Wednesday, May 13, 2009

A Study on Learning...(Rajandran et.al)

A STUDY ON LEARNING STYLES OF UNDERGRADUATE MANAGEMENT STUDENTS’ IN HIGHER LEARNING INSTITUTIONS AT KLANG VALLEY, MALAYSIA

RAJANDRAN PERESAMY

malraj07@yahoo.com

University Technical Malaysia Malacca

PROF DR. NANNA SURYANA

nsuryana@utem.edu.my

University Technical Malaysia Malacca

DR. MARTHANDAN GOVINDAN

marthandan@mmu.edu.my

Multimedia University

VIJAYAKUMAR VENGADASALAM

vijaya@mmu.edu.my

Multimedia University

PARAMESWARI SHUNMUGAM

parameswari@mmu.edu.my

Multimedia University

ABSTRACT

The objective of this research is to identify the learning styles of undergraduate management students at Klang Valley, Malaysia and to identify the relation of selected demographic factors with the learning styles. Index Learning style (ILS) developed by Felder-Sivermann has been adopted and used as a survey instrument in this study. Results of the study were used to see the significant relationship between learning styles and demographic factors such as gender, ethnicity and academic qualification. Seven hundred and three samples were collected. Based on the mean score, the study showed that the most dominant learning styles in sequence are visual, sequential, reflective, sensing, global, active, Intuitive and Verbal. The male students are found to be more dominant in active, intuitive and global learning compare to female students. In ethnicity, the mean score for active, intuitive and global are more significant for at least one pair in each ethnic group. There is a significant mean score differences for STPM, diploma and matriculation students in active and sensing learning styles. The learning styles score are significantly different between gender, ethnicity, and academic qualification. This paper discusses about the undergraduate management students’ learning styles and its relation with three demographic factors. Besides that, the next part of this research will look into other demographic factors and to propose a model of learning style incorporated multimedia learning environment for effective learning.

INTRODUCTION

Learning style is generally defined as a group of attributes and behaviors that determines an individual learner’s preference in learning (Honey & Mumford, 1992). Thus, it is a combination of aspects such as cognitive, conceptualization, affect and behavior which are simplified as seeing, thinking, feeling, and doing (Unlik, 2005). In normal circumstances, each individual will differ in their way of perceiving things and attitudes towards a situation, which also implies in the learning aspects.

Various learning styles models have been developed by researchers in this research area. Kolb (1976) through the Experiential Learning Theory has indicated the research in learning styles by classifying learning styles into 4 types, which are concrete experience, abstract conceptualization, active experimentation, and reflective observation. The concrete experience or abstract conceptualization focuses on how the students take in information, while the active experimentation and reflective observation focuses on how the students internalize the information they received.

The Multiple Intelligence Theory developed by Gardner H. (1983) has focused on the 8 types of information people prefer to process such as linguistic, logical mathematical, spatial, bodily-kinesthetic, musical, interpersonal, intrapersonal, and naturalist intelligences. Based on this theory, Armstrong and Thomas (1994) proposed that teachers be trained to present their lessons in a variety of ways using music, cooperative learning, art activities, role play, multimedia, field trips, inner reflection, and much more.

The learning style model by Felder-Silvermann (1988) has proposed that there are 8 types of learning styles such as active, reflective, sensing, intuitive, visual, verbal, sequential and global which are related to an individual’s information transfer process.

As according to Bettina L. Brown (2003), although there are benefits to the matching of teaching styles and learning styles, it appears that these alone does not guarantee greater learner achievement and the age, education level and motivation influences each student’s learning so that what was once preferred may no longer be the student’s current learning style.

In brief, many researches has been conducted to identify the learning styles of students for effective learning and the researches were conducted at various levels of study and to various gender levels and demographic aspects. In this study, the respondents are the undergraduate management students from various higher learning institutions (private and public institutions) at Klang Valley (an education hub) of Malaysia.

The study adopts Felder’s (1993), Learning Style Model and the instrument used in this research is an adoption on Index Learning Style (ILS) developed by Felder and Soloman (1997). The ILS has been tested and it is proved to be reliable as it has been used in many research studies.

Problem Statement

The undergraduate management students from higher learning institutions at Klang Valley are from various backgrounds such as gender, ethnicity, educational program or course of studies, year of studies and academic qualifications. Klang Valley has been chosen as the target location of this research because of the existence and emergence of numerous public and private higher learning institutions in this area. Besides that, Klang Valley is known to be one of the most prominent hubs of educational industry in Malaysia. The higher learning institutions chosen for this particular study are offering various types of Management courses for multiethnic group of students. Thus, this location is a reliable source to represent the actual learning environment of Malaysian students. Since the demographic aspects of this location and respondents vary, the expectation of this research is to study how the students’ differences in demographic aspects would result in differences in their learning styles.

