2020 AIED Workshop: Empowering Education with AI Technology

When:
July 6, 2020 @ 5:30 am – 2:30 pm America/New York Timezone
2020-07-06T05:30:00-04:00
2020-07-06T14:30:00-04:00
Where:
Virtual Meeting
Contact:
Richard Tong

AIED 2020 Workshop: Empowering Education with AI Technology – IEEE LTSC

Time: 10:30 am-7:30 pm, July 6th, 2020, Morocco Time (5:30 am-2:30 pm EDT, July 6th)

Click here for the workshop book plan

 

Background: AI-enabled education tools have recently attracted attention for their potential to improve education quality and enhance traditional teaching and learning methods. These offerings 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 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 gained through thoughtfully developed standards makes it possible to reuse existing technologies and content so they can be integrated into existing educational ecosystems. This can reduce costs and accelerate advances in the field of AI in Education by enabling researchers and innovators to more easily test and evaluate new strategies and technologies through a wide variety of implementations in real-world environments generating large data sets. The standardization effort is also deeply connected with and informed by the AIED research in the corresponding areas. 

 

Relevant Topics: Topic areas will cover some aspects of the research that directly or indirectly define, inform and advance the current relevant IEEE standards for the application of AI in learning technologies, which may include (but are not limited to) the following:

 

  • AI architecture, methodology and models that improve the scalability, performance, and explainability, and that enable components to plugin and interact with AI engines used in learning technology systems, especially AI-driven adaptive instructional systems
  • Federated Machine Learning (FML) and Explainable AI (XAI)
  • Standards, practice, and methodology for accessing, collecting, storing, utilizing, sharing, and securing child and student data. Standards that provide stakeholders with certifiable and responsible child and student data governance methodologies, specific metrics, and conformance criteria.
  • Standards for evaluating and reporting the use of AI in educational systems.
  • Practices and methodologies that capture the nuanced and political nature of educational institutions while addressing the needs of the learner and educator.

 

Workshop Formats:

  • Paper Presentations: 3-5 (30 Minutes Each)
  • Invited Talks: 5-7 speaker to present their expert insights
  • Panel Discussions:  Panel discussion sessions are intended to explore various heated topics in the implementation of AI in the field of education, ongoing initiatives, and projects
  • Poster sessions: Optional for papers that could not fit into the main session – Allow breakout rooms.

 

Workshop Chairs

  1. Dr. Robby Robson is a researcher and innovator in the broad field of learning technology who has contributed to numerous standards and technologies that are widely used today. He holds a doctorate in mathematics from Stanford University, is CEO and co-founder of Eduworks Corporation, former chair of the IEEE Learning Technology Standards Committee, and currently serves on the IEEE Standards Association Board of Governors. He has served as principal investigator (PI) on projects that have applied machine learning and natural language processing to automate the analysis of educational and training content, automatically generate assessment questions, align educational resources with learning objectives, and support competency-based education and training. Over the course of his career, Robby has developed and led dozens of successful tutorials and workshops on topics related to learning, education, and training.
  2. Dr. Xiangen Hu is a professor in the Department of Psychology, Department of Electrical and Computer Engineering and Computer Science Department at The University of Memphis (UofM) and senior researcher at the Institute for Intelligent Systems (IIS) at the UofM and is professor and Dean of the School of Psychology at Central China Normal University (CCNU). Dr. Hu received his MS in applied mathematics from Huazhong University of Science and Technology, MA in social sciences and Ph.D. in Cognitive Sciences from the University of California, Irvine. Dr. Hu is the Director of the Advanced Distributed Learning (ADL) Partnership Laboratory at the UofM, and is a senior researcher in the Chinese Ministry of Education’s Key Laboratory of Adolescent Cyberpsychology and Behavior.
  3. Mr. Jim Goodell is the Senior Education Analyst at Quality Information Partners. Mr. Goodell leads standards development for the US Department of Education’s Common Education Data Standards (CEDS) and works with stakeholders from early learning, K12, postsecondary, and workforce organizations. He is Vice-Chair of the IEEE Learning Technology Standards Committee, Chair of the Competency Data Standards Workgroup, and Chair of the Adaptive Instructional Systems Interoperability Workgroup.
  4. Mr. Michael Jay is the CEO of MatchMaker Education Labs. He left the classroom in 1986 to join Apple Computer’s Classroom of Tomorrow (ACOT) research and development project, served as Apple’s Education Competitive Analyst, and led major curriculum-related marketing initiatives. Michael has gone on to use his practitioner’s sensibility to drive systemic change in how technology can be used to generate more learner-centered education and support educators as professionals. His specialties include data and content interoperability, curriculum standards, educational resource metadata design and development, and curriculum development. Michael presently serves as the Chair of the IEEE Industry Connections Industry Consortium on Learning Engineering (ICICLE) in which he provides leadership to a rich and diverse community driving to apply engineering processes to improve education for all learners, cradle to grave.
  5. Mr. Brandt Redd (brandt@redd.org) is the CTO of MatchMaker Education Labs, a new startup involved in competency definitions and facilitating directories of learning resources. He is the creator and coordinator of the EdMatrix.org directory of Learning Technology Standards. Mr. Redd was formerly CTO of the Smarter Balanced Assessment Consortium and Senior Technology Officer for Education at the Bill & Melinda Gates Foundation.

