Assessment of the quality of teaching and learning based on data driven evaluation methods

Abstract

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.