These are my academic publications.
I have published 19 peer-reviewed papers!
You can see who's citing them on
Google Scholar,
Semantic Scholar, or
ACM.
In Progress
A paper on student GenAI reliance boundaries in programming education
in preparation
A paper on ethical agency in software development and CS ethics education
under review
A paper on ethics in a critical software design course
under review
2026 - Graduating with PhD in Information; Began Postdoctoral Research Fellowship
Creative Exploration Meets Time Constraints: Academic and Professional Approaches to Adversarial Thinking
Accepted at ITiCSE 2026. Proceedings forthcoming July 2026.
WIP: Teaching Empathy, Leadership, and Ethics in Computing
Accepted at ASEE 2026. Proceedings forthcoming.
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. 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.