Computers in Education Division (CoED)/ASEE 2026 · Charlotte, NC

Tracks, Posters & Best of CoED

The full technical program by thematic track, the Best of CoED paper session, and every poster in the Division poster session.
3Thematic Tracks
6Poster Themes
26Posters
4Best-of Papers

Technical Sessions by Track

26 sessions · 103 papers
A
AI in Education
Tools, Tutors, Curriculum & Reflection
9 sessions
M308A Mon · 11:00 AM
Faculty AI Policies and Ethical Practice
CCC · E-220BC · 4 papers · Mod. Benjamin E Chaback
M408A Mon · 1:30 PM
AI Companions and Tutors for Learning
CCC · W-207BC · 3 papers · Mod. Carlotta A. Berry
M508B Mon · 3:15 PM
AI-Augmented Software Engineering Practice
CCC · E-220BC · 4 papers · Mod. Mattox Beckman
T308A Tue · 11:00 AM
AI in Engineering Curriculum and Course Integration
CCC · W-207BC · 4 papers · Mod. Shilpa Gupta
T408C Tue · 1:30 PM
Active Learning, Engagement, and Learning Assistants
CCC · W-205B · 4 papers · Mod. Diley Hernandez
T508A Tue · 3:15 PM
AI Agents, Multi-Agent Systems, and Conversational Tools
CCC · W-205B · 4 papers · Mod. Kamalamalini Nagasundaram
W108B Wed · 8:00 AM
Learning Analytics, Networks, and Predictive Models
WC · Kings · 5 papers · Mod. Walter Schilling
W308 Wed · 11:30 AM
Curriculum, Workforce, and Emerging Computing Topics
WC · Independence · 4 papers · Mod. Tejal Mulay
W408 Wed · 2:00 PM
Generative AI Across the Curriculum: Practice and Reflection
WC · Harris · 4 papers · Mod. Keith Hekman
B
Learning, Engagement & Inclusion
Student Outcomes, Equity & Modalities
9 sessions
M308B Mon · 11:00 AM
Student Use and Perceptions of Generative AI
CCC · E-220A · 4 papers · Mod. Menaka Abraham
M408B Mon · 1:30 PM
AI for Assessment, Grading, and Feedback
CCC · E-220BC · 4 papers · Mod. Kamalamalini Nagasundaram
M508A Mon · 3:15 PM
Peer Engagement and Help-Seeking in Introductory Computing
CCC · E-220A · 4 papers · Mod. Brian Fiegel
T208 Tue · 9:15 AM
Equity, Accessibility, and Neurodiverse Learners
CCC · W-207BC · 4 papers · Mod. Joshua Hertz
T308B Tue · 11:00 AM
AI Literacy and K-12 AI Education
CCC · W-201C · 4 papers · Mod. Chris Bourke
T408A Tue · 1:30 PM
Robotics and Embodied Learning
CCC · W-201A · 4 papers · Mod. Ivan Abraham
T508B Tue · 3:15 PM
Spatial Skills, Embodied Cognition, and Multimodal Sensing
CCC · W-207BC · 4 papers · Mod. Benjamin E Chaback
W108 Wed · 8:00 AM
Programming Misconceptions and Conceptual Understanding
WC · Queens · 4 papers · Mod. Mattox Beckman
W308B Wed · 11:30 AM
Project-Based and Practicum-Style Learning
WC · Harris · 4 papers · Mod. Carlotta A. Berry
C
Computing Pedagogy & Methods
Foundations, Practice & Synthesis
8 sessions
M308C Mon · 11:00 AM
Course Design and Engagement in Introductory Computing
CCC · W-207BC · 4 papers · Mod. Ivan Abraham
M408C Mon · 1:30 PM
Cybersecurity Education
CCC · E-220A · 4 papers · Mod. Matthew Fendt
M508C Mon · 3:15 PM
Gamification and Game-Based Learning in Computing
CCC · W-207BC · 4 papers · Mod. Akshay Mathur
T308C Tue · 11:00 AM
Computational Thinking and CS Pedagogy
CCC · W-201A · 4 papers · Mod. Matthew Fendt
T408B Tue · 1:30 PM
Virtual Reality for Engineering and Lab Training
CCC · W-207BC · 4 papers · Mod. Tejal Mulay
T508C Tue · 3:15 PM
Frameworks, Acceptance, and Scoping Reviews in Computing Education
CCC · W-201D · 4 papers · Mod. Lawrence Whitman
W408B Wed · 2:00 PM
Educational Apps, Tools, and Frameworks
CCC · E-212B · 4 papers · Mod. Benjamin E Chaback
W508 Wed · 3:45 PM
Reviews, Synthesis, and Future Directions
CCC · E-212B · 3 papers · Mod. Neha Rani
Division Special Event · Honors

