The Twelfth Symposium on Educational Advances in Artificial Intelligence (EAAI-22)

Saturday – Sunday, February 26-27

External Link: https://pages.mtu.edu/~lebrown/eaai/eaai/schedule-22.html

EAAI-22 provides a venue for researchers and educators to discuss issues and share resources related to teaching AI and using AI in education. Contributions address K-12, undergraduate, and post-graduate education. The program will include the 2022 Outstanding Educator Award Lecture by the AI4K12 Team, a main track, a special track on Demos, Software Tools, and Activities for Teaching AI in K-12, a special track on the AI-assisted Game Design Mentored Undergraduate Research Challenge, a special track on Model AI Assignments, and the AAAI/ACM SIGAI New and Future AI Educator Program.

Michael Guerzhoy and Marion Neumann
EAAI-22 Cochairs

EAAI-22 content for the conference is available here.


 

EAAI-22 Accepted Papers

Full Papers

  • Towards an AI-Infused Interdisciplinary Curriculum for Middle-gradeClassrooms
    Bita Akram, Spencer Yoder, Cansu Tatar, Sankalp Boorugu, Ifeoluwa Aderemi, Shiyan Jiang
  • A Socially Relevant Focused AI Curriculum Designed for Female High School Students
    Lauren Alvarez, Isabella Gransbury, Veronica Catete, Tiffany Barnes, Akos Ledeczi, Shuchi Grover
  • College Student Retention Risk Analysis from Educational Database Using Multi-Task Multi-Modal Neural Fusion
    Mohammad Arif Ul Alam
  • Interactive Visualization of Word Embeddings for K-12 Students
    Saptarashmi Bandyopadhyay, Jason Xu, Neel Pawar, David Touretzky
  • Fast Heuristic Detection of Offensive Words in Wordwheel Puzzles
    Anand Blum, R. Mitchell Parry
  • Ludus: An Optimization Framework to Balance Auto Battler Cards
    Nathaniel Budijono, Phoebe Goldman, Jack Maloney, Joseph Mueller, Phillip Walker, Jack Ladwig, Richard Freedman
  • Predictive Student Modelling in an Online Reading Platform
    Effat Farhana, Teomara Rutherford, Collin Lynch
  • An Approach to Identifying Problematic Game Elements
    Cassandra Ford and Merrick Ohata
  • I AM A.I. Gradient Descent – an Open-Source Digital Game for Inquiry-Based CLIL Learning
    Carina Geldhauser, Andreas Daniel Matt, Christian Stussak
  • Game Design for Better Security of Combination Locks
    Jean Pierre Astudillo Guerra, Karim Ahmed, Ryan Maher, Eddie Ubri, Jeremy Blum
  • Smartphone-Based Game Development to Introduce K12 Students in Applied Artificial Intelligence
    Sara Guerreiro-Santalla, Alma Mallo Casdelo, Tamara Baamonde, Francisco Bellas
  • An Experience Report of Executive-Level AI Education in the United Arab Emirates
    David Johnson, Mohammad Alsharid, Rasheed El-Bouri, Nigel Mehdi, Farah Shamout, Alexandre Szenicer, David Toman, Saqr Binghalib
  • Authentic Integration of Ethics and AI through Sociotechnical, Problem-Based Learning
    Ari Krakowski, Eric Greenwald, Tim Hurt, Brandie Nonnecke, Matthew Cannady
  • Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees
    Yaman Kumar, Sriram Krishna, Rajiv Ratn Shah, Changyou Chen
  • Preparing High School Teachers to Integrate AI Methods into STEM Classrooms
    Irene Lee, Beatriz Perret Gentil Paris
  • Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence through the Lens of Reproducibility
    Ana Lucic, Maurits Bleeker, Sami Jullien, Samarth Bhargav, Maarten de Rijke
  • Introducing Variational Autoencoders to High School Students
    Zhuoyue Lyu, Safinah Ali, Cynthia Breazeal
  • Interpretable Knowledge Tracing: Simple and Efficient Student Modelling with Causal Relations
    Sein Minn, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu
  • The Bullets Puzzle: A Paper-and-Pencil Minesweeper
    Todd Neller, Hien Tran
  • DeepQR: Neural-Based Quality Ratings for Learnersourced Multiple-Choice Questions
    Lin Ni, Qiming Bao, Xiaoxuan Li, Qianqian Qi, Paul Denny, Jim Warren, Michael Witbrock, Jiamou Liu
  • Artificial Intelligence Approaches to Build Ticket to Ride Maps
    Iain Smith, Calin Anton
  • Paving the Way for Novices: How to Teach AI for K-12 Education in China
    Jiachen Song, Jinglei Yu, Linan Zhang, Anyao Ma, Yu Lu

Lightning Talk Papers

  • Teaching AI with the Hands-On AI Projects for the Classroom Series
    Nancye Blair Black
  • StoryQ—an Online Environment for Machine Learning of Text Classification
    William Finzer, Jie Chao, Carolyn Rose, Shiyan Jiang
  • AI Snap! Blocks for Speech Input and Output, Computer Vision, Word Embeddings, and Neural Net Creation, Training, and Use
    Ken Kahn, Ramana Prasad, Gayathri Veera

Model AI Assignments

  • Introduction to Problem-Solving with Data: A Fresh Squeeze on Data (Improving Data Literacy among Youth to Help Eradicate Data Bias in the Future)
    Roozbeh Aliabadi, Annabel Hasty, Sultan Albarakati, Haotian Fang, Harvey Yin, Joel Wilson
  • Reflecting on Bias
    Christopher Brooks
  • Movement and Visual AI
    Jazmin Collins
  • FairKalah: Fair Mancala Competition
    Todd Neller
  • When Your Neighbor Is a Zombie: Zombie KNN
    Daniel Schneider, Yim Register
  • Projecting Your Data
    Chiawei Tang, Chaolin Liu

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