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Instructional strategies in the EGRET course: an international graduate forum on becoming a researcher

Published:04 May 2012Publication History

ABSTRACT

In today's knowledge economy, graduate students in the field of Computer Science are increasingly required to develop sophisticated, multi-faceted knowledge of conducting research across multiple contexts and countries. This paper reports the experience of teaching a course to prepare Computer Science graduate students for conducting research in the international community. The course emphasized development of skills critical for a successful research career in computer science, and included construction of knowledge as well as hands-on application of instructional content. The intended learning outcomes included (a) gaining familiarity with research design and methodologies in computer science, (b) preparing and delivering research presentations, (c) reviewing the literature, (d) reading and writing research papers, (e) writing and evaluating research proposals, and (f) networking in the international research community.

In this paper, we describe an innovative instructional design that emphasized international collaboration with graduate students from another university on a different continent, namely the Open University in the UK. Our instructional strategies included (a) remote participation of graduate students across universities and countries using technologies for computer mediated communication, (b) incorporation of collaborative activities using online tools scaffolding students' construction of sophisticated knowledge of key research activities, and (c) providing students with opportunities for hands-on practical application of concepts in collaborative research activities.

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  1. Instructional strategies in the EGRET course: an international graduate forum on becoming a researcher

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    • Published in

      cover image ACM Conferences
      WCCCE '12: Proceedings of the Seventeenth Western Canadian Conference on Computing Education
      May 2012
      65 pages
      ISBN:9781450314077
      DOI:10.1145/2247569

      Copyright © 2012 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 4 May 2012

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