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Teaching, learning and assessment in MSc. Databases units at University of Greenwich

Teaching, learning and assessment in MSc. Databases units at University of Greenwich

Njovu, Chiyaba (2003) Teaching, learning and assessment in MSc. Databases units at University of Greenwich. In: Teaching, Learning and Assessment of Databases (TLAD) [Proceedings]. LTSN (Learning and Teaching Support Network) / BCS (British Computer Society), Newtonabbey, Antrim, Northern Ireland, UK, pp. 89-93. ISBN 0954192737

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Abstract

In this paper we look at ways of delivering and assessing learning on database units offered on higher degree programmes (MSc) in the School of Computing and Mathematical Sciences at the University of Greenwich. Of critical importance is the teaching methods employed for verbal disposition, practical laboratory exercises and a careful evaluation of assessment methods and assessment tools in view of the fact that databases involve not only database design but also use of practical tools, such as database management systems (DBMSs) software, human designers, database administrators (DBA) and end users. Our goal is to clearly identify potential key success factors in delivering and assessing learning in both practical and theoretical aspects of database course units.

Item Type: Conference Proceedings
Title of Proceedings: Teaching, Learning and Assessment of Databases (TLAD) [Proceedings]
Additional Information: [1] This paper was first presented at the Teaching, Learning and Assessment of Databases (TLAD) event, held on 14th July 2003 in Coventry, UK. [2] LTSN (Learning and Teaching Support Network) is now part of the Higher Education Academy.
Uncontrolled Keywords: teaching, learning, assessment, databases, theory, practice
Subjects: L Education > LB Theory and practice of education > LB2300 Higher Education
Q Science > QA Mathematics
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Information Systems & Digital Media
Related URLs:
Last Modified: 14 Oct 2016 09:01
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/661

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