40 years of HCI International. Join us in Washington DC to celebrate


The goal of the Adaptive Instructional Systems (AIS) Conference, affiliated to the HCI International conference, is to understand the theory and enhance the state-of-practice for a set of technologies (tools and methods) called adaptive instructional systems. AISs are defined as artificially intelligent, computer-based systems that guide learning experiences by tailoring instruction and recommendations based on the goals, needs, preferences, and interests of each individual learner or team in the context of domain learning objectives. The interaction between individual learners or teams of learners with AIS technologies is a central theme of this conference. AISs observe user behaviors to assess progress toward learning objectives and then act on learners and their learning environments (e.g., problem sets or scenario-based simulations) with the goal of optimizing learning, performance, retention and transfer of learning to work environments.

The focus of this conference on instructional tailoring of learning experiences highlights the importance of accurately modeling learners to accelerate their learning, boost the effectiveness of AIS-based experiences, and to precisely reflect their long term competence in a variety of domains of instruction. Conference participants examine modeling, interaction design and standards to facilitate research and development of effective and efficient learning using AISs.

AIS Conference participants support the adoption and advancement of products that use artificial intelligence and advanced technologies to help people learn. Stakeholders include AIS product and service providers, instructional designers, instructors, trainers, learning and development organizations, teachers and school districts, learning engineers and scientists, researchers, foundations, and government agencies.

Authors share their expertise in machine-based instruction including aspects of adaptation, augmentation, and interaction design. They share their visions and findings about AIS technologies (e.g. intelligent tutoring systems, intelligent mentors, and personal assistants for learning) and propose standards to improve the portability, extensibility, and interoperability of AIS technologies with each other and other instructional technologies. AIS Conference participants seek to identify standards for authoring, delivery, interaction design, real-time management, and evaluation of AIS technologies supporting domain classifications: cognitive, affective, psychomotor, and group instruction.

The AIS Conference has been largely supported by members of the AIS Community of Practice, a business alliance with the mission to promote the development and adoption of effective AIS solutions. If you are an AIS provider, user, researcher, or developer, we encourage you to engage with HCII AIS conference participants to learn more about the AIS Community of Practice and its mission by visiting the AIS Community of Practice Twitter page at #AISCoP_Learn or by contacting Bob Sottilare at bob.sottilare@soartech.com

Call for participation leaflet (115KB)

Submit your Paper Proposal

(Please create an account to the Conference Management System before you proceed with the submission)

The related topics include, but are not limited to:

  • Instructional Theories Applied to Adaptive Instruction
  • Adaptive Systems for Learning, Education, and Training
  • Adaptive Tools and Methods for Individual Learners and Teams
  • Designing Intelligent Tutoring System (ITS) User Interfaces (UIs) for Personalization
  • Assessment of Learner and Team States for Adaptive Instructional Decisions
  • Quantitative and Qualitative Measures of Learners during Adaptive Instruction
  • Sensors and Data Sources for Assessment during Adaptive Instruction
  • Modeling Learner States, Patterns, and Trends
  • Theoretical Frameworks for Adaptive Instruction
  • Learning Engineering
  • User-Centered Design Principles for Intelligent Tutoring Systems (ITSs)
  • Optimizing Learning through Superior User Experiences (UXs)
  • Role of Artificial Intelligence in Adaptive Instruction
  • Authoring Adaptive Instructional Systems (AISs) for Cognitive, Affective, Psychomotor, and Collaborative Tasks
  • Interaction Design for Effective Adaptive Instructional Systems
  • Conceptual Models and Interoperability Standards for Adaptive Instructional Systems
  • Augmentation Technologies (Tools and Methods) for Adaptive Instruction
  • AIS User Interfaces (UIs) for Enhanced Usability, Learnability, Satisfaction, and Accessibility
  • Evaluating the Effectiveness of Adaptive Instructional Systems
  • Ethical Use of Artificial Intelligence in Adaptive Learning Experiences
  • Interoperability and Compatibility of AIS Technologies
  • Adaptive Training & Education for:
    • Psychomotor Tasks in Live, Virtual, Augmented, and Mixed Reality Environments
    • Medical Diagnoses and Intervention
    • STEM (Science, Technology, Engineering, and Mathematics) Education
    • Professional Development
  • Program Chair

    Robert Sottilare

    Soar Technology, Inc., USA

  • Program Chair

    Jessica Schwarz

    Fraunhofer FKIE, Germany

  • Board Members

  • Roger Azevedo
    University of Central Florida, United States
  • Benjamin Bell
    Eduworks Corporation, United States
  • Elizabeth Biddle
    The Boeing Company, United States
  • Bruno Emond
    National Research Council Canada, Canada
  • Jim Goodell
    QiP / IEEE LTSC, United States
  • Alexander Streicher
    Fraunhofer IOSB, Germany
  • Wendi Van Buskirk
    US Naval Air Warfare – Training Systems Division, United States
  • Joost Van Oijen
    Royal Netherlands Aerospace Centre, Netherlands
  • Elizabeth Whitaker
    Georgia Tech Research Institute, United States
  • Thomas Witte
    Fraunhofer FKIE, Germany
  • Ryan Wohleber
    Soar Technology, United States

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The HCI International Conference respects the decisions of all its contributors, engaged in any way, regarding their institutional affiliations and designations of territories, in all material / content published in its website, taking a neutral stance in relation to any disputes or claims. Moreover, the HCI International Conference fully concurs with the Territorial Neutrality Policy of Springer Nature, Publisher of its proceedings.