AIAED-4: 4th International Conference on Artificial Intelligence + Adaptive Education Shanghai Tower Shanghai, China, November 12-13, 2019 |
Conference website | http://www.aiaed.net |
Submission link | https://easychair.org/conferences/?conf=aiaed4 |
Abstract registration deadline | September 16, 2019 |
Submission deadline | September 23, 2019 |
The 4th International Conference on Artificial Intelligence + Adaptive Education (AIAED) is an international forum for academic and industry researchers to discuss important trends emerging from artificial intelligence, machine learning, data mining, natural language processing, multimodal analytics, and system architecture as applied to the field of next-generation education and how these advances can impact adaptive human learning at scale and in various contexts. This conference provides researchers and product developers an opportunity to exchange information and ideas on related research, development, and applications.
Submission Guidelines
AIAED 2019 welcomes extended abstracts on applications of AI in adaptive education as well as novel crosscutting work in related areas. Submissions will be peer-reviewed and are expected to demonstrate rigorous methodology or theoretical positions.
Abstracts should be a single page with 250 words in the main body and a single figure or table that best illustrates your theory, methodology, and/or findings.
Extended abstracts should be 1000-1500 words with the following six sections: Introduction (100-150 words), Relevant Theories of Learning (200-300 words), Enabling Technological Advances (200-300 words), Real World Applications (200-300 words), Evidence of Potential Impacts (200-300 words), and Summary (100-150 words). Extended abstracts should have a maximum of 20 references (in addition to the 1000-1500 words).
All abstracts and extended abstracts should be submitted through Easychair.
Submissions should be formatted according to the following templates:
List of Topics
Topics include but are not limited to:
- Applications of machine learning, deep learning, and/or educational data mining to education
- Applications of multimodal integrated behavioral and affective analytics to education
- Applications of natural language processing and semantic analysis to education
- Applications of image recognition and processing to education
- AI-based applications in K12 practices
- Interaction of AI and learning science/engineering
- Standards and infrastructure for the development of AI-based adaptive education, including contributions toward IEEE Adaptive Instructional System standards and IEEE federated machine learning standards
- Self-improvement in adaptive learning systems
Committee
General Chair: Tom Mitchell (Carnegie Mellon University & Squirrel AI Learning)
Advisory Board includes:
Daniela Rus (MIT)
Ken Koedinger (CMU)
Ken Forbus (Northwestern University)
Avron Barr (IEEE)
Carles Sierra (Artificial Intelligence Research Institute - IIIA CSIC)
Art Graesser (University of Memphis)
Robby Robson (Eduworks)
Janice Gobert (Rutgers University)
Hamadou Saliah-Hassane (Teluq University)
Venue
The conference will be held in Shanghai, China.
Contact
All questions about submissions should be emailed to info@aiaed.net.