CCSC:SE Conference Program
(Tentative: Subject to change prior to the conference.)
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| Friday, October 23, 2026 |
GENERAL CONFERENCE SCHEDULING
Registration
Time: 11:30 AM - 4:30 PM on Fri, 9 AM - Noon on Sat
Room:Brinkley Main Entry
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Vendor Display
Time: 11:30 AM - 4:30 PM on Fri, 9 AM - Noon on Sat
Room: Brinkley 1st Floor Auditorium Atrium |
Break Area
Time: Between concurrent sessions Friday and Saturday
Room: Brinkley 137A
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KEYNOTE ADDRESS
Time: 2:00 - 3:00p.m. Room: Brinkley Center - 137B
Title: Empowering the Internet of Agricultural Things with AI for Smarter Agriculture
Dr. Simone Silvestri (Professor in the Department of Computer Science at the University of Kentucky. Before joining UK, he was a Postdoctoral Research Associate at Pennsylvania State University.)
Abstract: Agriculture faces growing challenges, including rising costs, labor shortages, and the increasing need for efficiency and product quality. The Internet of Agricultural Things (IoAT) offers promising solutions through technologies such as weather and soil sensors, automated feeders, RFID tags, and computer vision systems, enabling data-driven decision-making. However, widespread adoption is hindered by constraints such as limited broadband connectivity, low-power device capabilities, costs, and farmer acceptance of new technologies.
In this talk, we first provide an overview of IoAT technologies and their impact on modern farming. Motivated by connectivity challenges, we present iCrop+, a LoRa-based crop disease detection system that integrates on-device AI with deep learning for remote processing. We evaluate iCrop+ using a real-world prototype, demonstrating its viability for deployment in resource-constrained agricultural environments. Subsequently, we discuss the use of IoAT technologies for disease detection in diary calves. We present a framework that efficiently performs cost-aware feature selection to provide high accuracy in detecting Bovine Respiratory Disease while reducing the cost for farmers. We conclude by providing some feature research directions and open problems
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STUDENT RESEARCH CONTEST POSTER DISPLAY
Time: 3:00 PM Location: Brinkley 1st floor Left Atriums 1 and 2 |
Concurrent Session I
Time: 3:00 p.m.-5:00 p.m.
I-A: Reviewed Papers (Brinkley Center - 115)
Session Chair: Xin Xu
Interviews for More Accurate Assessment of Computer Science Projects
Scott Spurlock, Duke Hutchings, Richard Dutton, Alex Goslen
Industry Team Project: Apprenticeship-Style Learning in the Classroom Using Starter Code and Scaffolded Onboarding
Sarah Van Wart, Kevin Sanft
Supporting Peer Connection and Conceptual Accountability through Peer-Led Team Learning in Systems Programming
Irene Humer, Torrey David Zaches, Timothy Ethan Kent, Christian Eckhardt |
I-B: Panel (Brinkley Center - 125)
Session Chair: Adam Lewis
Best Practices for Staying Aligned With AI Evolution While Protecting Your Program’s Core
Adam Lewis, Mark Hills, Augustus Scarlato, Tania Roy
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I-C: Workshop (Brinkley Center - 120)
Session Chair: Will Herrick
Teaching Accessibility for Dexterity and Cognitive Impairments in Undergraduate Computing Education Using The Accessible Learning Labs
William Herrick, Samuel Malachowsky, Farzana Rahman, Daniel Krutz
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Concurrent Session II
Time: 5:15 p.m.-6:45 p.m.
II-A: Student Research Presentations (Brinkley Center - 125)
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II-B: Reviewed Papers (Brinkley Center - 115)
Session Chair: Kevin Sanft
Beyond the Code: Teaching AI in Liberal Arts as a General Education Course
Tania Roy, Melissa Crow
Sustaining a Large-Scale K–12 Computing Outreach Program: The APSU Coding Camp Experience Since 2017
James Church, Rostyslav Karmanov, Spenser Morey, Katherine Lehtola, Kriti Chauhan, Leong Lee
Supporting Active Learning in Computer Science with Live, Gamified Classroom Quizzes
Andy Luu, Eli Young, Michael Wehar
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II-C: Nifty Assignments (Brinkley Center - 120)
Presiders: Farha Ali
Robert J. Lutz
Prompting Activities in a First-Year CS Seminar
Scott Barlowe
Multithreaded, Multiplayer Battleship
William Kreahling
Lightweight and inexpensive interactive programming widgets for providing authentic coding assessment inside your LMS∗
Cengiz Günay
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BANQUET ADDRESS
Time: 7:00 PM Location: Taylor Salon Carnegie Hotel
Title: Bless Its Heart, It Compiles: A Case for the Folkways of Computing Fundamentals
Dr. Chelsie Dubay (Assistant Professor of Computing and the Eastman Chair of Leadership at East Tennessee State University)
Abstract: In the South, "bless its heart" is how you say something looks fine on the surface but isn't quite right underneath. It's also a fair review of a lot of "vibe-coded" projects. The code compiles and runs, but it's wrong in ways only someone who understands the fundamentals will catch. As generative AI takes on more of the routine work of writing code, academic computing programs face growing pressure to trim the "old" material that tells the story of how computing works. This talk argues that the old ways aren't going away. On the contrary, they should become the foundation of AI fluency.
