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Review of Best Teaching Methodologies in Rural Areas

A. Sumathi1 , P. Nithyashankari2

Section:Research Paper, Product Type: Journal Paper
Volume-8 , Issue-1 , Page no. 48-52, Jan-2020

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v8i1.4852

Online published on Jan 31, 2020

Copyright © A. Sumathi, P. Nithyashankari . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: A. Sumathi, P. Nithyashankari, “Review of Best Teaching Methodologies in Rural Areas,” International Journal of Computer Sciences and Engineering, Vol.8, Issue.1, pp.48-52, 2020.

MLA Style Citation: A. Sumathi, P. Nithyashankari "Review of Best Teaching Methodologies in Rural Areas." International Journal of Computer Sciences and Engineering 8.1 (2020): 48-52.

APA Style Citation: A. Sumathi, P. Nithyashankari, (2020). Review of Best Teaching Methodologies in Rural Areas. International Journal of Computer Sciences and Engineering, 8(1), 48-52.

BibTex Style Citation:
@article{Sumathi_2020,
author = {A. Sumathi, P. Nithyashankari},
title = {Review of Best Teaching Methodologies in Rural Areas},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2020},
volume = {8},
Issue = {1},
month = {1},
year = {2020},
issn = {2347-2693},
pages = {48-52},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4994},
doi = {https://doi.org/10.26438/ijcse/v8i1.4852}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v8i1.4852}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4994
TI - Review of Best Teaching Methodologies in Rural Areas
T2 - International Journal of Computer Sciences and Engineering
AU - A. Sumathi, P. Nithyashankari
PY - 2020
DA - 2020/01/31
PB - IJCSE, Indore, INDIA
SP - 48-52
IS - 1
VL - 8
SN - 2347-2693
ER -

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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 mini-lessons 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.

Key-Words / Index Term

MATLAB, histogram, rural colleges, teaching strategies, motivation

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