EAAI-24: The 14th Symposium on Educational Advances in Artificial Intelligence

Vancouver, Canada   Collocated with AAAI-24
Feb. 24-25, 2024

Sponsored by the Association for the Advancement of Artificial Intelligence

EAAI-24

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Dates

• Abstract deadline: August 31, 2023 at 11:59 PM UTC-12 (anywhere on earth)
• Paper deadline: September 10, 2023 at 11:59 PM UTC-12 (anywhere on earth)
• Notification date: December 9, 2023
• Camera-reday deadline: December 19, 2023
• Symposium dates: February 24-25, 2024 (co-located with AAAI-24)

EAAI-24 Program Schedule

The EAAI-24 publications in the Proceedings of the AAAI-24 Conference on Artificial Intelligence can be found here

Saturday, February 24, 2024

All times are Pacific Time Zone. All EAAI sessions are located in Room 118 unless otherwise posted below.

8:30 - 8:45: Welcome
Marion Neumann and Stephanie Rosenthal

8:45 - 9:45: Main Track I
Curriculum and Professional Development and Design
Chair: Narges Norouzi

• Addressing Digital and AI Skills Gaps in European Living Areas: A Comparative Analysis of Small and Large Communities (PDF)
  Long Pham, Barry O'Sullivan, Teresa Scantamburlo and Tai Mai
• ImageSTEAM: Teacher Professional Development for Integrating Visual Computing into Middle School Lessons (PDF)
  Suren Jayasuriya, Kimberlee Swisher, Joshua Rego, Sreenithy Chandran, John Mativo, Terri Kurz, Cerenity Collins, Dawn Robinson and Ramana Pidaparti
• A Framework for Approaching AI Education in Educator Preparation Programs (PDF)
  Nancye Blair Black, Stacy George, Amy Eguchi, J. Camille Dempsey, Elizabeth Langran, Stein Brunvand, Lucretia Fraga and Nicol Howard
• Co-designing AI Education Curriculum with Cross-Disciplinary High School Teachers (PDF)
  Benjamin Xie, Parth Sarin, Jacob Wolf, Raycelle C C Garcia, Victoria Delaney, Isabel Sieh, Anika Fuloria, Deepak Varuvel Dennison, Christine Bywater and Victor R. Lee
• Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges (PDF)
  Eric Eaton and Susan Epstein

9:45 - 10:20: AI for Education I
Behavior Analysis
Chairs: Collin Lynch and Effat Farhana

• From Raw Video to Pedagogical Insights: A Unified Framework for Student Behavior Analysis (PDF)
  Zefang Yu, Mingye Xie, Jingsheng Gao, Ting Liu and Yuzhuo Fu
• Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition (PDF)
  Hadar Mulian, Segev Shlomov, Lior Limonad, Alessia Noccaro, Silvia Buscaglione
• Towards building a Language-Independent Speech Scoring Assessment (PDF)
  Shreyansh Gupta, Abhishek Unnam, Kuldeep Yadav and Varun Aggarwal

10:20 - 10:45: Mentored Undergraduate Research Challenge I
Chair: Rick Freedman

• GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting (PDF)
  Furong Jia, Kevin Wang, Yixiang Zheng, Defu Cao and Yan Liu
• EnColor: Improving Visual Accessibility with a Deep Encoder-Decoder Image Corrector For Color Vision Deficient Individuals (PDF)
  Satyam Goyal, Kavya Sasikumar, Rohan Sheth, Akash Seelam, Taeyeong Choi and Xin Liu

10:45 - 11:15: Coffee Break

11:15 - 11:55: Resources for Teaching AI in K-12 I
High School Resources
Chairs: Christina Gardner-McCune and Dave Touretzky

