AIED-SO1: Standardization Opportunities for AI in Education Workshop at AIED AIED at Palmer House Hilton Hotel Chicago, IL, United States, June 26-29, 2019 |
Conference website | https://caed-lab.com/aied2019/ |
Submission link | https://easychair.org/conferences/?conf=aiedso1 |
Abstract registration deadline | June 10, 2019 |
Submission deadline | June 19, 2019 |
Educational tools enabled by AI have recently attracted attention for their potential to improve education quality and enhance traditional teaching and learning methods and are now being rolled out at scale in commercial and non-commercial products. Having achieved this level of maturity, standards for common interfaces, components and processes can serve as a foundation for new research and innovation while reducing the risk of adopting AI-based educational products and helping to avoid wasteful duplication of effort. Interoperability makes it possible to reuse existing technologies and content and to plug into existing educational ecosystems. This reduces costs and will accelerate advances the field of AI in Education by enabling researchers and innovators to more easily test and evaluate new approaches and technologies in real-world environments with large data sets.
The goal of the Standardization Opportunities Workshop (AIED-SO1) at the 20th AI in Education Conference is to explore opportunities to standardize concepts, components, best practices and processes used in educational systems that apply AI, including adaptive learning technologies (e.g. adaptive instructional systems), AI-based recommendation engines, and systems that use machine learning to model student interactions and preferences to improve learning outcomes.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. Papers should be limited to 5 pages. We are targeting acceptance of approximately 5-10 papers. Presentations should be limited to 15 minutes with an additional 15 minutes allocated for discussion.
List of Topics
Relevant topic areas must cover some aspects of standards for the application of AI in education, which may include (but are not limited to) the following:
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Standards for representing and exchanging models, including domain models, learner models, pedagogical models and models of teams;
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Standards for evaluating and reporting the use of AI in educational systems;
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Standards that facilitate data acquisition and curation for use in machine learning within educational ecosystems;
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Standards that enable components to be plugged in and interact with AI engines used in educational systems
Program Committee
- Robby Robson, Eduworks, Inc.
- Richard Tong, Yixue Squirrel AI Learning, Inc.
Venue
The workshop will be held at the DePaul University College Dept of Computing and Digital Media, 2nd floor (room TBD). It is a few minutes walk from the Palmer House Hotel.
Schedule
8:00 - 8:15 Intro (Robby Robson, Richard Tong)
8:15 - 8:45 Classifying the use of AI in AIED (Robby Robson)
8:45 - 9:30 Examining the case for adaptive instructional system task domain standards and recommended practices (Bob Sottilare)
9:30 - 9:45 Break
9:45 - 10:15 Explore a potential standard for improvable components in adaptive instructional systems (Xiangen Hu & Robby Robson)
10:15 - 10:45 Optimizing learning plan during the learning process (Ziang Chu)
10:45 - 11:30 Panel: Interoperability standards for Adaptive Instructional Systems (Richard Tong - moderator, Xiangen Hu, Bob Sottilare, Avron Barr, Art Graesser)
11:30 - 12:00 Discussion: What standards provide the greatest value proposition to the AIED community? (Robby Robson)
Contact
All questions about submissions should be emailed to Robby Robson <robby@computer.org> or Richard Tong <richard.tong@yixue.us>