Browse > Article
http://dx.doi.org/10.5351/CKSS.2011.18.3.333

A Digital Nervous System for Elementary Statistics Education in the Mobile Age: SmartNote  

Han, Kyung-Soo (Department of Statistics, Chonbuk National University)
Publication Information
Communications for Statistical Applications and Methods / v.18, no.3, 2011 , pp. 333-342 More about this Journal
Abstract
Many students in introductory statistics courses do not engage in learning under traditional classroom settings. A statistics instructor is often irritated by student behaviors such as sleeping, talking out of place, and acting bored or apathetic during lectures. The lecture and exercises in the computer laboratory should constantly compete with materials via the Internet to draw the attention of the student. To address problems in statistics education, we propose a digital nervous system in which a teacher and students can communicate with each other.
Keywords
Traditional classroom; statistics education; digital nervous system;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Anderson, D. R., Sweeney, D. J. and Williams, T. A. (2007). Statistics for Business and Economics, 류귀열 등역, 한올출판사.
2 Bloom, B. S. (1968). Learning for mastery, Evaluation Comment, 1, 1-2.
3 Bloom, B. S. (1976). Human Characteristics and School Learning, McGraw-Hill, New York.
4 Dryver, A. (2009). The enhancement of teaching materials for applied statistics courses by combining random number generation and portable document format files via LATEX, Journal of Statistical Software, 31, 1-9.
5 Guskey, T. R. (2007). Closing achievement gaps: Revisiting Benjamin S. Bloom's learning for mastery, Journal of Advanced Academics, 19, 8-31.   DOI
6 Lalonde, R. N. and Gardner, R. C. (1993). Statistics as a second language? A model for predicting performance in psychology students, Canadian Journal of Behavioral Science, 25, 108-125.   DOI
7 Lass, D., Morzuch, B. and Rogers, R. (2007). Teaching with technology to engage students and enhance learning, University of Massachusetts Amherst Working Paper No., 2007-1.
8 Mann, P. S. (2010). Introductory Statistics, 7th Edition, Wiley.
9 Mills, J. D. (2004). Students' attitudes toward statistics: Implications for the future, College Student Journal, 38, 349-361.
10 Onwuegbuzie, A. J., Slate, J. R., Paterson, F. R. A., Watson, M. H. and Schwartz, R. A. (2000). Factors associated with achievement in educational research courses, Research in the Schools, 7, 53-65.
11 Retkute, R. (2009). Exploring technology-based continuous assessment via electronic voting systems in mathematics and statistics, MSOR Connections, 9, 24-28.
12 Zanakis, S. H. and Valenzi, E. R. (1997). Student anxiety and attitudes in business statistics, Journal of Education for Business, 73, 10-16.   DOI   ScienceOn
13 Mun, G. S. (2011). On Developing an Integrated Teaching and Learning Environment Providing a Bridge between Research Findings and Teaching Practice in Statistics Education, PhD thesis, Chonbuk National University, Available from: http://www.stat.auckland.ac.nz/ iase/publications/dissertations/11.Mun.Dissertation.pdf
14 Moore, D. S. (1997). New pedagogy and new content: The case of statistics, International Statistical Review, 65, 123-165.   DOI