• Foundations of Autonomous Vehicles: A Curriculum Model for Developing Competencies in Artificial Intelligence and the Internet of Things for Grades 7-10 (PDF)
  Elham Buxton, Elahe Javadi and Matthew Hagaman
• AI, Ethics, and Education: The Pioneering Path of Sidekick Academy (PDF)
  Elizabeth Radday and Matt Mervis
• From Consumers to Critical Users: Prompty, an AI Literacy Tool For High School Students (PDF)
  Deepak Varuvel Dennison, Raycelle C C Garcia, Parth Sarin, Jacob Wolf, Christine Bywater, Benjamin Xie and Victor Lee

12:00 - 12:30: Blue Sky Ideas
Chair: Marion Neumann

• Rachel Lugo: LLMs as Catalysts for Reverse Engineering Learning, A Case for Inquiry in K-12 Education
• Justin Stevens: Using Analogies to Make Teaching AI More Accessible
• Shira Wein: Teaching NLP and Considering the Use of LLMs in CS Coursework
• William Agnew: Co-Creating Knowledge about LLM Uses and Limitations

12:30 - 2:00: Lunch Break

2:00 - 3:15: AAAI/EAAI Patrick Henry Winston Outstanding Educator Award
Michael Littman and Charles Isbell: AI Education in the Age of AI

3:15 - 3:45: Coffee Break

3:45 - 4:10: Main Track II
Student Assessment
Chairs: Narges Norouzi

• A Toolbox for Modelling Engagement with Educational Videos (PDF)
  Karim Djemili, Yuxiang Qiu, Denis Elezi, Aaneel Shalman, María Pérez Ortiz, Emine Yilmaz, John Shawe-Taylor and Sahan Bulathwela
• Practical Sentiment Analysis for Education: The Power of Student Crowdsourcing (PDF)
  Robert Kasumba and Marion Neumann

4:10 - 4:45: Mentored Undergraduate Research Challenge II
Chair: Rick Freedman

• Revitalizing Bahnaric Language through Neural Machine Translation: Challenges, Strategies, and Promising Outcomes (PDF)
  Khang Võ Hoàng Nhật, Đồng Lê, Tran Minh Dat Phan, Tan Sang Nguyen, Quoc Nguyen Pham, Ngoc Oanh Tran, Quang Đức Nguyễn, Tran Minh Hieu Vo and Thanh Tho Quan
• LERMO: A Novel Web Game for AI-Enhanced Sign Language Recognition (PDF)
  Adilson Medronha, Luís Lima, Janaína Claudio, Lucas Kupssinskü and Rodrigo Barros
• “Allot?” is “A Lot!” Towards Developing More Generalized Speech Recognition System for Accessible Communication (PDF)
  Grisha Bandodkar, Shyam Agarwal, Athul Krishna Sughosh, Sahilbir Singh and Taeyong Choi

4:45 - 5:30: AI for Education II
Supporting Teachers
Chair: Collin Lynch and Effat Farhana

• RetLLM-E: Retrieval-Prompt Strategy for Question-Answering on Student Discussion Forums (PDF)
  Chancharik Mitra, Mihran Miroyan, Rishi Jain, Vedant Kumud, Gireeja Ranade and Narges Norouzi
• CyberQ: Generating Questions and Answers for Cybersecurity Education using Knowledge Graph-Augmented LLMs (PDF)
  Garima Agrawal, Kuntal Pal, Yuli Deng, Huan Liu and Ying-Chih Chen
• MineObserver 2.0: A Deep Learning & In-Game Framework for Assessing Natural Language Descriptions of Minecraft Imagery (PDF)
  Jay Mahajan, Samuel Hum, Jack Henhapl, Diya Yunus, Matthew Gadbury, Emi Brown, Jeff Ginger and H. Chad Lane
• Automatic Short Answer Grading for Finnish with ChatGPT (PDF)
  Li-Hsin Chang and Filip Ginter

Sunday, February 25, 2024

8:30 - 8:40: Announcements
Marion Neumann and Stephanie Rosenthal

8:40 - 9:40: Main Track III
Tools for Teachers and Activities for Students
Chair: Fred Martin

