EAAI-23 Program Schedule

last updated: January 18, 2023

Room 207A, Level 2

Saturday, February 11, 2023

All times are Eastern Time Zone

8:30 - 8:45: Welcome
Michael Guerzhoy and Pat Virtue

8:45 - 9:30: Model AI Assignments I
Chair: Todd Neller

Analyzing the COMPAS Recidivism Algorithm
Raechel Wallker, Olivia Dias, Zeynep Yalçın, Cynthia Breazeal, Matt Taylor, and Michele Donini
The WARLACS AI Assignments
Erin Talvitie
Regret Matching Notebook
Charlie Pilgrim and Paolo Turrini

9:30 - 10:00: Blue Sky Ideas
Chairs: Michael Guerzhoy and Pat Virtue

How could we teach AI topics at an early undergraduate or a secondary school level?
Rajiv Ratn Shah
Can we use some advances in AI to teach AI? How could we make AI education more interdisciplinary?
Yaman Kumar
Using Critical Design Methods to Teach AI Ethics
Alexi Orchard
Making AI Education More Interdisciplinary Through Computational Creativity
Carolyn Jane Anderson

10:00 - 10:30: Poster Previews I
Moderators: Michael Guerzhoy and Pat Virtue

Build-A-Bot: Teaching Conversational AI Using a Transformer-Based Intent Recognition and Question Answering Architecture
Kate Pearce, Sharifa Alghowinem, and Cynthia Breazeal
“How Can I Code A.I. Responsibly?”: The Effect of Computational Action on K-12 Students Learning and Creating Socially Responsible A.I.
H. Nicole Pang, Robert Parks, Cynthia Breazeal, and Hal Abelson
CLIPS Stars Assignment
Terrence Fries
Responsible Robotics -- A Socio-Ethical Addition To Robotics Courses
Joshua Vekhter and Joydeep Biswas
FOLL-E: Teaching First Order Logic to Children
Simon Vandevelde and Joost Vennekens
Maestro: A Gamified Platform for Teaching AI Robustness
Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh, Zhou Li, and Sergio Gago Masague
Data Labeling for Machine Learning Engineers: Project-Based Curriculum and Data-Centric Competitions
Anastasia Zhdanovskaya, Daria Baidakova, and Dmitry Ustalov

10:30 - 10:35: Distributed Teaching Collaboratives Announcement
Yolanda Gil

10:35 - 10:45: Coffee Break

10:45 - 11:15: AI for Education I
Chair: Collin Lynch

Concept Activation Vectors for Interpretable Raw Time Series Models in Education
Mohammad Asadi, Vinitra Swamy, Jibril Frej, Julien Vignoud, Mirko Marras, and Tanja Käser
Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives
Fanglan Chen, Subhodip Biswas, Zhiqian Chen, Shuo Lei, Naren Ramakrishnan, and Chang-Tien Lu

11:15 - 12:00: Resources for Teaching AI in K-12 I
Chairs: Christina Gardner-McCune and Dave Touretzky

Design and Develop AI Learning Resources for Compulsory Education in China
Jiachen Song, Jinglei Yu, Li Yan, Linan Zhang, and Yu Lu
Beyond Black-Boxes: Teaching Complex Machine Learning Ideas Through Scaffolded Interactive Activities
Brian Broll and Shuchi Grover
Scratch for Sports: Athletic Drills as a Platform for Experiencing, Understanding, and Developing AI-driven Apps
Vishesh Kumar and Marcelo Worsley

12:00 - 2:00: Lunch Break

2:00 - 3:00: AAAI/EAAI Patrick Henry Winston Outstanding Educator Award

3:00 - 3:15: Break

3:15 - 4:15: Poster Session and Coffee Break

4:15 - 5:00: Resources for Teaching AI in K-12 II
Chairs: Christina Gardner-McCune and Dave Touretzky

Exploring Artificial Intelligence in English Language Arts with StoryQ
Jie Chao, Rebecca Ellis, Shiyan Jiang, Carolyn Rose, William Finzer, Cansu Tatar, James Fiacco, and Kenia Wiedemann
Guiding Students to Investigate What Google Speech Recognition Knows About Language
David Touretzky and Christina Gardner-McCune
An Introduction to Rule-Based Feature and Object Perception for Middle School Students
Daniella DiPaola, Parker Malachowsky, Nancye Blair Black, Sharifa Alghowinem, Xiaoxue Du, and Cynthia Breazeal

5:00 - 5:45: AI for Education II
Chair: Collin Lynch

Solving Math Word Problems Concerning Systems of Equations with GPT3
Mingyu Zong and Bhaskar Krishnamachari
H-AES: Towards Automated Essay Scoring for Hindi
Shubhankar Singh, Anirudh Pupneja, Shivaansh Mital, Cheril Shah, Manish Bawkar, Lakshman Prasad Gupta, Ajit Kumar, Yaman Kumar, Rushali Gupta, and Rajiv Ratn Shah
Detecting Exclusive Language During Pair Programming
Solomon Ubani, Rodney Nielsen, and Helen Li

5:45 - 6:15: Main Track I
Chairs: Michael Guerzhoy and Pat Virtue

AI and Parallelism in CS1: Experiences and Analysis
Steven Bogaerts
Autonomous Agents: An Advanced Course on AI Integration and Deployment
Stephanie Rosenthal and Reid Simmons

Sunday, February 12, 2023

8:45 - 9:00: Announcements
Michael Guerzhoy and Pat Virtue

9:00 - 9:30: Resources for Teaching AI in K-12 III
Chairs: Christina Gardner-McCune and Dave Touretzky

