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

What's New (rev. Jan 5, 2024)

• The tentative Program for EAAI-24 is found here.
• The list of EAAI-24 accepted papers is available at AAAI-24. We are looking forward to an exciting program!
• Attention new and future AI educators: The New and Future AI Educator (NFAIED) program provides networking opportunities and a partial travel award to attend EAAI-24. More info below.
• We congratulate the 2024 AAAI/EAAI Patrick Henry Winston Outstanding Educator Award Winners, Michael Littman and Charles Isbell!
• For EAAI-24 registration and travel information go to AAAI-24. Student and EAAI Only registrations are available at a discounted rate.

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Important Dates

Submission 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

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 (Underline)
  Long Pham, Barry O'Sullivan, Teresa Scantamburlo and Tai Mai
• ImageSTEAM: Teacher Professional Development for Integrating Visual Computing into Middle School Lessons (Underline)
  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 (Underline)
  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 (Underline)
  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 (Underline)
  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 (Underline)
  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 (Underline)
  Hadar Mulian, Segev Shlomov, Lior Limonad, Alessia Noccaro, Silvia Buscaglione
• Towards building a Language-Independent Speech Scoring Assessment (Underline)
  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 (Underline)
  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 (Underline)
  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 (Underline)
  Elham Buxton, Elahe Javadi and Matthew Hagaman
• AI, Ethics, and Education: The Pioneering Path of Sidekick Academy (Underline)
  Elizabeth Radday and Matt Mervis
• From Consumers to Critical Users: Prompty, an AI Literacy Tool For High School Students (Underline)
  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 (Underline)
  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 (Underline)
  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 (Underline)
  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 (Underline)
  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 (Underline)
  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 (Underline)
  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 (Underline)
  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 (Underline)
  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 (Underline)
  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 (Underline)
  Sabina Elkins, Ekaterina Kochmar, Jackie Chi Kit Cheung and Iulian Vlad Serban
• Detecting AI-generated Code Assignments Using Perplexity of Large Language Models (Underline)
  Zhenyu Xu and Victor S. Sheng
• Supporting Upper Elementary Students in Learning AI Concepts with Story-Driven Game-Based Learning (Underline)
  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 (Underline)
  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 (Underline)
  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 (Underline)
  Randi Williams, Sharifa Alghowinem and Cynthia Breazeal
• Unplugged K-12 AI Learning: Exploring Representation and Reasoning with a Facial Recognition Game (Underline)
  Hansol Lim, Wookhee Min, Jessica Vandenberg, Veronica Cateté and Bradford Mott
• Constructing Dreams using Generative AI (Underline)
  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 (Underline)
  Safinah Ali, Prerna Ravi, Katherine Moore, Hal Abelson and Cynthia Breazeal
• An Effectiveness Study of Teacher-led AI Literacy Curriculum in K-12 Classrooms (Underline)
  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 (Underline)
  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 (Underline)
  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 (Underline)
  Clayton Cohn, Nicole Hutchins, Tuan Le and Gautam Biswas
• Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming (Underline)
  Zhengdong Zhang, Zihan Dong, Yang Shi, Thomas Price, Noboru Matsuda and Dongkuan Xu

4:30 - 5:00: EAAI Community Meeting

About EAAI-24

The Thirteenth Symposium on Educational Advances in Artificial Intelligence (EAAI-24) will be held along with AAAI-24.

EAAI-24 provides a venue for researchers and educators to discuss pedagogical issues and share resources related to teaching and using AI in education across a variety of curricular levels (K-12 through postgraduate training), with an emphasis on undergraduate and graduate teaching and learning. The symposium seeks contributions showing how to more effectively teach AI, as well as how themes from AI may be used to enhance education more broadly (for example, in introductory computing courses or as a means for teaching computational thinking). We encourage the sharing of innovative educational approaches that convey or leverage AI and its many subfields, including robotics, machine learning, natural language processing, computer vision, and others.

EAAI-24 is expected to include invited talks (including a talk of the recipient of the AAAI/EAAI Outstanding AI Educator Award 2021); Model AI Assignments; special tracks on AI for Education, Resources for Teaching AI in K-12, AI for Accessibility in Communication Mentored Undergraduate Research Challenge, and other exciting activities.

Call for Participation

The call for participation is now available here.

EAAI-24 has several tracks for submission:

• Main Track (link)
• Special Track: AI for Education (link)
• Special Track: Resources for Teaching AI in K-12 (link)
• Special Track: Mentored Undergraduate Research Challenge (link)
• Special Track: Model AI Assignments (link)

Details for length and style of submissions are provided in the call for participation.

All submissions should be anonymous for double-blind review.

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-24, 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.

AAAI/EAAI Outstanding Educator Award

We invite you to submit your nominations for the 2024 AAAI/EAAI Patrick Henry Winston Outstanding Educator Award: Call for Nominations. Additional information including a list of past awardees is available at http://www.aaai.org/Awards/eaai-award.php.

AAAI/ACM SIGAI New and Future AI Educator Program

EAAI-24 will continue the AAAI/ACM SIGAI New and Future AI Educator Program. Submit your application here by January 10, 2024. Additional information including this year's call for participation and a list of past awardees is available at https://eaai-conf.github.io/eaai/nfaied.html.

EAAI-24 Organizers and Contact Information

Correspondence may be sent to EAAI at eaai24@aaai.org.

EAAI-24 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/

EAAI-24 Organizers: link

Support for EAAI-24

Generous support for EAAI is made available by: