2021 AIED Workshop: Advancing AI-Powered Education through Industry-Academia Cooperation

June 14, 2021 @ 10:30 am – 7:30 pm America/New York Timezone
Virtual Meeting
Richard Tong

AIED 2021 Workshop: Advancing AI-Powered Education through Industry-Academia Cooperation

Time: June 14th, 10:30 am- 7:30pm EST

Zoom link to attend: https://us02web.zoom.us/j/85161796906


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 Schedule:

Workshop Chairs

  1. 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. 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. Avron Barr edited the seminal Handbook of Artificial Intelligence while at Stanford University and co-founded Teknowledge, an early AI startup in Silicon Valley. As a consultant, he helps people understand, explain, and market cutting-edge software. Avron is an expert on the infrastructure needed to support AI-enabled learning. He chaired the IEEE Learning Technology Standards Committee and currently serves on the IEEE Educational Activities Board. He’s had a life-long interest in how AI will change the way we teach and learn.
  4. Richard Tong is the Chief Architect and General Manager of US Operations, Squirrel AI Learning by Yixue Group. He serves as the Chair of IEEE Learning Technology Standards Committee and the Vice-Chair of IEEE Artificial Intelligence Standards Committee. Richard is an experienced technologist, executive, entrepreneur and one of the leading evangelists for global standardization effort for learning technologies and artificial intelligence. Prior to joining Squirrel Ai Learning, he was the Head of Implementation, Greater China Region for Knewton, and Director of Solution Architecture for Amplify Education. He also served as the CTO of Phoenix New Media (NYSE:FENG). He has organized conferences such as the AIAED conferences (2018, 2019, 2020), and organized workshops such as multimodal artificial intelligence for education workshops (AIMA4EDU) at IJCAI 2019, IJCAI 2020, IJCAI 2021, the ed-tech standardization and collaboration workshops at the AIED 2019 and AIED 2020. He was the workshop co-chair of AIED 2020, industry co-chair of ITS 2021 and AIED 2021 and held several track-chair positions in various AI and Ed-tech conferences.
  5. Brandt Redd 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.


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. 

IEEE Computer Society/ Artificial Intelligence Standards Committee (C/AISC) is responsible for standards that enable the governance and practice of artificial intelligence as related to computational approaches to machine learning, algorithms, and related data usage.

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 third year in a row, Squirrel AI Learning is the hosting partner and primary sponsor for this workshop at AIED.  


*If you have any questions, please feel free to reach out to richard@yixue.us



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