IEEE Workshop on Standardization Opportunities for AI in Education
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The IEEE workshop focuses on standardization opportunities for AI in education, aiming to discuss adaptive instruction system design and implementation. Panelists will explore the benefits of standardization, such as lowering development costs and ensuring quality assurance, in various AI applications within educational contexts. The event invites participation from attendees to collaboratively discuss AI's role in enhancing educational experiences through standardized practices.
IEEE Workshop on Standardization Opportunities for AI in Education
- 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?