The courses conducted by the management faculties in these higher learning institutions are similar in terms of content delivery to students but the students’ learning style or preferences in absorbing the knowledge of the content delivered to them may differ. As a result, this would lead to an incomplete learning environment for the students which may not be noticed by the teachers. The teachers may not be equipped with the data on how to overcome this type of student’s learning style issues. Therefore, the main objective for conducting this study is to identify this group of students’ learning styles.

OBJECTIVE

The main objectives of this study is,

a. To identify the learning styles of the undergraduate students of Managements

b. To identify the significant relationship between learning styles, gender, ethnicity and academic

qualification.

METHODOLOGY

The total population of the undergraduate students of Managements in Klang Valley is about 7000 people and they are enrolled in various educational program or majors. Based on the Morgan Theory, 560 samples of respondents were required in order to conduct the data analysis based on the 56 total numbers of questions on the independent variables. In the actual fact, 703 reliable samples have been collected for analysis. The samples were selected through simple random sampling.

The instrument used in this study was modified from ILS questionnaire developed by Felder and Silverman (1993). The hard copy of the questionnaire was distributed and the respondents were required to complete and return it. The questionnaire contained with 56 questions of the independent variables. Eight learning styles (active, reflective, sensing, intuitive, visual, verbal, sequential, global ) were included with 6 questions for each with 5 likert scale answers to be selected.

The questionnaires were distributed to students in person and through the lecturers teaching management students. The questions in the questionnaire have been proved to be reliable and valid by Zywmo (2003) as an instrument for students perception or behavioral study.

The respondents learning style preferences were identified by totaling up the learning style in each domain and the differences of the total with the domain was determined. Learning styles with the highest total identified as the preferred style. The data was analyzed in SPSS and the overall respondents learning style was distributed in percentage and mean using descriptive analysis. The mean score differences analysis between learning styles and demographic factors were conducted using ANOVA and Tukey’s post hoc test, to test and evaluate the hypothesis on significant mean differences.

RESULTS

Out of 850 samples returned by the respondents from various institutions only 703 were accepted for analysis. Out of the total of 703 respondents 330 were male and 373 females. Majority of the students are Malays (63%), Chinese (27.7%), Indians (6.4%) and others (2.8%). In term of academic qualification as per entry into the management program is, Matriculation (43.4%), STPM (35.1%), Diploma (19.1%) and others (2.4%).

As far as the students field of study is concern, 23.2% are in Business Administration, 20.6% in Economics, 19.2% in Accounting, 17.5% in Marketing, 15.4% in Finance/Banking, 2.1% in knowledge management and others 2.0%. From the total of 703 respondents 63.3% are from public institutions and 36.7 % from private institutions.

The Most Dominant Learning Style

The higher the score the higher the preference towards the respective learning style. Based on the cumulative learning style summary score mean the ranking of the dominant learning style that has been identified is shown in Table 1. The results in the mean score shows that the most dominant learning style is visual (3.84), followed by sequential (3.73), reflective style (3.71), sensing (3.68), and the rest.

Table 1. Learning styles mean scores

Style

Visual

Sequentia

Reflectiv

Sensing

Global

Active

Intuitive

Verbal

Mean

3.84

3.73

3.71

3.68

3.66

3.64

3.53

3.42

The one way ANOVA procedures was used to test if the mean learning style scores differ by the demography.

Learning Style According to Gender

The gender variables and the learning style variables were tested to see the significant difference in mean to evaluate the hypothesis,

Ho : There are no differences in learning styles between male and

female respondents.

H1 : There are differences in learning styles between male and

female respondents.

Table 2 shows the results of the one way ANOVA test. There is a significance differences in the means of active, intuitive and global learning style scores between the male and female students as the probability value p<0.05.>

Table 2 : Learning styles according to gender

Style

Gender

Mean

SE

F

p-value

Active

Female

3.61

0.021

4.396

0.036

Male

3.67

0.023

Intuitive

Female

3.47

0.025

11.529

0.001

Male

3.59

0.026

Global

Female

3.63

0.022

4.484

0.035

Male

3.70

0.024

Therefore we can reject the Ho. The conclusion is that there is a significant difference in the male and females active, intuitive and global learning styles.

Learning Styles According to Ethnic Group

The Tukey’s post hoc test was used to test the significant differences in mean for learning styles and ethnic group to evaluate the hypothesis,

Ho : There is no significant difference in terms of learning style and

ethnic group

H1 : There is significant difference in terms of learning style and

ethnic group.