• How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes (PDF)
  Sabina Elkins, Ekaterina Kochmar, Jackie Chi Kit Cheung and Iulian Vlad Serban
• Detecting AI-generated Code Assignments Using Perplexity of Large Language Models (PDF)
  Zhenyu Xu and Victor S. Sheng
• Supporting Upper Elementary Students in Learning AI Concepts with Story-Driven Game-Based Learning (PDF)
  Anisha Gupta, Seung Lee, Bradford Mott, Srijita Chakraburty, Krista Glazewski, Anne Ottenbreit-Leftwich, Adam Scribner, Cindy Hmelo-Silver and James Lester
• Build Your Own Robot Friend: An Open-Source Learning Module for Accessible and Engaging AI Education (PDF)
  Zhonghao Shi, Allison O'Connell, Zongjian Li, Siqi Liu, Jennifer Ayissi, Guy Hoffman, Mohammad Soleymani and Maja Mataric
• Does Any AI-based Activity Contribute to Develop AI Conception? A Case Study with Italian Fifth and Sixth Grade Classes (PDF)
  Matteo Baldoni, Cristina Baroglio, Monica Bucciarelli, Sara Capecchi, Elena Gandolfi, Cristina Gena, Francesco Ianì, Elisa Marengo, Roberto Micalizio, Amon Rapp and Ivan Nabil Ras

9:45 - 10:45: Model AI Assignments
Chair: Todd Neller. MAIA Repository: (http://modelai.gettysburg.edu)

• Collective Intelligence from a Synthetic and Biological Perspective
  Pia Bideau, David Bierbach and Wolfgang Hönig
• PDDL Assignment
  Nir Lipovetzky and Christian Muise
• Teaching Word Embedding in Natural Language Processing using SNAP！
  Yu Lu, Ming Gao and Jingjing Zhang
• Using Computer Vision Techniques to Count LEGO Pieces )
  Lino Coria
• An Animal Card Set for Teaching Classification (Unplugged)
  Claire M. Wong and Stephanie Rosenthal

10:45 - 11:15: Coffee Break

11:15 - 12:30: Birds of a Feather

1. Room 118: Preparing Model AI Assignment Resources in Support of CS2023: ACM/IEEE-CS/AAAI Computer Science Curricula (Todd Neller)
2. Room 119: AI Literacy and CS in the Age of AI: Guidance for Primary and Secondary Education (Charlotte Dungan)
3. Room 120: Changing Pedagogy in the Age of Generative AI (Chris Brooks)

12:30 - 2:00: Lunch Break

2:00 - 3:15: Resources for Teaching AI in K-12 II
Applied AI in the Classroom
Chairs: Christina Gardner-McCune and Dave Touretzky

• Dr. R.O. Bott Will See You Now: Exploring AI for Wellbeing with Middle School Students (PDF)
  Randi Williams, Sharifa Alghowinem and Cynthia Breazeal
• Unplugged K-12 AI Learning: Exploring Representation and Reasoning with a Facial Recognition Game (PDF)
  Hansol Lim, Wookhee Min, Jessica Vandenberg, Veronica Cateté and Bradford Mott
• Constructing Dreams using Generative AI (PDF)
  Safinah Ali, Prerna Ravi, Randi Williams, Daniella DiPaola and Cynthia Breazeal
• A Picture is Worth a Thousand Words: Co-designing Text-to-image Generation Learning Materials for K-12 with Educators (PDF)
  Safinah Ali, Prerna Ravi, Katherine Moore, Hal Abelson and Cynthia Breazeal
• An Effectiveness Study of Teacher-led AI Literacy Curriculum in K-12 Classrooms (PDF)
  Helen Zhang, Irene Lee and Katherine Moore

3:15 - 3:45: Coffee Break

3:45 - 4:30: AI for Education III
Q&A and Text
Chairs: Collin Lynch and Effat Farhana

• Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy (PDF)
  Lin Ni, Sijie Wang, Zeyu Zhang, Xiaoxuan Li, Xianda Zheng, Jiamou Liu and Paul Denny
• Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments (PDF)
  Fahmid Morshed Fahid, Jonathan Rowe, Yeojin Kim, Shashank Srivastava and James Lester
• A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students' Formative Assessment Responses in Science (PDF)
  Clayton Cohn, Nicole Hutchins, Tuan Le and Gautam Biswas
• Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming (PDF)
  Zhengdong Zhang, Zihan Dong, Yang Shi, Thomas Price, Noboru Matsuda and Dongkuan Xu

4:30 - 5:00: EAAI Community Meeting

Submission

Main Track

The main track invites a broad range of papers on teaching AI and teaching with AI. Submissions may be framed as research papers or as experience reports. Potential topics include:

• The design of an AI curriculum, course, or module.
• The development or use of a tool or resource to teach AI.
• The impact of a pedagogical or mentoring technique on AI students.

Special Track: AI for Education

Chair: Collin F. Lynch (North Carolina State University)

Educational domains provide unique task areas and challenges for AI, and they provide unique opportunities for positive impacts. This special track invites research on advances in AI applied to educational tasks and domains including novel student models, intelligent learning environments, automated assistants, and instructional support.

Submissions should be framed as research publications consistent with the general call.

Special Track: Resources for Teaching AI in K-12

Chairs: Dave Touretzky (Carnegie Mellon) and Christina Gardner-McCune (University of Florida)

This special track invites papers on the development and use of resources to support K-12 AI education. Examples include online demos, software tools, and structured activities. Submissions should follow the standard EAAI format for an academic paper and include the following: description of the resource; target age group; setup and resources needed; AI concepts addressed; expected learning outcomes; and (if possible) implementation results. Online demos and software tools should be accompanied by brief video walk-throughs.

Special Track: EAAI Mentored Undergraduate Research Challenge 2023: Human-Aware AI in Sound and Music

Chair: Rick Freedman (SIFT)

This special track invites papers addressing the Mentored Undergraduate Research Challenge topic of the year. The objective of this year's challenge is to perform and publish research on human-aware AI in the application of sound and music. The broader purpose of EAAI mentored undergraduate research challenges is to encourage undergraduate students to experience the full life-cycle of AI research through the guidance of a mentor familiar with the research life-cycle.

Submissions should be framed as research papers, with at least one undergraduate (including community college) student author and at least one mentor (faculty or Ph.D.-holding) author.

Special Track: Model AI Assignments Session

Chair: Todd Neller (Gettysburg College)

This special track invites assignments for AI classes. Good assignments take a lot of work to design. If an assignment you have developed may be useful to other AI educators, this track provides an opportunity to share it. Model AI Assignments are kept in a public online archive.

This track has special submission instructions (http://modelai.gettysburg.edu).

Review Criteria

Submissions will be reviewed for:

• Relevance to the track
• Significance to the intended audience
• Engagement with prior work
• Novelty of contributions
• Technical soundness
• Clarity of presentation
• Evaluation of claims/results (as applicable)
• Engagement with questions of ethics/inclusivity (as applicable)

Submission Instructions

All submissions must be anonymous for double-blind review.

Except for Model AI Assignments, which have their own format, papers should be:

• Up to 7 pages long, plus up to 2 pages of references
• Per AAAI-24 style guidelines (https://aaai.org/Conferences/AAAI-23)
• Submitted via EasyChair

EAAI-24 will not consider any paper that, at the time of submission, is under review for or has already been published or accepted for publication in a refereed journal or conference. Once submitted to EAAI-23, papers may not be submitted to another refereed journal or conference during the review period. These restrictions do not apply to unrefereed forums or workshops without archival proceedings.

