Many successful Technology-Enhanced Learning (TEL) systems have been developed in the domains of Mathematics And Science (MAS), especially adaptive and intelligent systems. The MAS domains are unique and important to education from a number of viewpoints. They are formal and well-defined, and hence allow for greater flexibility in knowledge representation and adaptation technologies. They are core prerequisite for engineering and technological disciplines, and hence are taught to a great number of students.
At the same time, there is a great demand for math and science teaching and instructional support. In today’s high-tech society, the number of university students who must take mathematics and science courses is globally increasing, yet the number of qualified teachers in these fields is gradually decreasing. Moreover, in the last decade a steady decline in the mathematical skills of students beginning higher education has been witnessed. The number of scientists and engineers, as well as their level of education represents one of themain sources of intellectual capital in most industrial nations today. Hence, education in these engineering subjects has taken on paramount importance. This is a key reason why the European Union and European countries individually are providing increasing financial support for TEL to fill in for the lack of human teachers. Funding for Intelligent Tutoring Systems (ITSs) and other forms of educational technology in mathematics, science and engineering is critically important to the future of the EU. As evidence of this the EU commission has focused on TEL in math and science in the most recent FP7 call.
This workshop has two major goals:
1. Inform the broad audience of TEL professionals about the landmark projects in the field of TELMAS; and
2. Provide a platform for discussing novel and emerging approaches towards building new TELMAS applications that take advantage of emerging information technologies and help answer the challenges of modern MAS education.
After the workshop, selected contributions will be invited for publication in a state-of-the-art volume of Springer Lecture Notes in AI (LNAI).
Call for Papers
Authors are invited to submit Full papers (up to 10 pages), Short papers (up 5 pages) and Demonstration papers (up to 2 pages) that address TELMAS-related topics and present original and unpublished research.
Authors should use the Springer LNCS format (http://www.springer.com/lncs).
The papers should be submitted in PDF format using EasyChair system (https://www.easychair.org/conferences/?conf=telmas2011)
Several well-known TELMAS researchers will give keynote talks at the workshop:
o Vincent Aleven, Carnegie Mellon University
o Ivon Arroyo, University of Massachusetts Amherst
o Cristina Conati, University of British Columbia
o Susanne Narciss, Technische Universität Dresden
o Johanna Moore, University of Edinburgh
Topics of interest
The focus of the proposed workshop includes, but is not restricted to, the following topics:
o Student Modeling in TELMAS systems
o Pedagogical and educational theories for TELMAS
o Tutorial strategies for TELMAS
o Architectures of TELMAS applications
o Learning Repositories, sharing and interoperability of LOs for TELMAS
o Game-based and simulation-based learning of Math and Science
o Multilingual and multi-cultural aspects of TELMAS
o Intelligent and adaptive interfaces for TELMAS applications
o Application of emerging web-technologies in TELMAS
o Educational data mining of TELMAS systems
o Evaluation of TELMAS systems
Sergey Sosnovsky, CeLTech, DFKI,
Bruce M. McLaren, HCI Institute, CMU
Christoph Igel, CeLTech, DFKI
Jörg Siekmann, CeLTech, DFKI
George Goguadze, Saarland University
James Lester, North Carolina State University
Amy Ogan, Carnegie Mellon University
Ido Roll, University of British Columbia
Carsten Ullrich, Shanghai Jiao Tong University
Kurt Vanlehn, Arizona State University
30 July 2011: Paper Submission deadline
20 August 2011: Notification of acceptance
5 September 2011: Camera Ready Submission
20 or 21 September 2011: Workshop