EAAI-24: The 14th Symposium on Educational Advances in Artificial Intelligence invites AI educators and researchers to share and discuss advances in AI education.

EAAI website: https://eaai-conf.github.io/year/eaai-24.html

EAAI-24 takes place in Room 118

Tracks with Accepted Papers

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. 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.

A Toolbox for Modelling Engagement with Educational Videos
Karim Djemili; Yuxiang Qiu; Denis Elezi; Aaneel Shalman Srazali; María Pérez-Ortiz; Emine Yilmaz; John Shawe-Taylor; Sahan Bulathwela

Practical Sentiment Analysis for Education: The Power of Student Crowdsourcing
Robert Kasumba; Marion Neumman

Does Any AI-Based Activity Contribute to Develop AI Conception? A Case Study with Italian Fifth and Sixth Grade Classes
Matteo Baldoni; Cristina Baroglio; Monica Bucciarelli; Sara Capecchi; Elena Gandolfi; Cristina Gena; Francesco Ianì; Elisa Marengo; Roberto Micalizio; Amon Rapp; Ivan Nabil Ras

How Teachers Can Use Large Language Models and Bloom’s Taxonomy to Create Educational Quizzes
Sabina Elkins; Ekaterina Kochmar; Jackie C. K. Cheung; Iulian Serban

Detecting AI-Generated Code Assignments Using Perplexity of Large Language Models
Zhenyu Xu; Victor S. Sheng

ImageSTEAM: Teacher Professional Development for Integrating Visual Computing into Middle School Lessons
Suren Jayasuriya; Kimberlee Swisher; Joshua D. Rego; Sreenithy Chandran; John Mativo; Terri Kurz; Cerenity E. Collins; Dawn T. Robinson; Ramana Pidaparti

Supporting Upper Elementary Students in Learning AI Concepts with Story-Driven Game-Based Learning
Anisha Gupta; Seung Lee; Bradford Mott; Srijita Chakraburty; Krista Glazewski; Anne Ottenbreit-Leftwich; Adam Scribner; Cindy E. Hmelo-Silver; James Lester

Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges
Eric Eaton; Susan L. Epstein

A Framework for Approaching AI Education in Educator Preparation Programs
Nancye Blair Black; Stacy George; Amy Eguchi; J. Camille Dempsey; Elizabeth Langran; Lucretia Fraga; Stein Brunvand; Nicol Howard

Build Your Own Robot Friend: An Open-Source Learning Module for Accessible and Engaging AI Education
Zhonghao Shi; Amy O’Connell; Zongjian Li; Siqi Liu; Jennifer Ayissi; Guy Hoffman; Mohammad Soleymani; Maja J. Matarić

Co-designing AI Education Curriculum with Cross-Disciplinary High School Teachers
Benjamin Xie; Parth Sarin; Jacob Wolf; Raycelle C. C. Garcia; Victoria Delaney; Isabel Sieh; Anika Fuloria; Deepak Varuvel Dennison; Christine Bywater; Victor R. Lee

Addressing Digital and AI Skills Gaps in European Living Areas: A Comparative Analysis of Small and Large Communities
Long Pham; Barry O’Sullivan; Teresa Scantamburlo; Tai Mai

Special Track: AI for Education

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.

CyberQ: Generating Questions and Answers for Cybersecurity Education Using Knowledge Graph-Augmented LLMs
Garima Agrawal; Kuntal Pal; Yuli Deng; Huan Liu; Ying-Chih Chen

From Raw Video to Pedagogical Insights: A Unified Framework for Student Behavior Analysis
Zefang Yu; Mingye Xie; Jingsheng Gao; Ting Liu; Yuzhuo Fu

Students’ Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming
Zhengdong Zhang; Zihan Dong; Yang Shi; Thomas Price; Noboru Matsuda; Dongkuan Xu

Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments
Fahmid Morshed Fahid; Jonathan Rowe; Yeojin Kim; Shashank Srivastava; James Lester

MineObserver 2.0: A Deep Learning & In-Game Framework for Assessing Natural Language Descriptions of Minecraft Imagery
Jay Mahajan; Samuel Hum; Jack Henhapl; Diya Yunus; Matthew Gadbury; Emi Brown; Jeff Ginger; H. Chad Lane

Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy
Lin Ni; Sijie Wang; Zeyu Zhang; Xiaoxuan Li; Xianda Zheng; Jiamou Liu; Paul Denny

Towards Building a Language-Independent Speech Scoring Assessment
Shreyansh Gupta; Abhishek Unnam; Kuldeep Yadav; Varun Aggarwal

A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students’ Formative Assessment Responses in Science
Clayton Cohn; Nicole Hutchins; Tuan Le; Gautam Biswas

RetLLM-E: Retrieval-Prompt Strategy for Question-Answering on Student Discussion Forums
Chancharik Mitra; Mihran Miroyan; Rishi Jain; Vedant Kumud; Gireeja Ranade; Narges Norouzi

Automatic Short Answer Grading for Finnish with ChatGPT
Li-Hsin Chang; Filip Ginter

Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition
Hadar Mulian; Segev Shlomov; Lior Limonad; Alessia Noccaro; Silvia Buscaglione

Special Track: Resources for Teaching AI in K-12

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.

