CIRTL website
"The CIRTL Fellows are Columbia doctoral students who serve as an instrumental link between the Center for the Integration of Research, Teaching, and Learning (CIRTL) network and the Columbia community. CIRTL Fellows leverage CIRTL Network resources to support evidence-based, inclusive teaching and mentorship practices in Columbia's STEM communities. This fellowship is designed for graduate students who are interested in developing resources and programming that will make STEM culture more inclusive of all learners."
-Columbia CTL
Teaching Philosophy
I draw on students' existing experiences to help them develop an aptitude for problem solving and scientific inquiry. Applying creativity and analysis to real-world, data-sparse, ambiguous observations forms the essence of engineering. The dominant STEM curricula focus on teaching analytical and design techniques through lecture-based instruction, which is very effective for teaching how to build things from first principles. But in a world where adapting existing systems to new problems is becoming increasingly accessible, such as with rapid prototyping and generative AI tools, it becomes even more important to understand how to discern how a complex system interacts with the world by probing its inputs and outputs (particularly when adapting things built by others to apply them in new contexts). I am motivated to implement emerging best practices for active learning[1,2] as an integral part of teaching engineering concepts. To teach engineering intuition, or determining which variables are most likely to be important based on observations, I think about these pedagogical ideas:
Effective learning is powered by students having ample and low-stakes opportunities for self-driven exploration and reflection.
What is needed to cultivate a supportive learning environment that enables students to develop a troubleshooting mindset through building confidence in their own observations?
Where can interactive learning opportunities supplement traditional teaching methods, and can existing methods be (re)structured to democratize the curriculum for a wider range of learner experiences?
Beyond teaching and engineering, I think developing a learning environment from these ideas (for myself as well as for students) offers a toolbox for general life. How do I distill a complex problem into testable building blocks? What can I bring in from other disciplines, and how can I communicate what I'm working on in a way that is more accessible to others? When speaking about creativity, Ira Glass said that the process for closing the gap between how our current prototype performs, versus how we wanted it to perform, relies on developing taste by going through a volume of hard work[3]. I believe that the volume of hard work is this cycle of exploration, reflection, troubleshooting; this can only be cultivated in a learning environment that supports repeated and low-stakes evaluation.
Teaching Development
My pedagogical outlook is informed by my experiences teaching at a range of scales. I have assisted intro classes for graduate students and undergraduates, and have also run demos and lab tours for elementary and middle schoolers. I have conducted teaching observations and have had my lectures observed, and have also participated in giving and receving live feedback during peer practice workshops. As a Center for the Integration of Research, Teaching, and Learning (CIRTL) Fellow, I co-developed educational resources for graduate students both within Columbia and for the cross-university CIRTL network. Many of these training opportunities, as well as teaching-focused workshops and journal clubs, were made possible by Columbia's Center for Teaching and Learning. (See details above in Teaching Experience.)
Mentorship Style
Applying robotics concepts to the design of systems that interact with real people and creatures is a highly interdisciplinary endeavor; this motivates many team-based projects as well as individual projects that can be tailored to a variety of students' technical backgrounds, interests, and longer-term goals. My approach to structuring research projects is to identify a well-defined "core" research question that has achievable short-term milestones along with many possible spin-off extension ideas. The goal is to have students exit the research experience with a completed design-build-test portfolio project, while also enabling flexibility within the research topic to hone engineering expertise or explore new technical interests.
I believe flexibility is also the key to building accessible learning experiences and supporting students, especially MS and undergraduate students who are juggling research alongside coursework and career development. Research is about tackling difficult, non-obvious problems; where and when extensive troubleshooting or design tweaks are needed is difficult to predict at the start. So although I am most comfortable teaching mechatronics concepts, the most valuable skill students can take away from a research experience with me is learning how to discern the quickest and easiest way to probe how a proposed design or concept might fail first. For me, the mentorship role in research supervision and in classroom practice are two representations of the same idea. I have also taken a similar approach in the past when advising undergraduates, either through formal programs such as Women in Science at Columbia or through informal conversations, who are exploring whether {mechanical engineering, mechatronics, rehab robotics} is right for them—the best way to test whether a topic is a good fit is to work on a project in that field and see what is or isn't enjoyable.
Feedback on my Teaching
- Student course evaluations, TA for Columbia MECE E4602: Intro to Robotics.
- Teaching Observation, facilitator for CIRTL Wowza! Discussion Series: Supporting Teaching as Scholarship.
- "I think what made my experience valuable is that Ava was great at striking the balance between giving me the freedom to explore what I am interested in, while also providing enough guidance and support when I was lost. Ava was also very good at giving me feedback, and I appreciated her investment in finding ways to align my interests with the priorities of the lab."
- "On her own initiative, Ava developed research project plans for all mentees, guided their work, [...] she is willing to back her convictions by putting in the time and effort needed for real progress, and this will continue throughout her career."
Selected Testimonials on Research Mentorship
Sample Materials
- Research expectations document that I developed for onboarding new project students in ROAM Lab under my supervision.
- Slidedeck from "Supporting Teaching as Scholarship", a workshop run online on March 22, 2024 for the CIRTL Network as part of the Columbia CIRTL Fellows' "Wowza! Discussion Series" on pedagogical practices in STEM. (see feedback from teaching observation)
- [1] Miller, Cynthia J., and Michael J. Metz. "A comparison of professional-level faculty and student perceptions of active learning: its current use, effectiveness, and barriers." Advances in Physiology Education (2014). ↩
- [2] Theobald, Elli J., et al. "Active learning narrows achievement gaps for underrepresented students in undergraduate science, technology, engineering, and math." Proceedings of the National Academy of Sciences (2020). ↩
- [3] Glass, Ira. On Storytelling" (part 3). Interview conducted by Current TV, 11 Jul 2009. ↩