Partial List of Speakers


        
 
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Art Graesser, The University of Memphis, Homepage URL.
Talk Title: Approaches to Designing AutoTutor as a Self-Improving System
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  • About Art  Graesser: 
    Dr. Art Graesser is a professor in the Department of Psychology and the Institute of Intelligent Systems at the University of Memphis and is an Honorary Research Fellow in the Department of Education at the University of Oxford. He received his Ph.D. in psychology from the University of California at San Diego. More ...
  • Abstract:
    AutoTutor is an adaptive instructional system that helps students learn by holding a conversation in natural language and helping them interact with external media (Graesser, 2016; Nye, Hu, & Graesser, 2014). The original version of AutoTutor was handcrafted by researchers and not self-improving.  More ...
Steve Ritter, Carnegie Mellon University, .
Talk Title: Using student cohort data for self-improving intelligent tutoring systems
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  • About Steve  Ritter: 
    Steven Ritter, Founder and Chief Scientist at Carnegie Learning, has been developing and evaluating educational systems for over 20 years. He earned his Ph.D. in Cognitive Psychology at Carnegie Mellon University and was instrumental in the development and evaluation of Cognitive More ...
  • Abstract:
    Most adaptive systems use some form of mastery learning. Mastery learning was a key component of Bloom’s (1984) goal of producing software that is as effective as a personal human tutor. By some measures, intelligent tutoring systems have achieved parity with personal human tutors (vanLehn, 2011).  More ...
Noboru Matsuda, North Carolina State University, .
Talk Title: Evidence-based learning engineering method towards self-improving online courseware
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  • About Noboru  Matsuda: 
    I am an associate professor of computer science and a director of the Innovative Educational Computing Laboratory at North Carolina State University. I am also an affiliate of the Center for Educational Informatics. My primary research focus is on technology innovation and integration to advance the sciences of learning. More ...
  • Abstract:
    One of the most challenging issues for online-courseware engineering is to maintain the quality of individual instructional elements contained in the courseware. To address this challenge, an evidence-based learning-engineering method for validating instructional elements on online courseware is  More ...
Dragan Gasevic, Monash University, .
Talk Title: Towards learning analytics -based assessment in adaptive instructional systems
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  • About Dragan  Gasevic: 
    Dragan Gasevic is Professor of Learning Analytics in the Faculty of Information Technology at Monash University since Feb 2018. Previously, he was a Professor and Sir Tim O'Shea Chair in Learning Analytics and Informatics in the Moray House School of Education and the School of Informatics at the University of Edinburgh from Feb 2015 to Feb 2018. More ...
  • Abstract:
    The unprecedented opportunities to collect data about learning and contexts in which learning occurs has attracted much attention in education. The use of data analytics and machine learning methods have offered much promise to address many relevant questions in education.  More ...
Gautam Biswas, Vanderbilt University, .
Talk Title: Improved Learner Modeling in Support of Self-Improving Tutoring Systems
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  • About Gautam  Biswas: 
    Gautam Biswas is a Professor of Computer Science, Computer Engineering, and Engineering Management in the EECS Department and a Senior Research Scientist at the Institute for Software Integrated Systems (ISIS) at Vanderbilt University. More ...
  • Abstract:
    Self-Improving systems typically use machine learning techniques to learn new knowledge and procedures in ways that make them better in performing the tasks they are designed for. Self-Improving methods may be applied to intelligent tutors along a number of different dimensions.  More ...
Xiangen Hu, Central China Normal University/University of Memphis, .
Talk Title: Explore a potential standard for improvable components in Adaptive Instructional Systems (AIS)
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  • About Xiangen  Hu: 
    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 More ...
  • Abstract:
    This talk presents a minimum set of requirements for the improvable components of AIS, where the components are the human Learners, the Instructional Process, instructional Environments, and the physical, digital and human resources necessary for effective and efficient AIS.  More ...
Robby Robson, Eduworks Corporation, .
Talk Title: Standards That Could Make a Difference
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  • About Robby  Robson: 
    Dr. Robson has had a diverse and successful career as a researcher, entrepreneur, and innovator in industry and academia. He has made significant contributions to mathematics, learning technology, education, and the development of interoperability standards. He is co- founder and CEO of Eduworks Corporation, More ...
  • Abstract:
    Interoperability standards and data standards have long played important roles in the development and dissemination of learning technologies, and as we consider the theme of this conference - self-improving adaptive systems - it is appropriate to ask which standards could make a difference to this potentially transformational technology.  More ...
Robert Sottilare, Soar Technology, Inc., .
Talk Title: Modeling Expert Human Tutors for Self-Improving Adaptive Instructional Systems
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  • About Robert  Sottilare: 
    Dr. Robert Sottilare is the Science Director for Intelligent Training at Soar Technology, Inc. He came to SoarTech in 2018 after completing a 35-year federal career in both Army and Navy training science and technology organizations. At the US Army Research Laboratory, he led the adaptive training science and technology program where More ...
  • Abstract:
    This talk presents a model of the expert human tutoring process in an effort to identify critical drivers and translate them into practice in self-improving adaptive instructional systems (AISs). AISs are “artificially-intelligent, computer-based systems that guide learning experiences by tailoring instruction and recommendations based on the goals, needs, and  More ...
Jie Tang, Tsinghua University,, .
Talk Title: The Little Mu that Learns!
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  • About Jie  Tang: 
    I am a Full Professor and the Associate Chair of the Department of Computer Science and Technology of Tsinghua University. I obtained my Ph.D. in DCST of Tsinghua University in 2006. My research interests include artificial intelligence, data mining, social networks, machine learning, and knowledge graph, with an emphasis on designing new algorithms for mining social and knowledge networks. More ...
  • Abstract:
    “小木”机器人是清华大学与学堂在线联合研发的一个人工智能应用，定位于个性化的“学习伴侣/书僮”，旨在帮助学习者提高学习效率和积极性，同时减轻教师和助教的负担。“小木”基于先进的人工智能和自然语言处理技术，利用学堂在线海量的优质内容资源，结合互联网上专业知识库，  More ...
Zongkui Zhou, Central China Normal University, .
Talk Title: Panelist on AIS
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  • About Zongkui  Zhou: 
    华中师范大学心理学院教授、博士生导师，青少年网络心理与行为教育部重点实验室主任。兼任中国心理学会常务理事，中国心理学会网络心理专业委员会主任，中国心理学会教学工作委员会主任。《心理科学》副主编、英文期刊《国际学校心理学》编委。研究领域为发展与教育心理学、 More ...
  • Abstract:
    Expert Panel  More ...