Table 3 shows the results of Tukey’s post hoc test. It shows the probability value P<0.05 for active, intuitive and global learning styles between at least one pair of student’s ethnic group.

Table 3 : Learning Styles according to Ethnicity

Style

Race

Mean

S

F

p-value

Active

Chinese

3.50

0.39

11.418

<>

Indian

3.80

0.45

Malay

3.68

0.40

Intuitive

Chinese

3.42

0.43

11.55

<0.001

Indian

3.86

0.57

Malay

3.53

0.46

Global

Chinese

3.58

0.41

6.455

0.001

Indian

3.85

0.50

Malay

3.67

0.43

The test shows that for active learning style the mean for Chinese is significantly lower comparison to the mean for Indians and others. For intuitive learning styles the mean for Indians is significantly higher in comparison to the mean for the Chinese and Malays. The global learning style mean for Chinese is also significantly lower compared to the mean for the Indians and others. Therefore we can reject Ho again as there is a significant difference in the mean for the three learning styles and at least one pair of student ethnic group.

Learning Styles and the Academic Qualification

Again the Tukey’s post hoc test was used to evaluate the hypothesis,

Ho : There is no significant difference between the learning styles and

students academic qualifications.

H1: There is a significant difference between learning styles and

students academic qualifications.

Table 4 shows the results. It shows that the probability value p<0.05>

Table 4: Learning Styles and the Academic Qualification

Style

Qualification

Mean

S

F

p-value

Active

STPM

3.59

0.40

3.890

0.009

Diploma

3.73

0.41

Matriculation

3.63

0.41

Sensing

STPM

3.67

0.42

3.072

0.027

Diploma

3.78

0.38

Matriculation

3.65

0.40

For active learning style the mean for STPM students is significantly lower compared to the mean for diploma students and for sensing learning style the mean for diploma students is significantly higher compared to the mean for matriculation students. Thus, it can be concluded that there is a significant difference in the mean between active and sensing learning styles and at least one pair of academic qualification among STPM, diploma and matriculation students.

DISCUSSION AND CONCLUSION

The learning styles have been identified as one of the major contributing factor towards effective learning of an individual student. The current study has focused on the learning styles of the undergraduate management students at Klang Valley and its relation to respondents’ demographic aspects such as gender, ethnic group, academic qualifications, field of study, learning institutions and year of study.

The results of the study in summary shows that there are significant differences between the variables studied and the learning styles of students, as per the Felder- Silvermann’s Model on Theory of Learning Style. The major dominant learning styles identified in this research are visual, sequential and reflective.

The study shows that there are significant differences in the mean of the learning styles with gender, ethnic group, and academic qualification. This outcome should be taken into consideration when the teaching modules or subjects content delivery are being prepared by the teachers and also when teaching and learning is conducted using multimedia programs or multimedia learning environment. At the end of this study based on the findings and incorporation of other factors identified a conceptual or theoretical frame work or model will be proposed by incorporating the learning styles into multimedia learning environment. This proposed model will be a good guide for the management, teaching faculty and the multimedia program developers to strategically plan the multimedia learning programs which suits the students learning styles. This will result in an effective learning environment for the undergraduate management students.

REFERENCES

Armstrong & Thomas (1984). Multiple Intelligences: Seven Ways to Approach

Curriculum, Educational Leadership.

Bettina L. Brown (2003), Teaching Styles Vs Learning Styles. Myths and Realization no.28. ACVE Publication

Felder, R.M. and Silverman L.K., 1988. Learning and Teaching Styles in Engineering Education. Engineering Education, Vol.78, No 7, pp.674-681. Preceded by a preface in 2002 http://www.ncsu.edu/felderpublic/Papers/LS-

1988.pdf (retrieved 25 July, 2008)

Felder, R.M. and Soloman, B.A., 1997, Index Learning Styles Questionnaire.

Retrieved 28 July 2008, from http://www.engr.ncsu.edu/learningstyles/ilsweb.html

Honey, P. & Mumford, A. (1992). The Manual of Learning Styles. Maidenhead

: Peter Honey Publications.

Kolb, D. A. (1976). The Learning Style Inventory: Technical Manual. Boston: McBer & Company. Gardner, H (1983). Frames of Mind: The Theory of Multiple Intelligences. New York: Basic.

Unlik K. S. (2005). If Advising is teaching, then learning style matters. NACADA

Clearing House of Academic Advising Resources. Retrived – 15/02/2009

– from http://www.nacada.ksu.edu/clearing house/advising/issues/Mental-

Health.htm

Zywmo, M.S. (2003). A Contribution to Validation of Score Meaning for Felder- Soloman’s Index of Learning Style. Proceeding of the 2003 American Society for Engineering Education, Nashville, Tenesse

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