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Technology-based approach for managing large classes: A case study

Meziane, F and Kulathuramaiyer, N 1997, Technology-based approach for managing large classes: A case study , in: Proceeding of the International Conference on Computers in Education, (ICCE97), 2-5 December, 1997, Kuching, Sarawak.

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    Abstract

    Educational institutions are faced with many problems. In one hand they face a shortage of staff and funding and at the same time the number of students enrolled is ever increasing. The lecturers are faced with large and sometimes huge classes. Providing a quality course using traditional methods of teaching- learning becomes very difficult if not impossible. This calls for a shift in the teaching-learning paradigm whereby the traditional modes become inadequate to both deal with the large number of students and to provide an interactive learning environment. Technology-based and student-centred approaches need to be employed to overcome the space-time barriers in this new environment. In this paper we present our experience in conducting the TMX2012, “IT Tools for Knowledge Workers” course, which had 670 students enrolled. We will describe the various aspects of course management such as the laboratory and tutorial booking system, access to course material, modes of communication and interaction with students, administration of assessments and the monitoring of student progress. We will also describe how Information Technology has been used extensively throughout the course.

    Item Type: Conference or Workshop Item (Paper)
    Themes: Subjects / Themes > Q Science > QA Mathematics > QA075 Electronic computers. Computer science > QA076 Computer software
    Subjects outside of the University Themes
    Schools: Colleges and Schools > College of Science & Technology
    Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering
    Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Data Mining and Pattern Recognition Research Centre
    Refereed: Yes
    Depositing User: Prof Farid Meziane
    Date Deposited: 17 Jul 2009 11:15
    Last Modified: 20 Aug 2013 16:58
    URI: http://usir.salford.ac.uk/id/eprint/2203

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