Review of Best Teaching Methodologies in Rural Areas

Authors

  • A Sumathi Dept. of Comp. Science, Navarasam Arts and Science College for Women, Arachalur, Affiliated to Bharathiar University
  • P Nithyashankari Dept. of Comp. Science, Navarasam Arts and Science College for Women, Arachalur, Affiliated to Bharathiar University

DOI:

https://doi.org/10.26438/ijcse/v8i1.4852

Keywords:

MATLAB, histogram, rural colleges, teaching strategies, motivation

Abstract

This paper extracts and broadens rural teachers’ most effective proclaimed motivating strategies. From the data generated by 2 years of mixed method research in rural college, these strategies appeared as among the most victorious. Selection of best practices was formed on a synthesis of what both teachers and students reported as making the greatest positive impact on their colleges’ related motivation. Teaching strategies are illustrated by multiple exhaustive examples from teachers’ interviews. Strategies are i) start with your classroom set up, ii) make digital citizenship a priority, iii) teach minilessons before using devices, iv) use the power of choice, v) remember that sharing is caring, vi) conduct teacher check-ins etc. The teaching methodology is surveyed through the college. The surveyed data is plotted using histogram graph method using MATLAB platform. Histogram is a graphical display of data using bars of different heights. It is similar to a bar chart, but a histogram group’s number into ranges. The height of each bar shows how many fall into each range.

References

[1] Charles Stangor "Research Methods For The Behavioral Sciences". Wadsworth, Cengag Learning. ISBN 9780840031976. 2011

[2] David W. Scott (December). "Averaged shifted histogram". Wiley Interdisciplinary Reviews: Computational Statistics. 2:2 (2): 160–164. doi:10.1002/wics.54. 2009.

[3] Dean, S., & Illowsky, B. (February 19). Descriptive Statistics: Histogram. Retrieved from the Connexions Web site: http://cnx.org/content/m16298/1.11/, 2009.

[4] Freedman, D.; Pisani, R.; Purves, R. Statistics (Third ed.). W. W. Norton. ISBN 978-0-393-97083-8. 1998.

[5] Howitt, D.; Cramer, D. Introduction to Statistics in Psychology (Fourth ed.). Prentice Hall. ISBN 978-0-13-205161-3. 2008

[6] M. Eileen Magnello (December). "Karl Pearson and the Origins of Modern Statistics: An Elastician becomes a Statistician". The New Zealand Journal for the History and Philosophy of Science and Technology. 1 volume. OCLC 682200824. 2006

[7] Nancy R. Tague. "Seven Basic Quality Tools". The Quality Toolbox. Milwaukee, Wisconsin: American Society Quality. p. 15. Retrieved 2010-02-05, 2004

[8] Naomi, Robbins. "A Histogram is NOT a Bar Chart". Forbes.com. Forbes. Retrieved 31 July 2018.

[9] Nicholls, J.G. Achievement motivation: Conceptions of ability, subjective experience, task choice, and performance. Psychological review, 91, 328-346. 1984.

[10] Pearson, K."Contributions to the Mathematical Theory of Evolution. II. Skew Variation in Homogeneous Material" (PDF). Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 186: 343–414. Bibcode:1895RSPTA.186..343P. doi:10.1098/rsta.1895.0010. 1895

[11] Pintrich, P.R. A motivational science perspective on the role of student motivation in learning and teaching contexts. Journal of educational psychology, 95(4), 667-686, 2003.

[12] Quaglia, R. J., & Cobb, C. D. Toward a theory of student aspirations. Journal of research in rural education, 12(3), 127-132. 1996.

[13] Scott, David W. Multivariate Density Estimation: Theory, Practice, and Visualization. New York: John Wiley. 1992

Downloads

Published

2020-01-31
CITATION
DOI: 10.26438/ijcse/v8i1.4852
Published: 2020-01-31

How to Cite

[1]
A. Sumathi and P. Nithyashankari, “Review of Best Teaching Methodologies in Rural Areas”, Int. J. Comp. Sci. Eng., vol. 8, no. 1, pp. 48–52, Jan. 2020.

Issue

Section

Research Article