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

Reflecting on Thematic Analysis in Computer Science Education Research: A Field Guide for Researchers and Reviewers
Aadarsh Padiyath, Tamara Nelson-Fromm (2026)
ACM Technical Symposium on Computer Science Education🏆 Best Paper
Clarifies three distinct approaches to thematic analysis (coding reliability, reflexive, codebook) and provides guidance for authors and reviewers to address widespread methodological confusion in CS education research.
How Teacher Educators Adapt Debugging Instruction for Non-CS Teachers in K-12 Professional Development Practices
Tamara Nelson-Fromm, Aadarsh Padiyath, Mark Guzdial (2026)
ACM Technical Symposium on Computer Science Education
Explores how teacher educators adapt debugging instruction for non-CS K-12 teachers in professional development, examining what debugging knowledge teachers need for alternative computing education endpoints.

2025

Validation of the Critical Reflection and Agency in Computing Index: Do Computing Ethics Courses Make a Difference?
Aadarsh Padiyath, Casey Fiesler, Mark Guzdial, Barbara Ericson (2025)
ACM Conference on International Computing Education Research
Validates the Critical Reflection and Agency in Computing Index through two surveys (N=474, N=464), demonstrating distinct dimensions of ethical development while revealing that ethics courses improve some dimensions but also strengthen techno-solutionist beliefs.

Index User Guide: Critical Reflection and Agency in Computing Index
Development of the Critical Reflection and Agency in Computing Index
Aadarsh Padiyath, Mark Guzdial, Barbara Ericson (2025)
ACM CHI Conference on Human Factors in Computing Systems🏅 Honorable Mention
We contribute a theory of computing ethics pedagogy, alongside the development of a scale to measure students' attitudes towards computing ethics.

Index User Guide: Critical Reflection and Agency in Computing Index
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

Examining the Relationship between Socioeconomic Status and Beliefs about Large Language Models in an Undergraduate Programming Course
Amy Pang, Aadarsh Padiyath, Diego Viramontes Vargas, Barbara Ericson (2024)
ACM Virtual Global Computing Education Conference
Socio-economic status was positively associated with believing LLM use will lead to career success in undergraduate students.
Do I Have a Say in This, or Has ChatGPT Already Decided for Me?
Aadarsh Padiyath (2024)
XRDS: Crossroads, The ACM Magazine for Students
We should attempt to be self-aware, set boundaries, with LLMs so that we are not as surprised by their effects when we use them.
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.
A Realist Review of Undergraduate Student Attitudes towards Ethical Interventions in Technical Computing Courses
Aadarsh Padiyath (2024)
ACM Transactions on Computing Education
Students attitudes towards ethics interventions in their technical courses are complex, following many pathways. Four theories were identified to help guide interventions towards success.

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.
Putting a teaspoon of programming into other subjects
Mark Guzdial, Emma Dodoo, Bahare Naimpour, Tamara Nelson-Fromm, Aadarsh Padiyath (2023)
Communications of the ACM
Task-specific programming (TSP) languages are an easy and helpful way of incorporating programming into broader subjects.
Critiquing Computing Artifacts through Programming Satirical Python Scripts
Aadarsh Padiyath, Tamara Nelson-Fromm, Barbara Ericson (2023)
IEEE Research in Equity and Sustained Participation in Engineering, Computing, and Technology
Programming scripts containing egregious/satirized versions of Dr. Ruha Benjamin's "glitches" in software were a valuable way of critiquing computing artifacts.

2021 - Graduated with Master's in Computer Science; Began PhD

desAIner: Exploring the Use of "Bad" Generative Adversarial Networks in the Ideation Process of Fashion Design
Aadarsh Padiyath, Brian Magerko (2021)
ACM Creativity & Cognition
Some fashion designers don't like the incestuous nature of GANs trained on existing fashion, but were inspired by the amorphous images it generated.
The role of collaboration, creativity, and embodiment in AI learning experiences
Duri Long, Aadarsh Padiyath, Anthony Teachey, Brian Magerko (2021)
ACM Creativity & Cognition
Intimidation and age were two main inhibitors to collaborative interaction in AI literacy take-home museum exhibits.

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.