Foundations of Autonomous Vehicles: A Curriculum Model for Developing Competencies in Artificial Intelligence and the Internet of Things for Grades 7–10
Elham Buxton; Elahe Javadi; Matthew Hagaman

An Effectiveness Study of Teacher-Led AI Literacy Curriculum in K-12 Classrooms
Helen Zhang; Irene Lee; Katherine Moore

Dr. R.O. Bott Will See You Now: Exploring AI for Wellbeing with Middle School Students
Randi Williams; Sharifa Alghowinem; Cynthia Breazeal

Unplugged K-12 AI Learning: Exploring Representation and Reasoning with a Facial Recognition Game
Hansol Lim; Wookhee Min; Jessica Vandenberg; Veronica Cateté; Bradford Mott

AI, Ethics, and Education: The Pioneering Path of Sidekick Academy
Elizabeth Radday; Matt Mervis

A Picture Is Worth a Thousand Words: Co-designing Text-to-Image Generation Learning Materials for K-12 with Educators
Safinah Ali; Prerna Ravi; Katherine Moore; Hal Abelson; Cynthia Breazeal

Constructing Dreams Using Generative AI
Safinah Ali; Prerna Ravi; Randi Williams; Daniella DiPaola; Cynthia Breazeal

From Consumers to Critical Users: Prompty, an AI Literacy Tool for High School Students
Deepak Varuvel Dennison; Raycelle C. C. Garcia; Parth Sarin; Jacob Wolf; Christine Bywater; Benjamin Xie; Victor R. Lee

Special Track: Model AI Assignments

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.

Model AI Assignments 2024
Todd W. Neller; Pia Bideau; David Bierbach; Wolfgang Hönig; Nir Lipovetzky; Christian Muise; Lino Coria; Claire Wong; Stephanie Rosenthal; Yu Lu; Ming Gao; Jingjing Zhang

Special Track: Mentored Undergraduate Research Challenge: AI for Accessibility in Communication

This special track invites papers addressing the AI for Accessibility in Communication Mentored Undergraduate Research Challenge (https://www.yetanotherfreedman.com/resources/challenge_ai4aic.html). The objective of this year’s challenge is to perform and publish research on the development or application of AI that makes sharing information more approachable and inclusive. 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.

LERMO: A Novel Web Game for AI-Enhanced Sign Language Recognition
Adilson Medronha; Luís Lima; Janaína Claudio; Lucas Kupssinskü; Rodrigo C. Barros

EnColor: Improving Visual Accessibility with a Deep Encoder-Decoder Image Corrector for Color Vision Deficient Individuals
Satyam Goyal; Kavya Sasikumar; Rohan Sheth; Akash Seelam; Taeyeong Choi; Xin Liu

Model AI Assignments 2024
Todd W. Neller; Pia Bideau; David Bierbach; Wolfgang Hönig; Nir Lipovetzky; Christian Muise; Lino Coria; Claire Wong; Stephanie Rosenthal; Yu Lu; Ming Gao; Jingjing Zhang

“Allot?” is “A Lot!” Towards Developing More Generalized Speech Recognition System for Accessible Communication
Grisha Bandodkar; Shyam Agarwal; Athul Krishna Sughosh; Sahilbir Singh; Taeyeong Choi

GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting
Furong Jia; Kevin Wang; Yixiang Zheng; Defu Cao; Yan Liu

Revitalizing Bahnaric Language through Neural Machine Translation: Challenges, Strategies, and Promising Outcomes
Hoang Nhat Khang Vo; Duc Dong Le; Tran Minh Dat Phan; Tan Sang Nguyen; Quoc Nguyen Pham; Ngoc Oanh Tran; Quang Duc Nguyen; Tran Minh Hieu Vo; Tho Quan

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

EAAI-24 chairs

Marion Neumann (Washington University in St. Louis, USA)

Stephanie Rosenthal (Carnegie Mellon University, Pittsburgh, USA)