LEARNING STYLES AND ACADEMIC PERFORMANCE OF STUDENTS IN ENGLISH AS A SECOND-LANGUAGE CLASS IN IRAN

Similar documents
The Learning Style of MBA Students

Preferred Learning Styles for Respiratory Care Students at Texas State University San Marcos

Learning and Teaching Styles in Language, Science and Technology Education in Nigeria.

Automotive Technology Student Learning Styles and Their Implications for Faculty. Mark D. Threeton Richard A. Walter The Pennsylvania State University

LESSON 7: LEARNING MODELS

Learning theories Judy McKimm

Learning styles of nurse anesthesia students related to level in a master of science in nursing program

Kolb s Experiential Learning Model: Enlivening Physics Courses in Primary Education

An Investigation into Visualization and Verbalization Learning Preferences in the Online Environment

TEACHERS AS ROLE MODELS FOR STUDENTS LEARNING STYLES

Supporting Different Learning Styles in an Online Learning Environment: Does it Really Matter in the Long Run?

Shifting focus from teaching to learning: Learning leadership from improvising jazz bands (ITL92)

EFFECTS OF LEARNING STYLES ON STUDENTS PERCEPTIONS OF ENTREPRENEURSHIP COURSE RELEVANCE AND TEACHING METHODS

ARE STUDENTS LEARNING STYLES DISCIPLINE SPECIFIC?

Running Head: Learning Styles NORTHWESTERN STATE UNIVERSITY. A Review of Learning Styles SUBMITTED TO DR. AUGUSTINE AMENYAH

EFL LEARNERS PERCEPTIONS OF USING LMS

An Investigation into the Preferred Learning Styles of Accounting, Management, Marketing, and General Business Majors

Are Learning Styles a Good Predictor for Integrating Instructional Technology Into a Curriculum?

Chapter 2 REVIEW OF RELATED LITERATURE

A Study in Learning Styles of Construction Management Students. Amit Bandyopadhyay, Ph.D., PE, F.ASCE State University of New York -FSC

AERA American Educational Research Association 2000, New Orleans: Roundtable

A Study of Language Learning Strategies Used by College EFL Learners in Taiwan

Learning Style and Behavior Analysis A Study on the Learning Management System Manhali

PRE-SERVICE SCIENCE AND PRIMARY SCHOOL TEACHERS PERCEPTIONS OF SCIENCE LABORATORY ENVIRONMENT

The Role of Community in Online Learning Success

Effects of Teaching through Online Teacher versus Real Teacher on Student Learning in the Classroom

The Effect of Explicit Feedback on the Use of Language Learning Strategies: The Role of Instruction

THE BARRIERS AND NEEDS OF ONLINE LEARNERS

Recommended Course Sequence MAJOR LEADING TO PK-4. First Semester. Second Semester. Third Semester. Fourth Semester. 124 Credits

Adult Learning Theories and Practices 1

Practicum Manual. Revised March What is a Practicum? What is the Academic Legitimacy of Learning by Doing?

Implementing Kolb s Learning Styles into Online Distance Education

How to Develop a Research Protocol

The effects of beliefs about language learning and learning strategy use of junior high school EFL learners in remote districts

PSY 670, Workshop in Psychology II: EDUCATIONAL PSYCHOLOGY (Graduate Version) Phone:

Running head: SAMPLE FOR STUDENTS 1. Sample APA Paper for Students Interested in Learning APA Style 6th Edition. Jeffrey H. Kahn

Motivational Orientations of Turkish EFL Students: The Case at a State University 1

The Effect of Flexible Learning Schedule on Online Learners Learning, Application, and Instructional Perception

How To Evaluate The Effectiveness Of A Training Workshop In Aniran

ANALYSIS OF TRAINING COMPONENTS EFFECTING ON STUDENTS ENTREPRENEURSHIP CAPABILITIES IN IRANIAN AGRICULTURAL SCIENTIFIC-APPLIED HIGHER SYSTEM

ijcrb.com INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS JULY 2014 VOL 6, NO 3

PRINCIPLES OF EDUCATION

The Advantages and Disadvantages of Computer Technology in Second Language Acquisition

