EAAI-18 Program Schedule

last updated: Jan 15, 2018

Saturday, February 3, 2018

9:00-9:10am - Welcome to EAAI-18
Eric Eaton and Michael Wollowski (EAAI co-chairs)

9:10-10:00am - Invited Talk
Jill Watson, Family, and Friends: Experiments in Building Automated Teaching Assistants
Ashok Goel (Georgia Tech)

Ashok Goel is a Professor of Computer Science in the School of Interactive Computing at Georgia Institute of Technology in Atlanta, USA. He is also the Director of Georgia Tech’s Ph.D. Program in Human-Centered Computing. For more than thirty years, Ashok has conducted research into artificial intelligence, cognitive science and human-centered computing, with a focus on computational design, modeling and creativity. He is the Editor- in-Chief of AAAI’s AI Magazine and an Associate Editor of DRS' Design Science Journal. IEEE’s Ashok serves on Georgia Tech’s Commission on Next in Education, and co-leads its task forces on Future of Pedagogy and Future Learning Systems. As part of Georgia Tech’s Online MS in CS program, he developed an early, popular, online graduate-level course in artificial intelligence, and as part of this class, he pioneered the development of Jill Watson, a virtual teaching assistant for answering questions in online discussion forums (https://www.youtube.com/watch?v=WbCguICyfTA). Chronicle of Higher Education recently included virtual assistants exemplified by Jill Watson in its list of transformative educational technologies over the last fifty years.

10:00-10:20am - Main Track
Educational Competition Platform for Data Analysis: Lessons Learned and Future Challenges
Yukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama and Hisashi Kashima

10:20-10:30am - Announcements
EAAI-19 Birds of a Feather Undergraduate Research
Todd Neller

10:30-11:00am - Coffee Break

11:00am-12:00pm - Thematic Area: Teaching Neural Networks
Chair: Michael Wollowski

• (Model AI Assignment, 15 min) Understanding How Recurrent Neural Networks Model Text
  Michael Guerzhoy and Renjie Liao
• (Model AI Assignment, 15 min) Neural Networks for Face Recognition with Tensor Flow
  Michael Guerzhoy
• (Lightning Talk, 5 min) Introducing Machine Learning Concepts by Training a Neural Network to Recognize Hand Gestures
  Alessandro Giusti, David Huber and Luca Gambardella
• (Lightning Talk, 5 min) Mighty Thymio for Higher-Level Robotics Education
  Jerome Guzzi, Alessandro Giusti, Gianni Di Caro and Luca Maria Gambardella
• (Break-out session, 20 min) Developing Neural Networks materials.
  The purpose of the break-out session is for participants to form groups interested in developing or refining existing NN assignments. Group members will introduce each other, define outcomes and develop a project plan.

12:00-1:30pm - Lunch Break

1:30-2:30pm - Special Track: Model AI Assignments
Chair: Todd Neller

• (15 min) Solve a Maze via Search
  Nate Derbinsky
• (15 min) Biductive Computing: Several Variants of a Universal Paradigm
  Joshua Eckroth
• (15 min) Go for a Walk! Pedestrian-Friendly A with Learned Cost Functions
  Zack Butler*
• (15 min) Robot Juggling
  Ariel Anders

2:30-3:30pm - Special Track: AI for Education I
Chair: Claudia Schulz

• (20 min) Diagnosing University Student Subject Proficiency and Predicting Degree Completion in Vector Space
  Yuetian Luo and Zach Pardos
• (20 min) Predictive Modeling of Learning Continuation in Preschool Education Using Temporal Patterns of Development Tests
  Junpei Naito, Yukino Baba, Hisashi Kashima, Takenori Takaki and Takuya Funo
• (20 min) Gesturing and Embodiment in Teaching: Investigating the Nonverbal Behavior of Teachers in a Virtual Rehearsal Environment
  Roghayeh Barmaki and Charles Hughes

