TY - GEN
T1 - Assessment of the quality of teaching and learning based on data driven evaluation methods
AU - Chaczko, Zenon
AU - Dobler, Heinz
AU - Jacak, Witold
AU - Klempous, Ryszard
AU - Maciejewski, Henryk
AU - Nikodem, Jan
AU - Nikodem, Michal
AU - Rozenblit, Jerzy
AU - Araujo, Carmen Paz Suarez
AU - Sliwiński, Przemysław
PY - 2006
Y1 - 2006
N2 - The data-driven decision support tool built around the SAS technology has been developed to support the evaluation and monitoring of the quality of educational process. The tool forms an integrated framework that can be used for managing of teaching and learning processes and for performing comparative studies in the participating institutions. The tool includes: the engine for the comparative statistical analysis of the quality of teaching, the mechanism for dissemination of analytical results and the reporting facility. The main aim of our study is to extract and to compare the information on the quality of courses and teaching obtained from the different sets of databases at the Faculty of Electronic Engineering (FEE) of the Wroclaw, University of Technology (WUT), Poland; the Faculty of Computer Science (FCS) at University of Las Palmas de Grand Canaria (ULPGC), Spain; the Faculty of Engineering, Software, the Polytechnic University of Upper Austria in Hagenberg, Austria; the Electrical and Computer Science Department at the University of Arizona in Tucson, USA and Software Engineering Group at the Faculty of Engineering University of Technology, Sydney (UTS), Australia. In this paper we describe the process involved, the methodology, the tools for the analysis; and we present the results of our study.
AB - The data-driven decision support tool built around the SAS technology has been developed to support the evaluation and monitoring of the quality of educational process. The tool forms an integrated framework that can be used for managing of teaching and learning processes and for performing comparative studies in the participating institutions. The tool includes: the engine for the comparative statistical analysis of the quality of teaching, the mechanism for dissemination of analytical results and the reporting facility. The main aim of our study is to extract and to compare the information on the quality of courses and teaching obtained from the different sets of databases at the Faculty of Electronic Engineering (FEE) of the Wroclaw, University of Technology (WUT), Poland; the Faculty of Computer Science (FCS) at University of Las Palmas de Grand Canaria (ULPGC), Spain; the Faculty of Engineering, Software, the Polytechnic University of Upper Austria in Hagenberg, Austria; the Electrical and Computer Science Department at the University of Arizona in Tucson, USA and Software Engineering Group at the Faculty of Engineering University of Technology, Sydney (UTS), Australia. In this paper we describe the process involved, the methodology, the tools for the analysis; and we present the results of our study.
KW - DSS
KW - Data warehousing and data mining
KW - Evaluation of courses and teaching
KW - OLAP
KW - Software-based course evaluation systems
KW - Survey design models
UR - http://www.scopus.com/inward/record.url?scp=46949098791&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=46949098791&partnerID=8YFLogxK
U2 - 10.1109/ITHET.2006.339723
DO - 10.1109/ITHET.2006.339723
M3 - Conference contribution
AN - SCOPUS:46949098791
SN - 1424404061
SN - 9781424404063
T3 - 7th International Conference on Information Technology Based Higher Education and Training, ITHET
SP - 931
EP - 946
BT - 7th International Conference on Information Technology Based Higher Education and Training, ITHET
T2 - 7th International Conference on Information Technology Based Higher Education and Training, ITHET
Y2 - 10 July 2006 through 13 July 2006
ER -