Cognitive Behavior Group Therapy in Mathematics Anxiety

The Advantages and Disadvantages of Computer Technology in Second Language Acquisition

A CASE STUDY COMPARISON BETWEEN WEB-BASED AND TRADITIONAL GRADUATE LEVEL ACADEMIC LEADERSHIP INSTRUCTION

AN ELECTRONIC LEARNING ENVIRONMENT FOR APPLIED STATISTICS: QUALITY CARE AND STATISTICS EDUCATION IN HIGHER EDUCATION

LEARNING THEORIES Ausubel's Learning Theory

The Relationship between Ethnicity and Academic Success in Online Education Courses

PERCEPTION OF BUILDING CONSTRUCTION WORKERS TOWARDS SAFETY, HEALTH AND ENVIRONMENT

ATTITUDES OF ILLINOIS AGRISCIENCE STUDENTS AND THEIR PARENTS TOWARD AGRICULTURE AND AGRICULTURAL EDUCATION PROGRAMS

The Impact of Input Enhancement through Multimedia on the Improvement of Writing Ability

High School Psychology and its Impact on University Psychology Performance: Some Early Data

Evaluating the Teacher Effectiveness of Secondary and Higher Secondary School Teachers

Learning Styles and Overall Academic Achievement in a Specific Educational System

A Proposed Collaborative Computer Network-Based Learning Model for Undergraduate Students with Different Learning Styles

Using hemispheric preference as a predictor of success in a limited-residency information systems doctoral program

Model for E-Learning in Higher Education of Agricultural Extension and Education in Iran

Work experience and learning: a case study of MBA students

An Investigation on Learning of College Students and the Current Application Situation of the Web-based Courses

STATE UNIVERSITY OF NEW YORK COLLEGE OF TECHNOLOGY CANTON, NEW YORK COURSE OUTLINE PSYC 350 EDUCATIONAL PSYCHOLOGY

TRIPURA BOARD OF SECONDARY EDUCATION. SYLLABUS (effective from 2015) SUBJECT : PSYCHOLOGY (Class XII)

Whole-Brain Paths to Language Learning: An English Instruction Model

Attitudes Toward Science of Students Enrolled in Introductory Level Science Courses at UW-La Crosse

Instructor and Learner Discourse in MBA and MA Online Programs: Whom Posts more Frequently?

Al Ahliyya Amman University Faculty of Arts Department of Psychology Course Description Psychology

Department of Psychology

An Introduction to Pedagogy and Learning Styles

Knowledge Management & E-Learning

ACADEMIC DIRECTOR: Carla Marquez-Lewis Contact: THE PROGRAM Career and Advanced Study Prospects Program Requirements

Effects of Computer Animation Package on Senior Secondary School Students Academic Achievement in Geography in Ondo State, Nigeria.

Kolb Learning Style Inventory On-line (Version 3.1): Interpretive Report

The Relation between Life Long Learning Tendency and Leadership Level of Education Managers

A SURVEY OF K-12 TEACHERS

Predictors of Attitude of College Students Towards use of Computers

Treatment Satisfaction among patients attending a private dental school in Vadodara, India

Incorporating service learning into college fitness classes

Chapter 2. Applying Principles of Adult Learning A. Domains of Learning 1. Cognitive learning Refer the student to resources

Abstract Title: Identifying and measuring factors related to student learning: the promise and pitfalls of teacher instructional logs

Factors Influencing a Learner s Decision to Drop-Out or Persist in Higher Education Distance Learning

An Examination of the Association Between Parental Abuse History and Subsequent Parent-Child Relationships

Learning Styles of First-Semester Baccalaureate Nursing Students: A Literature Review

MARKETING STRATEGIES FOR RECRUITING 4-H MEMBERS IN WEST VIRGINIA. Gary J. Wingenbach, Assistant Professor Mississippi State University

The Influence of Learning Styles on Learners in E-Learning Environments: An Empirical Study

The Role of Motivation in Learning English Language for Pakistani Learners

How To Understand The Reactions Of Students Of The Layout And Graphics Design In Computer Course

The Effect of the After-School Reading Education Program for Elementary School on Multicultural Awareness

