WIP: Towards an AI Teaching Assistant for Aerospace Engineering Lab Courses Bobby Hodgkinson hodgkinr@colorado.edu Smead Aerospace Engineering Sciences University of Colorado at BoulderIntroductionThe overarching aim of our current endeavors is to develop a comprehensive AI-based laboratoryteaching assistant framework, eventually including a personalized tutoring system, tailored forhigher education. This concept echoes the utility of platforms like Khanmigo [1] but isspecifically tailored to address the complexities and demands of higher education learningenvironments with large
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models for students thinking of attending college 1(Knight et al., 2019; Hinojosa, 2018). In addition to mentorship, SCENIC also provides high quality environmental monitoringequipment to support engineering and science learning in rural communities. This is importantbecause rural high schools often cannot afford quality laboratory equipment like universityresearchers use. While schools closer to universities might have access to these resources simplydue to the privilege of proximity, the nature of geographic isolation for much of rural Coloradomakes accessing university resources a challenge. SCENIC seeks to disrupt this inequity
earlyexposure to laboratory environments across a spectrum of engineering majors. For example,students spent two lessons in the aeronautical engineering lab when practicing rapid prototypingtechniques with cardboard and glue. They spend two lessons in the civil engineering lab whenworking with drills and saws to practice making something out of wood. They spent two lessonsin the electrical engineering lab when learning about Raspberry Pi microcontrollers, 3D printedtheir SolidWorks drawings in the mechanical engineering lab, and tested their final prototypes ona vibe table in the astronautical engineering lab. Such early lab engagement not only demystifiedthe operations within diverse engineering sectors but also allowed students to make
touch, which can cause discomfort andincreased anxiety and distrac�ons in educa�onal se�ngs like classrooms, laboratories, and par�cularlyfast-paced environments that o�en change or require adap�ons (Bolourian et al., 2018; Dwyer et al.,2023; Kouo et al., 2021; Pesonen et al., 2020; Robert, 2023; Taylor et al., 2019; Ward & Webster, 2018).However, au�s�c traits also include deep focus and interests, aten�on to details, perceiving complexsequences and paterns, diligence, and steady work habits (Grandin, 2022). Au�s�c people o�en haverigid thinking and fixa�ons on one solu�on, idea, or process and are notorious rule followers (Kouo et al.,2022). This means that they may not be very good at cri�cal thinking and may lack pa�ence with