Special Issue in the International Journal of AIED on "Landmark Learning Systems and New Ideas and Developments in Mathematics and Science Learning"

Special Issue Associate Editors
Bruce M. McLaren bmclaren@cs.cmu.edu Carnegie Mellon University, USA and CeLTech, Saarland University, Germany
Sergey Sosnovsky sergey.sosnovsky@celtech.de CeLTech, Saarland University, Germany

Motivation & Scope
At this stage of AI and Education research and development, there have been many successful intelligent and adaptive learning systems developed in the domains of mathematics and science. Math and science domains are unique and important to education for a number of reasons. They are formal and well defined and thus typically allow for greater flexibility in knowledge representation and adaptation approaches. Many countries, including the U.K., Germany, the U.S., Australia and New Zealand, are very concerned about their young population's standing in mathematics and science versus other nations on international standardized tests such as TIMMS. Finally, math and science are core prerequisites for careers in science, engineering and technology, which are vital as sources of intellectual capital in most industrial nations today.

At the same time, the number of qualified teachers in these fields, in many nations around the world, has been gradually decreasing. The Internet is fast rising as a key place for students to improve their math and science skills. AI and Education systems have been and are filling in this "teaching gap", especially in mathematics and science, by being adaptive, providing intelligent feedback and hints and being available on the Internet.

In this special issue we are looking for contributions from researchers and scientists who have either developed landmark AI and Education systems, those that are available on the Internet and have shown their value through multiple years of experiments and/or real-world use, or new developments and ideas in mathematics and science learning, that are supported by intelligent technology. In the case of landmark systems, we are looking for summaries of the system success, including discussion of the large numbers of students (and/or subjects) that have used the systems, technology that has been shown to be novel, engaging and effective, and teachers who have found the output and reports of the systems to be valuable. In the case of newer developments, we are looking for papers about projects and new ideas that could lead to transformative educational technology in mathematics and science. Papers submitted to this special issue should discuss both the scientific and practical import of the discussed educational technology system or new idea.

This issue will be dedicated to the memory of Erica Melis (1940-2011) who worked tirelessly for the cause of intelligent technology in support of learning in mathematics. A symposium at the EC-TEL 2011 conference in Palermo, Italy (http://telmas.celtech.de/telmas2011/) was the catalyst for this special issue.

Important Dates
Notification of Intent (Abstracts due): March 15, 2013
Submission of Complete Manuscripts: April 30, 2013
Notification of Acceptance: June 20, 2013
Submission of Camera Ready Manuscript: July 20, 2013
Publication of Special Issue: August 15, 2013