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AIED 2019 : The 20th International Conference on Artificial Intelligence in Education

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Conference Series : Artificial Intelligence in Education
 
Link: http://caed-lab.com/aied2019/index.html
 
When Jun 25, 2019 - Jun 29, 2019
Where Chicago, USA
Abstract Registration Due Feb 1, 2019
Submission Deadline Feb 8, 2019
 

Call For Papers

The AIED 2019 conference theme will be “Education for All in the XXI Century”. Inequity within and between countries continues to grow in the industrial age. Intelligent information technologies have been proposed to reduce this difference, but may instead increase the digital divide if applied without reflection. Education plays a central role in this problem, as it is one of the key approaches that could help to reduce this difference. However, further work is needed to understand how to provide equitable education for all, and many questions remain to be answered. What are the main barriers to providing educational opportunities to underserved teachers and learners? How can AI and advanced technologies help overcome these difficulties? How can this work be done ethically? In this conference we gather the collective intelligence of the community to think about this problem and provide innovative and creative solutions.

AIED 2019 will be the 20th edition of a longstanding series of international conferences, formerly bi-annual and now annual, known for high quality research on intelligent systems and cognitive science approaches for educational computing applications. AIED 2019 solicits empirical and theoretical papers particularly (but not exclusively) in the following lines of research and application:

1. Intelligent and Interactive Technologies in an Educational Context: Natural language processing and speech technologies; Data mining and machine learning; Knowledge representation and reasoning; Semantic web technologies; Multi-agent architectures; Tangible interfaces, wearables and augmented reality.
2. Modelling and Representation: Models of learners, including open learner models; facilitators, tasks and problem-solving processes; Models of groups and communities for learning; Modelling motivation, metacognition, and affective aspects of learning; Ontological modelling; Computational thinking and model-building; Representing and analyzing activity flow and discourse during learning.
3. Models of Teaching and Learning: Intelligent tutoring and scaffolding; Motivational diagnosis and feedback; Interactive pedagogical agents and learning companions; Agents that promote metacognition, motivation and affect; Adaptive question-answering and dialogue, Educational data mining, Learning analytics and teaching support, Learning with simulations
4. Learning Contexts and Informal Learning: Educational games and gamification; Collaborative and group learning; Social networks; Inquiry learning; Social dimensions of learning; Communities of practice; Ubiquitous learning environments; Learning through construction and making; Learning grid; Lifelong, museum, out-of-school, and workplace learning.
5. Evaluation: Studies on human learning, cognition, affect, motivation, and attitudes; Design and formative studies of AIED systems; Evaluation techniques relying on computational analyses.
6. Innovative Applications: Domain-specific learning applications (e.g. language, science, engineering, mathematics, medicine, military, industry); Scaling up and large-scale deployment of AIED systems.

ORGANIZING COMMITTEE

General Conference Chairs

Bruce McLaren. Carnegie Mellon University, USA
Rose Luckin. London Knowledge Lab, United Kingdom

Local Organizing Chair

Peter Hastings. DePaul University, USA

Program co-chairs

Seiji Isotani, University of São Paulo, Brazil
Eva Millan, University of Málaga, Spain
Amy Ogan, Carnegie Mellon University, USA

SUBMISSION CATEGORIES
Please submit all papers at https://easychair.org/conferences/?conf=aied2019
Full papers, short papers, and industry papers will be published by Springer
Lecture Notes in Computer Science (LNCS). Submissions should be in Springer format.
See https://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 for more details.

– Full papers (10 pages + references)
– Posters (4 pages + references)
– Industry Papers (up to 4 pages + references)
– Doctoral consortium (4 pages + references)
– Workshop proposals (2-4 pages)
– Tutorial proposals (2-4 pages)
– Interactive Events (2 pages)

SUBMISSION DATES
– Abstract for Full Papers: Feb, 1, 11:59pm PST
– Full Papers, Industry Papers & Posters: Feb 8, 2019, 11:59pm PST
– Workshop & Tutorial Proposals: Feb 27, 2019, 11:59pm PST
– Doctoral Consortium papers: Feb 27, 2019, 11:59pm PST
– Interactive Events: April 10, 2019, 11:59pm PST

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