EAAI-24 Organizers

Program co-Chairs

• Marion Neumann Washington University in St. Louis
  https://sites.wustl.edu/neumann/

• Stephanie Rosenthal Carnegie Mellon University
  https://www.cs.cmu.edu/~srosenth/

Organizing Committee

• Michael Guerzhoy, University of Toronto (guerzhoy@cs.toronto.edu)
• Nate Derbinsky, Northeastern University (n.derbinsky@northeastern.edu)
• Laura Brown, Michigan Technological University (lebrown@mtu.edu)
• Susan Imberman, CUNY College of Staten Island (susan.imberman@csi.cuny.edu)
• Todd Neller, Gettysburg College (tneller@gettysburg.edu)
• Lisa Torrey, St. Lawrence University (ltorrey@stlawu.edu)

Main Track Chairs

• Fred Martin, University of Texas at San Antonio (fred.martin@utsa.edu)
• Narges Norouzi, University of California Berkeley (norouzi@berkeley.edu)
• Stephanie Rosenthal, Carnegie Mellon University

AI for Education Track Chairs

• Collin F. Lynch, North Carolina State University
• Effat Fanhana, Vanderbilt University

K12 Track Chairs

• Christina Gardner-McCune, University of Florida (gmccune@ufl.edu)
• Dave Touretzky, Carnegie Mellon University (dst@cs.cmu.edu)

Mentored Undergraduate Research Challenge Chairs

• Rick Freedman, Smart Information Flow Technologies [SIFT] (rfreedman@sift.net)

Model AI Assignments Chairs

• Todd Neller, Gettysburg College (tneller@gettysburg.edu)

Program Committee

Main Track

• Michael Guerzhoy, University of Toronto
• Rajagopal Venkatesaramani, Washington University in St. Louis
• Ansaf Salleb-Aouissi, Columbia University
• Uzay Macar, Columbia University
• Arpit Sood, Meta Inc
• Saniya Vahedian Movahed, UT San Antonio
• Maria Gini, University of Minnesota
• Ameet Soni, Swarthmore College
• Jason L. Weber, University of California, Irvine
• Juan Rojas, Lipscomb University
• Leilani Gilpin, University of California, Santa Cruz
• Fredrik Heintz, Linköping University
• Ashish Aggarwal, University of Florida
• Zhen Bai, University of Rochester
• Atena M Tabakhi, Washington University in St. Louis
• Vibhu Mittal, Edmodo
• Bita Akram, North Carolina State University
• David Johnson, Uppsala University
• Matthew Forshaw, Newcastle University
• Deepak Kumar, Bryn Mawr College
• Henry Chai, Carnegie Mellon University
• Andrew Petersen, University of Toronto
• Amber Wagner, University of Alabama at Birmingham
• Chunbo Chu, Franklin University
• Xiaomeng Ye, Indiana University Bloomington
• Ulf Johansson, Jönköping University
• Rajiv Shah, IIIT Delhi
• Vincent Cicirello, Stockton University
• Lisa Torrey, St. Lawrence University
• George Thomas, University of Wisconsin Oshkosh
• Jinzhong Niu, City University of New York
• Hadi Hosseini, Pennsylvania State University
• Justin Li, Occidental College
• Haym Hirsh, Cornell University
• Michael Liut, University of Toronto Mississauga
• J.D. Zamfirescu, UC Berkeley
• Bonnie Mackellar, St John's University
• Alla Rozovskaya, Virginia Tech
• Francesco Maiorana, University of Urbino
• Ismaila Temitayo Sanusi, University of Eastern Finland
• Juho Leinonen, The University of Auckland
• Neha Singh, Washington University in St. Louis
• Barbara Martinez-Neda, University of California, Irvine
• Alice Gao, University of Toronto
• Lisa Zhang, University of Toronto
• Vinay Chaudhri, none
• Sheikh Rabiul Islam, Rutgers University-Camden
• Hyeoncheol Kim, Korea University
• Radu Mihail, Valdosta State University
• Hellas Arto, Aalto University
• Jia Tao, Lafayette College
• Ruizhe Ma, University of Massachusetts Lowell
• Zhuoyue Lyu, University of Toronto
• Yaman Kumar, Adobe; SUNY-Buffalo; IIIT-Delhi
• Esma Aïmeur, University of Montreal