 

Program Committee Members:

  1. Richard Tong, IEEE LTSC Chair, Chief Architect and General Manager of US Operations at Squirrel AI Learning
  2. Robert Sottilare, IEEE AIS Chair, Soar Technology
  3. Shelly Blake-Plock, Technical Advisory Group (TAG) for xAPI
  4. Elliot Robson, Eduworks
  5. Tom Mitchell, CMU
  6. Lixin Fan, Explainable AI WG
  7. Yang Qiang, Federated Machine Learning WG
  8. Zitao Liu, TAL
  9. Songfan Yang, TAL
  10. Ronghuai Huang, Beijing Normal University
  11. Victor Lu, Beijing Normal University
  12. Avron Barr, IEEE Educational Activities Board
  13. Arthur Graesser, University of Memphis
  14. Bruce McLaren, Carnegie Mellon University
  15. Mark Lee, IEEE TLT
  16. Tianyi Ivy Tang, Squirrel AI Learning
  17. Zachary Pardos, UC Berkeley
  18. Alicia Sanchez, DAU
  19. Sae Schatz, ADL
  20. Keith Brawner,  U.S. Army CCDC SC
  21. David Dockterman, Harvard University
  22. Erlend Overby, ISO SC36 Chair 
  23. Marie Bienkowski, Academies of Math and Science
  24. Delmar Larson, University of California, Davis and Founder of LibreTexts
  25. Martyn Farrows, Soapbox Labs
  26. Patricia Scanlon, Soapbox Labs
  27. Yaacov Petscher, Florida State University
  28. Tanner Jackson, ETS
  29. Jordan Schoenherr, Carleton University
  30. Andrew Hampton, University of Memphis
  31. Jeanine Defalco, US Army
  32. Sam Oh, ISO
  33. Simone Ravaioli, Digitary
  34. Gregory Nadeau, PCG
  35. Jerry Gordon, ADL
  36. Trey Hayden, ADL
  37. Brent Smith, ADL
  38. Kim Hamilton, W3C
  39. Kumar Garg, Schmidt Futures
  40. Ulrich Boser, Schmidt Futures
  41. Samuel Ching, Schmidt Futures
  42. Wei Cui, Squirrel AI Learning
  43. Haiying Li, ACT

 

About the Hosts:

IEEE Learning Technology Standards Committee (LTSC) focuses on supporting the evolution of learning technologies. The LTSC supports the IEEE’s mission by developing global technical standards, recommended practices, and guides for learning technology. The IEEE LTSC actively cooperates with academic, industrial research labs and government agencies to promote and transform learning research to scalable and practical learning technologies in use. 

Squirrel AI Learning by Yixue Group is the first and market-leading K12 EdTech service company that specializes in intelligent adaptive education in China. For the second year in a row, Squirrel AI Learning is the hosting partner and primary sponsor for this workshop at AIED.  

 

 

 

 

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