Transcription:

Bulgarian Journal of Science and Education Policy (BJSEP), Volume 7, Number 2, 2013 LEARNING STYLES AND ACADEMIC PERFORMANCE OF STUDENTS IN ENGLISH AS A SECOND-LANGUAGE CLASS IN IRAN 1 Soghra AKBARI CHERMAHINI, 2 Ali GHANBARI, 2 Mohammad GHANBARI TALAB 1 Arak University, IRAN 2 Lordegan Payamenoor University, IRAN Abstract. The purpose of this study was to investigate the relationship between learning styles and the academic performance of students who attend an English class to learn English as a second language in Iran. A randomly selected group of 488 high school students (248 male and 240 female) participated in this study. They were asked to fill out the Kolb s Learning Styles Inventory to identify four basic learning types: Accommodating, Diverging, Assimilating, and Converging. Academic performance evaluated by achievement test in the English language. The survey results indicated significant relationships between the different learning styles and the performance in an English test, and the performance resulted differently in four groups with different preferred learning styles. The results also indicated gender differences in the performance in English test for convergent and divergent and did not accommo- 322

date and assimilate preferred learning styles. These results lead us to conclude that learning styles can be considered as a good predictor of any second language academic performance, and it should be taken into account to enhance students performances specifically in learning and teaching the second language, and also showed that individual differences in learning styles play an important role in this domain. Keywords: learning styles, Kolb's learning style theory, academic performance, English language, second language Introduction In recent years the number of English language learners enrolled in the English (as a second language) classes has been on the rise among high school students in Iran, and it has been leading to expand the need to provide special language instructions. Students are different based on their ability in learning motivation levels, and how they respond to instructional practices. The more the students understand the differences the better chance they have to meet their different learning needs. There are two different categories that have had important implications in teaching and learning, including: different learning styles, and different methods (in taking in and processing information), learning approach, and intellectual development levels. In this paper our focus is on the differences in learning styles. A learning style is a student's consistent way of responding to and using stimuli in the context of learning. Keefe (1979) defines learning styles as the composite of characteristic cognitive, affective, and physiological factors that serve as relatively stable indicators of how a learner perceives, interacts with, and responds to the learning environment. Stewart & Felicetti (1992) define learning styles as those educational conditions under which a student is most likely to learn. Thus, they are not really concerned with what learners 323

learn, but rather how they prefer to learn. Learning styles are points along a scale that help us discover the different forms of mental representations; however, they are not good characterizations of what people are or are not like. When people try to learn something new they prefer to learn it by listening to someone talk to them, or perhaps they prefer to read about a concept to learn it, or perhaps see a demonstration. Learning styles can be defined, classified, and identified in many different ways. It can also be described as a set of factors, behaviors, and attitudes that enhance learning in any situation. How the students learn and how the teachers teach, and how the two interact with each others are influenced by different learning styles. Each person is born with certain tendencies toward a particular style, and these biological characteristics are influenced by external factors such as: cultures, personal experiences, and developments. Each learner has different and consistent preferred ways of perception, organization and retention. These learning styles are the indicators of how learners perceive, interact with, and respond to the learning environments. Students have different styles of learning, and they learn differently from one another. Learning style is generally used to explain an individual's natural or habitual pattern of acquiring and processing information in learning situations. Many articles have been written about this concept, yet there is no consensus on its definition; however, a core concept is that individuals differ in how they learn (James & Gardner, 1995). Proponents for the use of learning styles in education said: teachers should assess the learning styles of their students and adapt their classroom methods to best fit each student's learning needs. Although there are ample evidences for differences in individual thinking and ways of processing various types of information, only few studies have reliably tested the validity of using different learning styles in education, and shown that students will learn best if taught in a method deemed appropriate for their learning style (Pash- 324