Model AI Assignments

• Nate Derbinsky, Northeastern University
• Stephanie August, Consultant, Engineering Education
• Erin Talvitie, Harvey Mudd College
• Dave Kauchak, Pomona College
• Ananya Das, Middlebury College
• Jordan Johnson, The University of British Columbia
• Lisa Zhang, University of Toronto
• Jeffrey Pfaffmann, Lafayette College
• Lisa Torrey, St. Lawrence University
• Lisa Meeden, Swarthmore College
• Nathan Sprague, James Madison University
• Raja Sooriamurthi, Carnegie Mellon University
• David Poole, The University of British Columbia
• Duri Long, Georgia Institute of Technology
• Anna Rafferty, Carleton College
• Steven Bogaerts, University of Michigan
• Narges Norouzi, UC Berkeley
• Ruizhe Ma, University of Massachusetts Lowell
• Scott Alfeld, Amherst College
• Chris Brooks, University of San Francisco
• Doug Turnbull, Ithaca College
• James Marshall, Sarah Lawrence College
• Sven Koenig, University of Southern California
• Joshua Eckroth, Stetson University

Resources for Teaching AI in K-12

• Francisco Enrique Vicente Castro, New York University
• Daniel Ritchie, University of California, Irvine
• Alexis Cobo, University of Florida
• Gerald Steinbauer-Wagner, Graz University of Technology
• Erdogan Kaya, George Mason University
• Amy Eguchi, University of California San Diego
• Ning Wang, University of Southern California
• Thomas Deneux, Paris-Saclay Institute of Neurosciences (NeuroPSI), CNRS & Paris-Saclay University
• Eric Greenwald, University of California, Berkeley, Lawrence Hall of Science
• Neel Pawar, Carnegie Mellon University
• Quinn Burke, Digital Promise Global
• Zachary Dodds, Harvey Muff College
• Ken Kahn, University of Oxford
• Joanne Barrett, University of Florida
• Jill Denner, ETR Associates
• Beatriz Perret, EDC

Mentored Undergraduate Research Challenge 2023: Human-Aware AI in Sound and Music

• Michael Guerzhoy, University of Toronto
• Lucas Kupssinskü, PUCRS
• Matthew Eicholtz, Florida Southern College
• Sejong Yoon, The College of New Jersey
• Calin Anton, Grant MacEwan University
• Matthew Guzdial, University of Alberta
• Taeyeong Choi, Kennesaw State University
• Scott Alfeld, Amherst College
• Mehmet Ergezer, Wentworth Institute of Technology
• Christian Roberson, Florida Southern College
• Ashish Aggarwal, University of Florida
• Jason Wilson, F&M College
• R Mitchell Parry, Appalachian State University
• Todd Neller, Gettysburg College
• Julia Hiebel, Michigan Technological University
• Vasanth Sarathy,

AI for Education

• Dan Carpenter, North Carolina State University
• Yang Shi, North Carolina State University
• Xi Yang, IBM
• Song Ju, North Carolina State University
• Piotr Mitros, ETS / MIT
• Gabriel Silva de Oliveira, North Carolina State University
• David Joyner, Georgia Institute of Technology
• John Hostetter, North Carolina State University
• Damilola Babalola, North Carolina State University
• Adam Gaweda, North Carolina State University
• Md Mirajul Islam, North Carolina State University
• Wookhee Min, North Carolina State University
• Brayan Díaz, North Carolina State University
• Agoritsa Polyzou, Florida International University
• Toni Earle-Randell, University of Florida
• Zhikai Gao, North Carolina State University
• Shiyan Jiang, North Carolina State University at Raleigh
• Jonathan Rowe, North Carolina State University
• Yiqiao Xu, North Carolina State University
• Bita Akram, North Carolina State University
• Hamid Karimi, Utah State University
• Jack Wang, Adobe
• Yingbo Ma, University of Florida
• Andy Smith, North Carolina State University
• Shaun Kellogg, North Carolina State University
• Ryan Baker, University of Pennsylvania

Other Links

The following links are to various material on AAAI-24 and EAAI-24.

• AAAI-24 Main Conference Site
• EAAI-24 Proceedings

Support for EAAI-24

Generous support for EAAI is made available by: