These are my academic publications.
I have published 16 peer-reviewed papers!
You can see who's citing them on
Google Scholar,
Semantic Scholar, or
ACM.
In Progress
A paper on the use of GenAI in a programming course
under review
A paper on adversarial thinking
under review
A paper on teaching empathy and ethics
under review
2026 - Graduating with PhD in Information
2025
Can a Free Tool in an Ebook Platform, Searchable Question Bank, and Summer Workshop Help Instructors Adopt Peer Instruction? Barbara Ericson, Xingjian (Lance) Gu, Zihan Wu, Shefali Patel, Aadarsh Padiyath
(2025) ACM Technical Symposium on Computer Science Education
Investigates whether providing instructors with a free ebook platform tool, searchable question bank, and summer workshops can encourage adoption of peer instruction by addressing barriers like lack of awareness, time, and content coverage concerns. 2024
Insights from Social Shaping Theory: The Appropriation of Large Language Models in an Undergraduate Programming Course Aadarsh Padiyath, Xinying Hou, Amy Pang, Diego Viramontes Vargas, Xingjian (Lance) Gu, Tamara Nelson-Fromm, Zihan Wu, Mark Guzdial, Barbara Ericson
(2024) ACM Conference on International Computing Education Research
Students often internalize technological determinism narratives when deciding whether to adopt LLMs into their learning processes, however, after becoming self-aware about negative impacts on their learning, they often changed their behavior. Undergraduate Student Attitudes towards a Social Justice Context in a Programming Project Aadarsh Padiyath, Kyle Ashburn, Barbara Ericson
(2024) ACM Technical Symposium on Computer Science Education
Our students supported social justice contexts and content within their programming education, and requested deeper dives and discussions that challenge their preconceived notions. 2023
Multi-Institutional Multi-National Studies of Parsons Problems Barbara Ericson, Janice L. Pearce, Susan H. Rodger, Andrew Csizmadia, Rita Garcia, Francisco J. Gutierrez, Konstantinos Liaskos, Aadarsh Padiyath, Michael James Scott, David H. Smith IV, Jayakrishnan M. Warriem, Angela Zavaleta Burnuy
(2023) ACM Innovation and Technology in Computer Science Education, Working Group Track
This article contributes an analysis of recent Parsons problem research papers, an itemization of considerations for MIMN studies, the results from our MIMN studies of Parsons problems, and a discussion of recent and future directions for MIMN studies of Parsons problems and more generally. 2021 - Graduated with Master's in Computer Science; Began PhD
2020 - Began Master's Degree
Parqr: Automatic post suggestion in the piazza online forum to support degree seeking online masters students India Irish, Roy Finkelberg, Daniel Nkemelu, Swar Gujrania, Aadarsh Padiyath, Sumedha Raman, Chirag Tailor, Rosa Arriaga, Thad Starner
(2020) ACM Learning@Scale
Contributed a new tool, a recommendation engine, that helped students find previously answered questions on Piazza easily, reducing duplicate questions.
Aadarsh Padiyath, Xinying Hou, Amy Pang, Diego Viramontes Vargas, Xingjian (Lance) Gu, Tamara Nelson-Fromm, Zihan Wu, Mark Guzdial, Barbara Ericson (2024)
ACM Conference on International Computing Education Research
Students often internalize technological determinism narratives when deciding whether to adopt LLMs into their learning processes, however, after becoming self-aware about negative impacts on their learning, they often changed their behavior.