FLAIRS-33 Special Track: Intelligent Learning Technologies

Part of the 33rd International FLAIRS Conference

Please visit the FLAIRS-33 home page

Call for Papers: Intelligent Learning Technologies

Held at FLAIRS-33, May 17–20, 2020, North Miami Beach, Florida

What are Intelligent Learning Technologies?

Intelligent learning technologies (ILT) include a diverse array of computer-based systems and tools designed to foster meaningful student learning. These technologies are intelligent to the extent they implement artificial intelligence principles and techniques to create teachable structure from content, analyze and model inputs from the learner, and generate personalized and adaptive feedback and guidance. Intelligent tutoring systems (ITSs) represent a classic example. ITSs, broadly defined, possess an “outer loop” that intelligently selects the next relevant task, or content object, for learners to complete based on prior performance, and an “inner loop” that provides iterative and intelligent feedback as learners work toward completing their tasks. However, intelligent learning technologies encompass more than just intelligent tutors. Increasingly, educational games, automated writing evaluation, virtual pedagogical agents, simulations, virtual worlds, open-ended problem solving, generative concept maps, AI-assisted authoring systems, learning content aggregation programs, and e-textbooks rely on some form of artificial intelligence to enrich the learning experience.

What is the GOAL of this track?

The purpose of this track is to bring together an international group of scientists to present innovative empirical research, technical innovations, and well-grounded theory related to artificial intelligence in learning technologies. This track will inform attendees about recent developments in the design, implementation, and evaluation of such systems. This track is a continuation of the 2016–2019 FLAIRS ILT track, which naturally emerged from the longstanding Intelligent Tutoring Systems special track. The aim of the Intelligent Learning Technologies track is to be more representative and inclusive of the diverse work being conducted with intelligent systems that support student learning.

What kind of studies will be of interest?

The Intelligent Learning Technologies special track welcomes original, well-written reports on empirical evaluations of learning technologies, innovative designs and implementations, and theoretical principles that advance the field. The preference for all submissions is to include both substantive references to the existing literature and empirical data. We seek submissions that address a variety of intelligent learning technology issues including, but not limited to:

1. Adaptive scaffolding in open-ended learning environments

2. Assistive technologies for learners with special needs

3. Automated writing evaluation

4. Educational data mining and learning analytics

5. Interaction-based learner modeling from novice or expert populations

6. Effective design principles for intelligent learning technologies

7. Game-based, narrative-based, and virtual learning environments

8. Intelligent tutoring systems

9. Natural language processing to support intelligent interaction and feedback

10. Novel designs, interfaces, and scaffolds

11. Overcoming challenges within the field (e.g., gaming the system, ill-defined domains)

12. Teachable agents, learning companions, and other pedagogical agents

13. Tests of existing intelligent learning technologies

14. Efficient sampling methods for experiments in learning environments

15. Analysis and analytics of Massive Open Online Courses (MOOC)

Important Dates

November 18, 2019—Paper submission deadline

January 15, 2020—Paper acceptance notification

February 24, 2020—Camera ready version due

May 19–22, 2020—Conference

Track Co-Chairs:

Andrew J. Hampton, University of Memphis, andrew.hampton@memphis.edu

Alan Carlin, Aptima, Inc., acarlin@aptima.com

Conference Proceedings

Papers will be refereed and all accepted papers will appear in the conference proceedings, which will be published by AAAI Press. In cooperation with the Association for the Advancement of Artificial Intelligence: http://aaai.org/

Submission Guidelines

Interested authors should format their papers according to AAAI formatting guidelines. The papers should be original work. Papers should not exceed 6 pages and are due by November 18, 2019. For FLAIRS-33, the 2020 conference, the reviewing is a double-blind process. Fake author names and affiliations must be used on submitted papers to provide double-blind reviewing. Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site. Note: do not use a fake name for your EasyChair login—your EasyChair account information is hidden from reviewers. Authors should indicate the Intelligent Learning Technologies special track for submissions.

The proceedings of FLAIRS will be published by the AAAI. Authors of accepted papers will be required to sign a form transferring copyright of their contribution to AAAI. FLAIRS requires that there be at least one full author registration per paper.

Submit through EasyChair.