Docstoc

A STUDY ON USERS OF MOODLE THROUGH SARASIN MODEL

Document Sample
A STUDY ON USERS OF MOODLE THROUGH SARASIN MODEL Powered By Docstoc
					 INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING
  International Journal of & TECHNOLOGY (IJCET)
                           Computer Engineering and Technology (IJCET), ISSN 0976-
  6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME
ISSN 0976 – 6367(Print)
ISSN 0976 – 6375(Online)
Volume 4, Issue 1, January- February (2013), pp. 71-79
                                                                             IJCET
© IAEME: www.iaeme.com/ijcet.asp
Journal Impact Factor (2012): 3.9580 (Calculated by GISI)                 ©IAEME
www.jifactor.com




     A STUDY ON USERS OF MOODLE THROUGH SARASIN MODEL

       Maria Dominic1, Anthony Philomen Raj1, Sagayaraj Francis2, Saul Nicholas1
                     1 Department of MCA, Sacred Heart College, India
  2 Department of Computer Science and Engineering, Pondicherry Engineering College, India
       dominic@shctpt.edu, philomen@shctpt.edu, fsfrancis@pec.edu, saul@shctpt.edu



  ABSTRACT

          Education is a conscious attempt to promote learning in others [1]. E-learning
  provides greater freedom from the time and space constraints and allows more interactivity in
  teaching learning process. This benefits the learners more than the traditional learning [2].
  Out of the various open sources or proprietary e-LMS we have customized and used
  MOODLE in our campus*. To evaluate this idea we made a study on the usage of it with
  respect to Sarasin Model and have recorded the findings in this paper.

  Keywords: Learning Styles, e-learning, e-learning models, e-learning open sources,
  MOODLE

  LEARNING

          Learning is acquiring new, which is existing within us, to bring out with the help of
  teaching method [3]. Different learners have different styles of learning. A learning style is a
  way by which the learner concentrates processes, digests and remembers. Understanding this
  process will make teaching and learning become more efficient since the teacher’s will
  become more aware of the learner’s characteristics. A synthesis of learning style theories
  about the learner’s characteristics from various theorist views are provided in [4]. One such
  theorist is Sarasin. In this paper we match Sarasin’s model [4] of learning auditory, visual
  and tactile/kinesthetic with the characteristics of MOODLE and conclude which of the
  features benefits/contributes more to the learning process in our campus. Sarasin classified
  the learning styles to three types as shown in Figure 1.




                                                71
International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-
6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME

Visual
Visual learners learn through two channels namely, Linguistic and Spatial.




                           Figure 1 Sarasin Model Learning Styles

Linguistic
Visual-linguistic learners learn more from reading and writing. They learn through written
language and they remember the text even if they do not read more than once.

Spatial
Learners of visual-spatial type prefer to visualize their learning materials and hence they do
better with charts, presentations, videos and other visual aids. They generally have difficulty
with written language.

Auditory
Auditory learners often talk to themselves. They also may move their lips and read out loud.
They may have difficulty with reading and writing tasks. They often do better talking to a
colleague or a tape recorder and hearing what was heard.
Kinesthetic
Kinesthetic learners learn by doing themselves, experiencing and reflecting. The two
channels of this learning are kinesthetic (movement) and tactile (touch).

e-LEARNING

        Many conceive of e-learning as distance learning mostly self studied and lacking
other dimensions of conventional teaching. It is a flawed misconception. The letter ‘e’ as
prefixed in e-mail, e-commerce, e-business stands for electronic. According to European
Union (EU) it is the inclusion of all ICT in all learning systems and environment (formal, non
formal) and according to American society for training and development (ASTD), e-learning
covers a wide set of applications and process such as web based learning, computer based
learning, virtual learning and digital collaboration. It includes delivery through internet /
Intranet / extranet, audio, video, text, CD ROM etc., [5]. Even though there is so much hype
around e-learning there are also limitations with regard to it. One such is limited audio-visual
contact and experience which can never be as powerful as real time [5]. E-learning is made
up of three components, namely enabling technology, learning content and learning design.
Figure 2 depicts the component parts of e-learning [5].

                                              72
International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-
6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME




                             Figure 2 Components of e-learning

Even though the teacher may be the subject expert and content developer but he has no
control over the learning activities because e-learning is a team work between various stake
holders such as subject expert, learning management system, web developer, graphic artists
and the learner.

e-LEARNING MODELS

        There is a variety of learning models in practice. The learning models can be
classified according to the characteristics of learning. Table 1 lists the learning models and
their characteristics [4].


