Author
Listed:
- Arturas Kaklauskas
- E. K. Zavadskas
Abstract
"The Department of Construction Economics and Property Management (CEPM) at Vilnius Gediminas Technical University is committed to developing Web-based Intelligent Testing Systems and Web-based Computer Learning Systems for real-world industrial applications in sectors such as urban planning, construction, real estate, facilities management, international trade, ethics, etc. Since 1999 the distance learning Master's degree studies in ""Real Estate Management"" has been introduced into CEPM department and the Master's degree studies in ""Construction Economics"" from 2000, and e-learning Master's degree studies in ""Internet Technologies and Real Estate Management"" have been introduced in 2003. There are currently 221 Master's degree students in above three e-learning programmes. For example, the intelligent testing system developed by CEPM allows assessment of knowledge not only by the correct/incorrect answer, but also takes into account the time taken for a student to answer a question and the doubts appeared, the complex parameters, etc. The developed system provides support to the student by presenting explanations of the answers and the links to certain literature. It provides statistical analysis on knowledge acquirement depending on the gender of the student and the type of studies the student is involved in ñ distance or full-time. For the teacher the system is also useful because it helps to evaluate the correctness of a question formulation, difficulty of a question and directions for refinement of a test or a model, etc. "
Suggested Citation
Arturas Kaklauskas & E. K. Zavadskas, 2005.
"Web-based Intelligent Testing and Computer Learning Systems in Lithuania,"
ERES
eres2005_edu_106, European Real Estate Society (ERES).
Handle:
RePEc:arz:wpaper:eres2005_edu_106
Download full text from publisher
More about this item
JEL classification:
- R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location
Statistics
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