Literacy and STEM Teachers Adapt AI Ethics Curriculum
Benjamin Walsh, Bridget Dalton, Stacey Forsyth, and Tom Yeh
AI Audit: A card game to reflect on everyday AI systems
Safinah Ali, Vishesh Kumar, and Cynthia Breazeal

9:30 - 10:00: Main Track II
Chairs: Michael Guerzhoy and Pat Virtue

AI Made By Youth: A Conversational AI Curriculum for Middle School Summer Camps
Yukyeong Song, Gloria Ashiya Katuka, Joanne Barrett, Xiaoyi Tian, Amit Kumar, Tom McKlin, Mehmet Celepkolu, Maya Israel, and Kristy Boyer
An Analysis of Engineering Students' Responses to an AI Ethics Scenario
Alexi Orchard and David Radke

10:00 - 10:30: Poster Previews II
Moderators: Michael Guerzhoy and Pat Virtue

Context-Aware Analysis of Group Submissions for Group Anomaly Detection and Performance Prediction
Narges Norouzi and Amir Mazaheri
Does Knowing When Help is Needed Improve Subgoal Hint Performance in an Intelligent Data-driven Logic Tutor?
Nazia Alam, Mehak Maniktala, Behrooz Mostafavi, Min Chi, and Tiffany Barnes
Learning Logical Reasoning Using an Intelligent Tutoring System: A Hybrid Approach to Student Modeling
Roger Nkambou, Janie Brisson, Ange Tato, and Serge Robert
Learning Affects Trust: Design Recommendations and Concepts for Teaching Children—and Nearly Anyone—about Conversational Agents
Jessica Van Brummelen, Mingyan Claire Tian, Maura Kelleher, and Nghi Hoang Nguyen
A study of students’ learning of computing through an LP-based integrated curriculum for middle schools
Joshua Archer, Rory Eckel, Joshua Hawkins, Jianlan Wang, Darrel Musslewhite, and Yuanlin Zhang
Shared Tasks as Tutorials: A Methodical Approach
Theresa Elstner, Frank Loebe, Yamen Ajjour, Christopher Akiki, Alexander Bondarenko, Maik Fröbe, Lukas Gienapp, Nikolay Kolyada, Janis Mohr, Stephan Sandfuchs, Matti Wiegmann, Jörg Frochte, Nicola Ferro, Sven Hofmann, Benno Stein, Matthias Hagen, and Martin Potthast
Exploring Social Biases of Large Language Models in a College Artificial Intelligence Course
Skylar Kolisko and Carolyn Anderson

10:30 - 10:45: Coffee Break

10:45 - 11:30: Model AI Assignments II
Chair: Todd Neller

Training Artificial Neural Networks to Beat StarCraft II
James Maher, Matthew Boutell, and Justin Wilson
A 4-Module Sequence for Applied Deep Learning
Narges Norouzi
Local Search in Ackley Surface with Scaffolding
Jonathan Scott and Narges Norouzi

11:30 - 12:30: EAAI Mentored Undergraduate Research Challenge 2023: Human-Aware AI in Sound and Music
Chair: Rick Freedman

Research Challenge Introduction and Announcements
Rick Freedman
Emotion-Aware Music Recommendation
Hieu Tran, Tuan Le, Anh Do, Tram Vu, Steven Bogaerts, and Brian Howard
Music-to-Facial Expressions: Emotion-Based Music Visualization for the Hearing Impaired
Yubo Wang, Fengzhou Pan, Danni Liu, and Jiaxiong Hu
Predicting Perceived Music Emotions with Respect to Instrument Combinations
Viet Dung Nguyen, Quan H. Nguyen, and Richard G. Freedman

12:30 - 2:00: Lunch Break

2:00 - 2:45: EAAI Mentored Undergraduate Research Challenge 2023: Human-Aware AI in Sound and Music (cont.)
Chair: Rick Freedman

MoMusic: A Motion-Driven Human-AI Collaborative Music Composition and Performing System
Weizhen Bian, Yijin Song, Nianzhen Gu, Tin Yan Chan, Tsz To Lo, Tsun Sun Li, King Chak Wong, Wei Xue, and Roberto Alonso Trillo
Learning Adaptive Game Soundtrack Control
Aaron Dorsey, Todd Neller, Hien Tran, and Veysel Yilmaz
A Multi-User Virtual World With Music Recommendations And Mood-Based Virtual Effects
Charats Burch, Robert Sprowl, and Mehmet Ergezer

2:45 - 3:15: AI for Education III
Chair: Collin Lynch

CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning
Tianhao Peng, Yu Liang, Wenjun Wu, Jian Ren, Zhao Pengrui, and Yanjun Pu
A Dataset for Learning University STEM Courses at Scale and Generating Questions at a Human Level
Iddo Drori, Sarah Zhang, Zad Chin, Reece Shuttleworth, Albert Lu, Linda Chen, Bereket Birbo, Michele He, Pedro Lantigua, Sunny Tran, Gregory Hunter, Bo Feng, Newman Cheng, Roman Wang, Yann Hicke, Saisamrit Surbehera, Arvind Raghavan, Alexander Siemenn, Nikhil Singh, Jayson Lynch, Avi Shporer, Nakul Verma, Tonio Buonassisi, and Armando Solar-Lezama

3:15 - 4:15: Poster Session and Coffee Break

4:15 - 4:45: EAAI Community Meeting