3:30-4:00pm - Coffee Break

4:00-4:30pm - Special Track: Best Practices Chair: Tom Williams

• (20 min) On the Importance of a Research Data Archive
  Benedict Wright, Oliver Brunner and Bernhard Nebel
• (10 min) Break-out session

4:30-4:50pm - Lightning Talks and Announcements

• (Lightning Talk, 5 min) A Driving License for Intelligent Systems
  Martin Kandlhofer and Gerald Steinbauer
• (Lightning Talk, 5 min) Introducing AI to Undergraduate Students via Computer Vision Projects
  Kaiman Zeng, Yancheng Li, Yida Xu, Di Wu and Nansong Wu
• (10 min) Proposal for an Undergraduate Consortium at AAAI
  Nate Derbinski and James Boerkoel

4:50-5:00pm - Brief Break

5:00-5:30pm - New and Future AI Educator Briefs

Sunday, February 4, 2018

9:00-9:50am - AAAI Opening Talk

10:00-11:00am - Thematic Area: Teaching Ethics
Chair: Michael Wollowski

• (20 min) Introducing Ethical Thinking about Autonomous Vehicles into an AI Course
  Heidi Furey and Fred Martin
• (Model AI Assignment, 15 min) A Module on Ethical Thinking about Autonomous Vehicles in an AI Course
  Heidi Furey and Fred Martin
• (Lightning Talk, 5 min) Addressing the Technical, Philosophical, and Ethical Issues of Artificial Intelligence through Active Learning Class Assignments
  Pamela Fink
• (20 min) Break-out session: Developing Ethics Materials.
  The purpose of the break-out session is for participants to form groups interested in developing or refining existing ethics materials. Group members will introduce each other, define outcomes and develop a project plan.

11:00-11:30am - Coffee Break

11:30-12:30pm - Special Track: AI for Education II
Chair: Eric Eaton

• (20 min) An e-Learning Recommender System that Helps Learners Find the Right Materials
  Blessing Mbipom, Susan Craw and Stewart Massie
• (20 min) Dropout Model Evaluation in MOOCs
  Josh Gardner and Christopher Brooks
• (20 min) Investigating Active Learning for Concept Prerequisite Learning
  Chen Liang, Jianbo Ye, Shuting Wang, Bart Pursel and C. Lee Giles

12:30-2:00pm - Lunch Break

2:00-2:50pm - EAAI-18 Outstanding Educator Talk and Presentation of Award
Todd Neller (Gettysburg College)

2:50-3:30pm - Panel Discussion: Next Big Steps in AI for Education
Panelists include: Ashok Goel (Georgia Tech), Diane Litman (University of Pittsburgh), Todd Neller (Gettysburg College)

Moderator: Claudia Schulz (TU Darmstadt)

The purpose of this panel is to look ahead and identify areas and topics in which AI might play a role in Education.

3:30-4:00pm - Coffee Break

4:00-4:30pm - Panel Discussion: Non-traditional Research Experiences for Undergraduates
Panelists incude: Sven Koenig (USC), Nate Derbinsky (Northeastern University)

Moderator: Joshua Eckroth (Stetson University)

We will open a discussion about opportunities for students outside of traditional NSF-funded REU experiences, for example, research-focused courses or senior projects, internships, competitions such as Kaggle, and other informal research experiences. We hope to uncover new ideas about how students may discover and engage in these activities, often under the mentorship of faculty, and ultimately produce publications, presentations, or other artifacts.

4:30-5:30pm - K-12 Outreach

• (20 min) Introduction
  Sheila Tejada and David Touretzky
• (40 min) Demos of Cozmo robot projects.
  Participants in this undergraduate student workshop will learn how to program the Cozmo robot and create a demo, game, or other interactive activity that illustrates how artificial intelligence enables autonomous robots. They will test their creations with K-12 students at an outreach event at the Louisiana Children’s Museum and give demonstrations during the conference to AAAI and EAAI attendees.