Abstract
In research studies, a student starts with writing a research proposal, followed up by intensive literature and industrial survey in his/her own research area. The student must perform his/her own research with validation under supervisor’s guidance. The student’s own research work must be differentiated from others work in order to demonstrate the unique originality and significance of the students’ contribution. The information explosion on the Internet makes the survey analysis much more difficult. This paper suggests a solution by recording both the students’ own research work and others work into a meta data, and compare them for further analysis as part of student’s dissertation. The record based eLearning system can track the progress of student’s research studies in, problem statement, proposed solution, analysis, findings, publication and feedback, in an eLearning system.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Fong, J.: Web-Based Logging of Classroom Teaching Activities for Blended Learning. In: Leung, H., Li, F., Lau, R., Li, Q. (eds.) ICWL 2007. LNCS, vol. 4823, pp. 597–605. Springer, Heidelberg (2008)
Hirumi, A.: The Design and Sequencing of eLearning Interactions: A Grounded Approach. International Journal on E-Learning 1(1), 19–27 (2002)
Herman, T., Banister, S.: Face-to-Face versus Online Coursework: A Comparison of Learning Outcomes and Costs. Contemporary Issues in Technology and Teacher Education 7(4), 318–326 (2007)
Wolsey, T.: Efficacy of Instructor Feedback on Written Work in an Online Program. International Journal on E-Learning 7(2), 311–329 (2008)
Chesapeake, V.A.: AACE. Taran, C, Best Practices for Creating Quality Rapid eLearning. In: Pearson, E., Bohman, P. (eds.) Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2006, Chesapeake, VA: AACE, pp. 2089–2094 (2006)
Tamino – The XML database, http://www.softwareag.com/Corporate/products/wm/tamino/default.asp
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Fong, J., Shiu, H. (2008). eSurvey: A Survey Record Based eLearning System for Research Degree Study. In: Fong, J., Kwan, R., Wang, F.L. (eds) Hybrid Learning and Education. ICHL 2008. Lecture Notes in Computer Science, vol 5169. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85170-7_12
Download citation
DOI: https://doi.org/10.1007/978-3-540-85170-7_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85169-1
Online ISBN: 978-3-540-85170-7
eBook Packages: Computer ScienceComputer Science (R0)