In this open forum panel discussion, we will introduce and discuss the state-of-the-art in AI-based Adaptive Instruction System design, standardization, and implementation. We invite ASU-GSV attendees to collaboratively explore opportunities to standardize components and processes used in educational systems that apply AI, including adaptive learning technologies, AI-based recommendation engines, and systems that use machine learning to model student interactions and preferences to improve learning outcomes. This is motivated by IEEE Adaptive Instructional Systems standards projects.

1. IEEE Workshop
Standardization Opportunities for AI in Education
1

2. IEEE Workshop
▸Description: In this open forum panel discussion, we will introduce and discuss the state-of-the-art in AI-based
Adaptive Instruction System design, standardization, and implementation. We invite ASU-GSV attendees to
collaboratively explore opportunities to standardize components and processes used in educational systems that
apply AI, including adaptive learning technologies, AI-based recommendation engines, and systems that use
machine learning to model student interactions and preferences to improve learning outcomes. This is motivated by
IEEE Adaptive Instructional Systems standards projects.
▸Moderator: Richard Tong, Chief Architect and GM of USA Operations, Squirrel AI Learning by Yixue Education Group
▸Panelists:
- Robby Robson, IEEE Standards Association Board of Governors member and IEEE Standards Education
Committee Chair;
- Avron Barr, IEEE Learning Technology Standard Committee Chair;
- Bob Sottilare, IEEE Adaptive Instructional Systems Working Group Chair & Science Director of Intelligent
Training, Soar Technology

3. Implementation of AI
•Quantity of data
•Quality and Context
•Ease of Experiment
•AI Infrastructure
•Stack
•Scalability
•Interoperability
•Elite researchers
•AI Engineer and
product teams
•AI models and
algorithms
•Enhancement or
Disruption - AI Value
•Social, Economical
and Political
Environment
Business
Model
AI
Expertise
Data
Computing
Power

4. Impact of AI on Edu
• Change the
Tasks
• Change the
paradigm
• Offers an
effective tool to
perform
common tasks.
• Perform the
same task as
was done
before tech
Substitution Augmentation
ModificationRedefintion

5. Why you should care about standards for AIS
▸Standards lower the cost of development which leads
to lower costs for consumers and increased innovation
by producers
▸Standards provide quality assurance that is badly
needed because “AI” is a marketing term
▸Standards provide frameworks and baselines for
research and analysis
Why you should care about IEEE standards for AIS
▸Global standards development organization with over 7,000 individual and 300
corporate members and strong reputation for market relevance (e.g. 802)
▸Part of a larger IEEE community with 400,00+ professionals
▸Focused on industry adoption and market relevance
▸Low barriers to participation with strong legal and ethical protections

6. Infrastructure Supporting an Open Ecosystem
• AI & Personalization
• Cloud & Non-LMS Activity
• Credentials
• Life-Long Learning
• Dashboards & Analytics
• Competency-based Training
• Job Performance Feedback
• Mastery-based Education

7. ICICLE 2019
The first conference on Learning Engineering
Arlington, Virginia
May 20-23, 2019
www.ieeeicicle.org

8. AIAED 2019
AI+ Adaptive Education Summit
Beijing China
May 24-25, 2019
www.aiaed.net

9. AIED 2019
AI in Education
Standardization Opportunities for AI in Education
Workshop
Chicago, IL, USA
June 29, 2019
https://caed-lab.com/aied2019/

10. IJCAI 2019
AI-based Multimodal Analytics
for Understanding Human Learning
in Real-world Educational Contexts Workshop
Macao
August 12, 2019
https://www.aima4edu.com/

11. 11
Current LTSC Standards Activities
• SCORM’s 10-year renewal
• xAPI 2.0 (learning activity & learning record store)
• Augmented Reality (content portability)
• Sharable competency definitions
• Student data governance
• Federated machine learning
• Digital Literacy, Skills, and Readiness
• Security of Cyberphysical learning systems*
• Adaptive Instructional Systems

12. IEEE Project 2247 – Standards & Recommended Practices for
Adaptive Instructional Systems (AISs)
▸AISs are computer-based systems that guide learning experiences by tailoring instruction and
recommendations based on the goals, needs, and preferences of each individual learner or team in the
context of domain learning objectives… and include:
- Intelligent tutoring systems (ITSs)
- Intelligent mentors (recommender systems)
- Intelligent media
▸IEEE AIS Working Group supports the development of:
- AIS Conceptual Models
- AIS Interoperability Standards
- Recommended Practices for AIS Evaluation
▸How to get involved – sign up at: http://sites.ieee.org/sagroups-2247-1/members/

13. HCII Adaptive Instruction
Systems (AIS) Conference 2019
10 Sessions
Orlando, Florida, USA
July 29-31, 2019
http://2019.hci.international

14. Thank you for your attention!
Questions?