In Appalachia, knowledge has long traveled through storytelling and lessons shared on front porches and in kitchens. Think of a family recipe. It's an algorithm, but rarely a precise one. It calls for "a pinch" or "a handful" or cooking "until it looks right," and it only works if you've stood beside someone at the stove and learned what right looks like. AI can hand students the recipe card, but the fundamentals are where they learn what right looks like. After all, a recipe you can't make without the card isn't really yours, and the same is true of code. We'll explore how these Appalachian folkways can be retooled for teaching computing fundamentals, and how they help us decide what students can safely offload to AI and what they need to carry themselves. We'll close with the case for clear programming baselines and practical ideas for preparing graduates for an AI-forward job landscape while still passing down the old ways
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| Saturday, October 23, 2027 |
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Concurrent Session III
Time: 9:00 a.m. - 10:30 a.m.
III-A: Reviewed Papers (Brinkley Center - 125)
Session Chair: Jeff Roach
Prompting LLMs to Generate Fair Tabular Data with Locally Fair Examples
Oscar Kardon, Scott Spurlock
Online vs. Face-To-Face Student Performance in an Introduction to Operating Systems Course
Joe Dumas, University of Tennessee at Chattanooga
Context-Aware AI-Assisted Code Review for Detecting Logical Bugs in Java Using Hybrid LLM, Static Analysis, and Developer Feedback Learning
Edward Lindoo, Chirag Shah
Good Enough: Facing the Cost-Performance Tradeoff for LLMs in Computing Education
Nicholas Gardella |
III-B: National Partner Presentations (Brinkley Center - 115)
Session Chair: Adam Lewis
Scoring Like a Reader: Bringing AP CSA Exam Insights Into Your Classroom
Abstract: This presentation offers Computer Science educators an applied introduction to the principles and practices used to score AP Computer Science A free-response questions. Drawing on the AP Reading model, the session examines how official rubrics, benchmark samples, and scoring guidelines support reliable evaluation of student work while revealing common patterns in student reasoning and performance. Participants will consider how these insights can inform the design of open-ended programming tasks, strengthen classroom assessment practices, and better align instruction with expectations for authentic, rubric-based evaluation of student code.
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III-C: Workshop (Brinkley Center - 120)
Designing AI Learning Partners for Human Development in Computing Education: Conference workshop
Marlon Mejias, Oluwagbeminiyi Johnson, Eric Betties, Dale-Marie Wilson, Suryadip Chakraborty
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PROGRAMMING CONTEST
Time: 10:00 a.m. - 1:00 p.m. Room: Brinkley Center - 220
(Arrive by 9:45) |
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Concurrent Session IV
Time: 10:45 a.m. - 12:15 p.m.
IV-A: Reviewed Papers (Brinkley Center - 115)
Session Chair: James Church
Leveraging a University Space Program to Design a Modern and Flexible Computing Curriculum
Jean French, Ian Hewitte
Beyond Technical Development: Developmental Ecosystems for Professional Formation in Computing Education
Marlon Mejias, Oluwagbeminiyi Johnson, Dale-Marie Wilson, Gloria Washington
Artificial Intelligence in Phishing Detection and Prevention: A Systematic Literature Review with a Continuous Adaptive Phishing Resilience Frameworkn
MarlEdward Lindoo, Chirag Shah
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IV-B: Reviewed Papers (Brinkley Center - 125)
Session Chair: Sirazum Munira Tisha
A Serious Game Design for Targeting Computational Thinking Trouble Spots in Introductory Programming Education
Giovanni Bellio Rincon, Cheryl Seals
Engaged, But Did It Stick? A Preliminary Classroom Experiment on Game-Based Retrieval Practice in Introductory CS
Pedro González, Zubair Zabir, Will Bruzzese, Sirazum Munira Tisha
Teaching Multilingual AI Security: A Proposed Classroom Case Study on Phishing Detection in Low-Resource Languages
Nilanjana Raychawdhary, Dr. Gerry Dozier, Dr. Cheryl D. Seals
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IV-C: Workshop (Brinkley Center - 120)
A Study of the Concepts, Capabilities, and Limits of Quantum Computing
Adam Lewis
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LUNCHEON
Time: 12:30 - 1:30 p.m. Location: Taylor Salon Carnegie Hotel
(Separate lunch to be provided for student research and programming contest participants.)
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AWARDS CEREMONY AND CONFERENCE WRAP-UP
Time: 1:30 p.m. Location: (Brinkley Center - 137B) |