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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
The S-Star Trial Bioinformatics course: An on-line learning success
Biochemistry and Molecular Biology Education, Volume 31, No. 1, Year 2003
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Description
The S-Star Trial Bioinformatics on-line course (www.s-star.org) is a global experiment in bioinformatics distance education. Six universities from five continents have participated in this project. One hundred and fifty students participated in the first trial course of which 96 followed through the entire course and 70 fulfilled the overall course requirements. The course was built up of 12 lectures covering different basic and advanced topics within bioinformatics. The lectures consist of streaming video and synchronized slides with follow-up discussion forums and a final assessment. It draws on experts from diverse institutions to share their teaching expertise and resources via distance learning. A major goal of S-Star is to provide free introductory web-based education. Here we present the outline of the course, experiences from a global collaboration, and feedback from the first trial of the on-line S-Star course. © 2003 by The International Union of Biochemistry and Molecular Biology.
Authors & Co-Authors
Lim, Yun Ping
Singapore, Singapore City
National University of Singapore
Höög, Jan Olov
Sweden, Stockholm
Karolinska Institutet
Gardner, Phyllis
United States, Palo Alto
Stanford University
Ranganathan, Shoba
Singapore, Singapore City
National University of Singapore
Andersson, Siv
Sweden, Uppsala
Uppsala Universitet
Subbiah, Subramanian
United States, Palo Alto
Stanford University
Tan, Tin Wee
Singapore, Singapore City
National University of Singapore
Hide, Winston A.
South Africa, Bellville
University of the Western Cape
Weiss, Anthony S.
Australia, Sydney
The University of Sydney
Statistics
Citations: 22
Authors: 9
Affiliations: 6
Identifiers
Doi:
10.1002/bmb.2003.494031010160
ISSN:
14708175
Study Design
Cohort Study
Study Approach
Quantitative