Best of CoED Paper Session

Monday, Jun 22 · 3:15 PM – 4:45 PM · M508D · W-209B · Moderator Jean Mohammadi-Aragh
★
Teaching Floating-Point Representation with an 8-Bit Format: The One-Byte Float Approach
Dr. John K. Estell, Ian Meyer Kropp, Stephany Coffman-Wolph
★
Quantum AI for Engineering Education: Assessment of Students’ Problem-Solving Performance in Electric Circuits
Oenardi Lawanto, Wade H Goodridge, sehrish jabeen, Zain ul Abideen, Rifatul Islam Himel, Yashin Brijmohan
★
Students’ Critical Thinking Conceptions as Predictors of Skill Development in Computer Engineering Capstone Courses
Trinidad Sofia Balart, Gibin Raju, Kristi J. Shryock
★
AI-Assisted Machine Learning Result Interpretation: Effects on Student Learning and Confidence in an Undergraduate ML Course
Vinod Kumar Ahuja

CoED Poster Session

26 posters
Monday, Jun 22 · 9:15 AM – 10:45 AM · Hall A (Exhibit Hall BC) · Judged for the Woody Everett Award · board numbers shown at left

AI Tools and Chatbots in Education

81WIP: A Virtual Teaching Assistant to Engage in Effective Pedagogical Methods — Jonathan Steffens
82WIP: AI-Powered Knowledge Graph System for Personalized SQL Learning and Adaptive Feedback in Database Systems Education — Dylan Dunham
83WIP: Autoethnography Assistant: An AI interview tool to support qualitative inquiry. — Dr. Leo C. Ureel II
89WIP: Low Effort, High Grades? Benchmarking LLMs on Various Engineering Assignments — Yuxuan Chen
95Work in Progress: Beyond Words – A Multimodal AI Coaching Tool to Enhance Communication Skill Development in Engineering Education — Guang Yang
96Work in Progress: From Textbooks to Interactive Visualization – 3D STEMulate: An AI-Powered Platform for STEM Education — Dr. Hamid S Timorabadi P.Eng.
97Work in Progress: GUIDE—An AI-Powered Co-Pilot for Student Academic Pathways in Engineering — Zhuo Zhang

Generative AI in CS and Engineering Coursework

79Effective Use of Generative AI for Reducing Knowledge Gap — Se Jeong Yang
84WIP: Diagnosing CS1 Misconceptions with LLMs: A Pilot Study on Alignment, Variability, and Prompt Sensitivity — Kamalamalini Nagasundaram
86WIP: From Proofs to Programs - Integrating GenAI and Interactive Applets in Graduate Control Theory Course — Ivan Abraham
101Work-in-Progress: Investigating Novice End-User Programmers’ Problem-Solving Through Student–GenAI Interaction Patterns — Mrs. Fadhla Binti Junus
102[Work-in-Progress]  The Impacts of Students’ GenAI Interactions on Their Social and Psychological Dynamics: Preliminary Findings from a Systematic Review in Engineering and Computing Education — Dr. Eunsil Lee

Computational Thinking and K-12 Computing

91WIP: SnapBots: Fostering Collaborative and Accessible Computational Thinking Education for Elementary and Middle School Students by Programming with Pencil and Paper — Duncan Johnson
92WIP: The Influence of Block and Text Coding Interventions on Computational Thinking in Undergraduate Computer Science Students — Dr. Daniel W. Burleson
100Work-In-Progress: Designing Curricular Materials to Support Teacher Learning for Interdisciplinary Computer Science Education — Shannon Gooden Davidson

Embedded Systems and Robotics Education

88WIP: Leveraging Embedded Systems and Edge Intelligence to Enhance High-schoolers’ Conceptual Change about AI — Woorin Hwang
90WIP: Sim-to-Real Quadruped Robotics with Scaffolded Lab Modules for Motion, Perception, and Multi-Robot Coordination — Chinmay Dhanraj Nehate

Course Design, Pedagogy, and Hands-On Learning

78Annotators Increased Research Career Interest After Participating in Human Labeling Tasks for AI/ML Research — Teresa Angelie Myrthil
80WiP : Comparing Programming Interest/Perceptions with Cornerstone Project Modifications — Dr. James E. Lewis
85WIP: From Curiosity to Impact - A Pedagogical Framework for Research-Based Learning in Computer Science — Raghavi Sakpal
87WIP: Insights From Improving Student Outcomes in a Small Class Using Oral Exams and Other Student Engagement Techniques — Matthew Fendt
94Work In Progress - Empowering Undergraduates with Virtual Labs: Interactive Learning of Core Engineering Principles using Ansys Discovery — Dr. Kaitlin Tyler
98Work in Progress: Identifying and Sharpening Student’s Conceptions of Induction in a Coursework Context — Nirvaan Khera

Assessment and Cognitive Engagement

93WIP: Tracking Cognitive Engagement via Micro-Facial Expressions during Engineering Problem-Solving — Talha Naqash
99Work-In-Progress: A Scoping Review of Factors Influencing the Success of Digital Games in Engineering Education — Tristan Letizia
103Work‐in‐Progress: An Investigation into the Benefits of Tagged Assessment Scores — Prof. Robert M Nickel
COMPUTERS IN EDUCATION DIVISION · ASEE 2026 · CHARLOTTE, NC
Tracks, Posters & Best of CoED · https://aseecoed.com/