                                  Table 1 Learning Models
                     Learning
                                              Characteristics
                      Models
                                                               Tactile/
                      Sarasin     Auditory          Visual
                                                              Kinesthetic
                     Gregorc/    Abstract/      Random/
                                                                Concrete
                      Butler     Sequential     Concrete
                       Sims                                   Behavioral/
                                  Cognitive     Perceptual
                      & Sims                                   Affective

                     McCarthy     Analytic     Imaginative      Dynamic

                       Harb,
                                 Abstract/                       Active/
                      Durrant,                     Concrete
                                 Reflective                     Concrete
                      & Terry


e-LEARNING OPEN SOURCES

        A search was made on the web for open source systems which can be used for e-
learning and it is providing in Table 2. These software are desktop based and can be installed
in the local machine.



                                              73
International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-
6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME


                              Table 2 Desktop based Software

         S.N
                          Name                                URL
          o
           1          OpenOffice.org                  http://openoffice.org/
           2            Audacity                 http://audacity.sourceforge.net
                      CamStudio.org
           3                                         http://camstudio.org/
           4            GIMP.org                        http://gimp.org/
                       Handbrake.fr
           5                                          http://handbrake.fr/
                      Mozilla Firefox
           6                                        www.mozillafirefox.us
                 SeaMonkey-Project.org
           7                                     www.seamonkey-project.org
                        Notepad++
           8                                     www.notepad-plus-plus.org/
                  Visual Understanding
           9                                          http://vue.tufts.edu/
                  Environment (VUE)

The following Table 3 lists some of the e-learning software which works on client- server
technology. These software need to be installed in the server and accessed and used by many
clients (learners).


                               Table 3 Server based Software

               S.No          Name                            URL
                 1         MOODLE                    https://moodle.org/
                 2          ATutor               http://atutor.ca/credits.php
                          WordPress.org
                 3                                     wordpress.org/
                            MediaWiki
                 4                                 www.mediawiki.org/
                 5            phpBB               https://www.phpbb.com/
                             StatusNet
                 6                                       status.net/
                               Piwik
                 7                                       piwik.org/
                        OpenWebAnalytics
                 8                            www.openwebanalytics.com/
                 9             Sakai               www.sakaiproject.org/

                                            74
International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-
6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME

MOODLE

       MOODLE[17] stands for "Modular Object-Oriented Dynamic Learning Environment."
MOODLE along with BlackBoard [18] is one of the popular e-learning software’s used around the
world. The main advantage of using MOODLE is that it is open source platform which can be
downloaded and customized to our requirement and ably supported by group of developers. This was
the main factor which made us to use this software in our college to popularize e-learning in our
campus. MOODLE has been used in our campus from 2007 onwards.




                                Figure 3 Customized MOODLE

Features in MOODLE

Even though MOODLE provides a wide array of plug-ins which are constantly developed and
uploaded for the user community, some of the commonly used features are as follows,
1. Online assignment(single and multiple file upload)
2. Chat
3. Quiz
4. Forum
5. Survey
6. Hot Pot
7. Wiki
8. Database
9. Glossary
10. Lesson
11. Bulletin board
12. Online evaluation
13. Report generation
14. Notification
15. Blogs
16. Question Bank
17. Legacy site files
18. Online users


                                               75
International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-
6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME

VIEWING MOODLE THROUGH SARASIN MODEL

        Since 2007 onwards MOODLE has been used in our campus and been used by our
faculty members and students. So to evaluate its impact on our learning community in the
teaching learning process and to answer the following two research questions
        i) What is the learning style preferred by our students?
        ii) Does students learning style differ according to the gender?
A study was done by considering the parameters provided in Sarasin model on a sample size
of 160 students. A questionere collected data on the students preference on the features used
by them in MOODLE namely, audio, video, animations, lexicon, mind mapping, online
compilation to test their program and do projects, lecture materials like presentations, lecture
notes, e-books, other references, discussion forum, messaging/chatting with peers and tutors,
online quiz with automatic marking. The statistics of the data is given in Table 4. Then the
following methodology was followed to interpret the data

a.   Initial data was collected.
b.   Mean (X) and Standard Deviation (SD) was computed for rows.
c.   Based on X and SD, the score has been classified into three levels, which is Less Usage /
     Moderate Usage / High Usage. These three indicators show the level of usage of the
     learning style.
Categorization of the respondents was done by Indexing Statistics method [4].
Less Usage = X – SD                      (1)
High Usage = X + SD                      (2)
Moderate Usage = X – SD to X + SD (3)
Table 4 provides the breakdown of the respondents with respect to gender and Table 5 and
Figure 4 provides the overall relationship between the students and MOODLE with respect to
the various learning styles mentioned in the model taken for study.

