Volume 3 Number 5 (Oct. 2013)
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IJEEEE 2013 Vol.3(5): 425-431 ISSN: 2010-3654
DOI: 10.7763/IJEEEE.2013.V3.272

Building’s Refurbishment Computer Learning System with Augmented Reality

A. Kaklauskas, M. Kutinis, L. Kovachev, P. Petkov, I. Jackute, and L. Bartkiene
Abstract— Since 1999 Vilnius Gediminas Technical University has already introduced three e-learning Master’s degree programmes. This paper proposes a way to integrate augmented reality and computer learning systems. In order to demonstrate the integration of the above systems in building refurbishment projects, the Building Refurbishment Computer Learning System with Augmented Reality (BR-CLS-AR) has been developed. The authors of this paper participated in the project “Learning Augmented Reality Global Environment” (LARGE), part of the Lifelong Learning Programme. One of LARGE’s goals (on the part of Lithuania) was to integrate augmented reality and computer learning systems (i.e. to develop the BR-CLS-AR). To check the accuracy of the system, its entire solution process was reproduced manually. The results of the manual calculations matched those produced by the computer. Moreover, each individual phase in the system and its subsystems was checked with experts in this field, i.e. the underlying calculations were found to be in conformity with the experts’ logical reasoning. Owing to the suggestions from these experts, some useful changes have been introduced in the system. The BR-CLS-AR consists of a computer learning subsystem and an augmented reality subsystem.

Index Terms— Augmented reality, building refurbishment, computer learning system, distance learning.

A. Kaklauskas is with Vilnius Gediminas Technical University, Lithuania (e-mail: Arturas.Kaklauskas@vgtu.lt).

Cite: A. Kaklauskas, M. Kutinis, L. Kovachev, P. Petkov, I. Jackute, and L. Bartkiene, " Building’s Refurbishment Computer Learning System with Augmented Reality," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 3, no. 5, pp. 425-431, 2013.

General Information

ISSN: 2010-3654 (Online)
Frequency: Quarterly (Since 2015)
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Ms. Nancy Lau
Abstracting/ Indexing: EBSCO, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, EI (INSPEC, IET)
E-mail: ijeeee@iap.org
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