About this paper

Appears in:
Pages: 2580-2585
Publication year: 2015
ISBN: 978-84-606-5763-7
ISSN: 2340-1079

Conference name: 9th International Technology, Education and Development Conference
Dates: 2-4 March, 2015
Location: Madrid, Spain

E-LEARNING COURSE AS A SUPPORT IN THE TEACHING OF DISCRETE PROBABILITY DISTRIBUTIONS

M.N. Pineda Becerril, A. Aguilar Marquez, J.C. Axotla, O. García, F. León

Facultad de Estudios Superiores Cuautitlán UNAM (MEXICO)
Many physical systems can be modeled by the same experiments and random variables. The distribution of the random variables involved in each of these systems can be analyzed and the results can be used in different applications and examples, that the development of the topics that correspond to distributions of probability statistics courses are very important, but the topics that present greater difficulty of understanding in statistics courses at the FESC UNAM are precisely relating to the study of probability, which has made it necessary to develop strategies to improve the teaching-learning process with the use of technology. In this part, it has developed an e-learning course to complement and reinforce the knowledge acquired in the classroom, which is to achieve greater student motivation and better school performance.
The e-learning courses are educational platforms or virtual environments that support teaching and learning at university. In this case, we can say that their use has transformed much of traditional teaching spaces in virtual teaching and learning spaces. The e-learning course developed corresponds to the subject of discrete probability distributions: binomial and poisson.

The E-learning course was developed in order to:
(a) contribute to the content of study, skills and competencies that student should acquire
(b) integrate the using of statistical software applications to real problems and contexts of the topics
(c) providing interactive materials that facilitate the understanding
(d) provide a mechanism for continuous assessment to serve as a guide for the course and
(e) to promote collaborative learning on-line by assigning projects and activities to be done in working groups.

The e-learning course has the following structure:
1) theoretical development of the themes, discrete probability distributions as binomial and poisson
2) solved exercises,
3) proposed exercises
4) exercises solved with internet
5) videos of each item
6) applets and interactive exercises
7) review and assessment questions immediately
8) In addition, it contains forum, chat and voice tasks.

The e-learning course will be implemented in the classes. However, we already held test pilot in a sample of students and teachers with a good acceptance.

Finally, integrating available resources relating to the themes in an e-learning course, it gets that both students and teachers have access to modern teaching method, where the emphasis should be on concepts, applications and interpretations, using appropriate software for the results.
@InProceedings{PINEDABECERRIL2015ELE,
author = {Pineda Becerril, M.N. and Aguilar Marquez, A. and Axotla, J.C. and Garc{\'{i}}a, O. and Le{\'{o}}n, F.},
title = {E-LEARNING COURSE AS A SUPPORT IN THE TEACHING OF DISCRETE PROBABILITY DISTRIBUTIONS},
series = {9th International Technology, Education and Development Conference},
booktitle = {INTED2015 Proceedings},
isbn = {978-84-606-5763-7},
issn = {2340-1079},
publisher = {IATED},
location = {Madrid, Spain},
month = {2-4 March, 2015},
year = {2015},
pages = {2580-2585}}
TY - CONF
AU - M.N. Pineda Becerril AU - A. Aguilar Marquez AU - J.C. Axotla AU - O. García AU - F. León
TI - E-LEARNING COURSE AS A SUPPORT IN THE TEACHING OF DISCRETE PROBABILITY DISTRIBUTIONS
SN - 978-84-606-5763-7/2340-1079
PY - 2015
Y1 - 2-4 March, 2015
CI - Madrid, Spain
JO - 9th International Technology, Education and Development Conference
JA - INTED2015 Proceedings
SP - 2580
EP - 2585
ER -
M.N. Pineda Becerril, A. Aguilar Marquez, J.C. Axotla, O. García, F. León (2015) E-LEARNING COURSE AS A SUPPORT IN THE TEACHING OF DISCRETE PROBABILITY DISTRIBUTIONS, INTED2015 Proceedings, pp. 2580-2585.
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