                           Table 4 Break down of the respondents

                            Gender        Frequency        Percent
                             Male            80              50.0
                            Female           80              50.0
                             Total           160            100.0


                              Table 5 Learning Style Vs Usage

                                      Less      Moderat       High
                            Style
                                      Usage     e Usage       Usage
                          Audio        29         108          23
                          Visual       30          90          40
                         Kinesthet
                                        30          90          40
                            ic


                                              76
International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-
6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME




                            Figure 4 Learning Style Vs Usage


                                   Table 6 Male respondents

                                      Less     Moderat        High
                          Style
                                      Usage    e Usage        Usage
                         Audio         77         3             0
                         Visual        62         18            0
                        Kinesthet
                                         4         52           24
                           ic




                                  Figure 5 Male repondents


                                  Table 7 Female respondents

                                      Less     Moderate        High
                          Style
                                      Usage     Usage          Usage
                         Audio         80         0              0
                         Visual        55        24              0
                        Kinestheti
                                         1         58           21
                            c


                                              77
International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-
6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME




                                 Figure 6 Female repondents


CONCLUSION

        From this study, teachers got an insight on the learner’s attitude and their expectations
which help them to fine tune their approach to make teaching learning process better in
future. Figure 5 provides the result for the first research question about the learning style
preferred by our students. The results of the study points out that, at present students learn
much from the visual and kinesthetic learning through MOODLE, auditory comes the third.
Regarding the results for the second research question, whether the learning style differs
according to gender, Figure 5, 6 indicates that it is same as the results for overall. That is the
results for both the gender matches, first comes kinesthetic followed by visual and audio with
slight variations which can be viewed in the tables provided. This provided us with a insight
and inspired us to go ahead with the experiment to develop an e-lms by means of the
available open source tools in web 2.0 to incorporate collaboration and socialization [19] into
the teaching learning process.

REFERENCES

1.  Lavanya Rajendran, Ramachandran Veilumuthu, “A Cost-Effective Cloud Service for E-
    Learning Video on Demand”, European Journal of Scientific Research ISSN 1450-216X
    Vol.55 No.4 (2011), pp.569-579
2. Sean Wolfgand Matsui Siqueira , Maria Helena Lima Baptista Braz , Rubens
    Nascimento Melo , “e-learning content warehousing architecture”, IADIS International
    Conference WWW/Internet 2002
3. http://en.wikipedia.org/wiki/Learning
4. Nancy Csapo, Roger Hayen, “The Role of Learning Styles in the Teaching/Learning
    Process”, Central Michigan University, Volume VII, No. 1, 2006.
5. Kenneth Fee, “Delivering e-learning: a complete strategy for design, application, and
    assessment”, Published in Great Britain and the United States in 2009 by Kogan Page
    Limited, ISBN 978-0-7494-5397-8.
6. http://www.nwlink.com/donclark/hrd/styles/
7. http://blog.matbury.com/2011/10/19/open-source-software-for-elearning/
8. http://www.merriam-webster.com/dictionary/learning
9. http://www.learning-styles-online.com/
10. http://www.ldpride.net/learningstyles.MI.htm
                                               78
International Journal of Computer Engineering and Technology (IJCET), ISSN 0976-
6367(Print), ISSN 0976 – 6375(Online) Volume 4, Issue 1, January- February (2013), © IAEME

11. http://people.usd.edu/bwjames/tut/learning-style/
12. http://www.missiontolearn.com/2009/05/definition-of-learning/
13. Som Naidu, Ph. D, “E-Learning, A Guidebook of Principles, Procedures and Practices”,
    Publication Design and Coordination: Sanjaya Mishra, ISBN: 81-88770-04-3.
14. http://en.wikipedia.org/wiki/Learning_styles#Other_models.
15. Richard M. Felder, Linda K. Silverman, “Learning and Teaching Styles In Engineering
    Education”, published in the Journal of Engineering Education, Engr. Education, 78(7),
    674–681 (1988).
16. Melanie Arthur, “SPSS Companion for Research Methods,Revised Third Edition”,
    Portland State University.
17. moodle.org
18. blackboard.org
19. Mohammed Al-Zoube, Samir Abou El-Seoud, “Using Social Networking Sites as a
    Platform for E-Learning”, ICL, 2009




                                           79

				
DOCUMENT INFO
Shared By:
Categories:
Tags:
Stats:
views:8
posted:2/1/2013
language:
pages:9