Connecting Research And Educational Practice
Intelligent, adaptive learning technologies that implement recent advances from AI are becoming more widespread in real-world use. However, there are still challenges in leveraging the scale, practical experience and real-world data collected in widespread educational applications to the innovative techniques used in AIED research.
We welcome submissions discussing educational technologies at different stages of development, from prototypes being tested in academia or industry to deployed applications.
For industry participants, this is an opportunity to learn about some of the most promising new developments in AIED, to present their findings, to connect with academic and industry partners and to recruit some of the most competent and creative talents in the field.
For those in the research community, this is a chance to present their solutions/results and build connections that may result in the commercialization and wide distribution of new technologies. Papers will be presented as short presentations in the track session and as posters/interactive events in the main session.
The Industry and Innovation Track is intended to support connections between industry (both for-profit and non-profit) and the research community and to share experiences about how to bridge the gap between research and innovation in the field of AI and education.
Papers will be reviewed by members of the Conference Program Committee. Criteria for selection include: appropriateness to the goals of the Industry and Innovation track, innovation, and potential impact. Submissions are expected to address the conference theme on “Mind the Gap: AIED for Equity and Inclusion.”
Form and Content
Accepted papers will be presented as short presentations in the industry and innovation track session and as posters/interactive events. We strongly recommend the authors to include a section about how and/or if they address the gap between research and practical innovation.
Please submit your paper at https://easychair.org/conferences/?conf=aied2021
Submissions must be in Springer format. Papers that do not use the required format may be rejected without review. For further details about the format, please see https://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 .
Proposals for this track should be 2-4 pages (4 pages + references).
Industry & Innovation Chairs
- Steve Ritter, Carnegie Learning
- Inge Molenaar, Radboud University