FC 2016: Frontier Computing pp 219-226 | Cite as
The Requirement Analysis and Initial Design of a Cloud and Crowd Supported Mathematics Learning Environment for Computer Science Students
Abstract
Math learning has never been easy and math learning in computer science is not an exception. However, the important of math can never be underestimated. In computer science, it was found that students learning performance in math is strongly connected with the development of the following capabilities: problem solving, programming, computer hardware and architecture design, computer science theory understanding, and software engineering and system analysis. The goal of this research is to develop a method based on cloud technologies and crowd intelligence to enhance students learning performance of math in computer science.
Keywords
Crowdsourcing CSCL ElearningNotes
Acknowledgements
The manuscript is prepared with all the co-authers and my lab members in Department of Information Management in Nanhua University The author would like to acknowledge the support of the research project “104-2511-S-343-003”, which is founded by MOST.
References
- 1.Bravaco, R., Kim, B., Gousie, M.B., and Wilkens, L.: Math connections in computer science. J. Comput. Sci. Coll. 24, 6 (June 2009), 57–61.Google Scholar
- 2.Koschmann, T. D. CSCL, theory and practice of an emerging paradigm. Routledge.Google Scholar
- 3.Konvalina, J., Wileman, S.A., and Stephens, L.J.. 1983. Math proficiency: a key to success for computer science students. Commun. ACM 26, 5 (May 1983), 377–382.Google Scholar
- 4.Henderson, P. B., Baldwin, D., Dasigi, V., Dupras, M., Fritz, J., Ginat, D., and Walker, H. (December 2001). Striving for mathematical thinking. In Working group reports from ITiCSE on Innovation and technology in computer science education, 114–124.Google Scholar
- 5.Beaubouef, T. 2002. Why computer science students need math. SIGCSE Bull. 34, 4 (December 2002), 57–59.Google Scholar
- 6.Sherman, H.J., Richardson, L.I., and Yard, G.J. Why students struggle with mathematics. Pearson Allyn Bacon Prentice Hall, 2014.Google Scholar
- 7.Zanchi, C., Presser, A. L., and Vahey, P. (2013, June). Next generation preschool math demo: tablet games for preschool classrooms. In Proceedings of the 12th International Conference on Interaction Design and Children, 527–530Google Scholar
- 8.Ke, F. (2006, June). Classroom goal structures for educational math game application. In Proceedings of the 7th international conference on Learning sciences, 314–320.Google Scholar
- 9.Ke, F. (2007, July). Using computer-based math games as an anchor for cooperative learning. In Proceedings of the 8th iternational conference on Computer supported collaborative learning, 357–359.Google Scholar
- 10.Niess, M. L. (2005). Scaffolding Math Learning with Spreadsheets. Learning Connections–Mathematics. Learning & Leading with Technology, 32(5), 24.Google Scholar
- 11.Stahl, G. (2010, June). Computer mediation of collaborative mathematical exploration. In Proceedings of the 9th International Conference of the Learning Sciences-Volume 2, 30–33Google Scholar
- 12.Lambropoulos, N. and Romero, M. (2011). Personalised information retrieval through the use of a collaboration awareness tool, a chat and a forum tool in a computer supported collaborative learning task. International Journal of Knowledge and Web Intelligence, 2(2-3), 219–229.Google Scholar
- 13.Edrees, M. E. (2013, May). eLearning 2.0: Learning management systems readiness. In e-Learning “Best Practices in Management, Design and Development of e-Courses: Standards of Excellence and Creativity”, 2013 Fourth International Conference, 90–96.Google Scholar
- 14.Greengard, S. (2011). Following the crowd. Communications of the ACM, 54(2), 20–22.Google Scholar