Noah is doing research advised by Professor Lecia Barker at the University of Colorado Boulder.
Current Projects:
Conducting mixed methods research—interviews, survey, and discourse analysis—investigating why computer science professionals specify into different sub-disciplines (e.g., AI, HCI, Cybersecurity).
Designing and testing theoretically informed curriculum to utilize interdisciplinary transfer to decrease intrinsic cognitive load, increase self-efficacy, and improve conceptual understanding in introductory programming.
Contributing to a 47-participant interview study investigating first year women’s experiences in computing courses. Involves running a lab group of four undergraduate researchers, and giving feedback on the interview and data analysis process.
Past Projects:
Coded a software extension to the Micro:bit MakeCode interface to incorporate physical play coding blocks, with the goal of making programming education more accessible and fun. Will be published at ACM CHI 2024. With Professor Junnan Yu.
Conducted survey study to investigate undergraduate CIS students preconceptions of Cybersecurity and Artificial Intelligence, which will be published as a paper and poster in ACM SIGCSE 2024. With Professor Casey Fiesler.
Conducted a mixed methods study of undergraduate CIS students during the COVID-19 pandemic to investigate the challenges and opportunities afforded by synchronous remote learning in Computer and Information Science (CIS) education,. A portion of this research was accepted as a book chapter, Student perspectives on distraction and engagement in the synchronous remote classroom, with further results published in a paper and poster in the 2023 ACM SIGSCE conference and another in IEEE FIE 2023.
Created an interdisciplinary pre-college summer statistics curriculum to teach R-Studio/R-Markdown to High-School students for the data education non-profit Data Stories. Please contact if you think this curriculum may be of use to you!
Created a collection of interactive elements for use in virtual CIS classrooms to serve teachers during the pandemic shutdown as part of the NCWIT K-12 Alliance Back to School and Virtual Resources huddle. These resources aim to engender feelings of interest, belonging, and identity around CIS, and encourage students to continue taking classes.
Created a visualized explainable for the artificial intelligence algorithm "Bayesian Knowledge Tracing", utilizing active user hypothesis generation as a model, and conducting cognitive task analysis interviews on participants learning about the algorithm. This was accepted as a workshop paper to IEEE VIS 2019. Further work was accepted as a paper in ACM AIED 2023. With Catherine Yeh and Professor Iris Howley.