leret al, 2008). In contract critics said there is no evidence that identifying an individual student's learning style produces better outcomes (Klein, 2003). David Kolb's model David A. Kolb (1984) styles model is based on the Experiential Learning Theory (ELT) as he explained Experience as the source of learning and development. The (ELT) model outlines two related approaches toward grasping an experience: Concrete Experience and Abstract Conceptualization, as well as two related approaches toward transforming experiences: Reflective Observation and Active Experimentation. According to Kolb's model, the ideal learning process engages all four of these modes in response to situational demands. In order to have an effective learning, all four of the above approaches must be incorporated. As individuals attempt to use all four approaches, however, they tend to develop strengths in one experience-grasping approach and one experience-transforming approach. The learning style results are combinations of the individual's preferred approaches. These learning styles include: Converger, Diverger, Assimilator, and Accommodator. 1) Convergers are characterized by abstract conceptualization and active experimentation. They are good at making practical applications of ideas and using deductive reasoning to solve problems. Divergers tend toward concrete experience and reflective observation. They are imaginative and are good at creating ideas and seeing things from different perspectives. Assimilators are characterized by abstract conceptualization and reflective observation. They are capable of creating theoretical models by means of inductive reasoning. Accommodators use concrete experience and active experimentations. They are good at actively engaging with the world and actually doing things instead of merely reading and studying about them. Kolb's model rose the Learning Style Inventory, an assessment method was used to determine an individual's learning style. An individual may exhib- 325

it a preference for one of the four styles Converging, Diverging, Assimilating, and Accommodating depending on (his/her) approach to learning via the experiential learning theory model (Kolb, 1984). Students are characterized by different learning styles, preferentially focusing on different types of information and tending to operate on perceived information in different ways (Schmeck, 1988). To improve learning English as a second language we need more information about the learning styles that students prefer in second language classes. Therefore, in this research we investigated relationship between learning styles and academic performances of students in English as a second language class in Iran. Method Participants, design, and procedure A group of 488 high school students in Iran (248 male and 240 female) who attended an English course, were randomly selected and participated in this study. Participants were asked to fill out Kolb's Learning Styles Inventory, and participate to an achievement English test that was designed by their English instructor to assess their academic performance in learning English as a second language. Instrument: Kolb's Learning Styles Inventory Perhaps one of the best-known and most widely used questionnaires is the Learning Style Inventory (LSI) based on Kolb's learning styles. The LSI can be used purely for self-knowledge so individuals can understand and manage their learning preferences; and is also useful for facilitators/educators, so they can design learning events to appeal to all learning style preferences. The LSI enables people to identify which phases in the learning cycle they prefer and which they avoid. It also helps them to develop practical strategies for completing the full cycle in order to strengthen their overall learning abili- 326

ties. Each of us has a tendency to operate from a preferred phase. But we learn most effectively and completely- when we work through a full cycle, phase by phase. This will enhance our learning and make it have a long term sustained impact on our capabilities. The Learning Style Inventory is a statistically reliable and valid, 12-item assessment tool, developed by David A. Kolb Based on Experiential Learning Theory; it introduces four preferred learning styles: Diverging, Assimilating, Converging, and Accommodating. Kolb Learning Style Inventory which was used in this study is a Selfreport, paper-based in Persian language. Academic performance Academic performance evaluated by achievement test in English (Cranach s alpha= 0.82). The test designed and made by the teacher of English course. Results From the two measurements, five measures were extracted for each participant: Accommodating, Diverging, Assimilating and Converging score in learning style inventory, and academic performance in achievement test in English. From the measures extracted from learning style inventory for each participant one of the four different styles was dominant. So, based on the dominant style we had four groups of subjects with four different learning styles. Table 1 provides an overview of descriptive information of four styles as measured by LSI. As we can understand from Table 1 there are four groups based on the higher score in one of the sub-group of learning styles (preferred style). Preferred learning style for groups 1 to 4 were Accommodating, Diverging, Assimilating, and converging respectively. 327

Table 1. Frequency, means and standard deviations for four different learning styles: Accommodating (AC), Diverging (DI), Assimilating (AS), Converging (CO) Group Descriptive Statistic Index Learning Style AC DI AS CO English Test (n=84) (n=174) (n=140) (n=91) 1 M 21.2 12.7 12.9 13.9 14.47 SD 1.9 2.6 2.3 2.9 3.1 2 M 13.4 21.3 12.8 14 15.64 SD 3.1 1.8 2.8 2.3 2.8 3 M 12.6 12.9 20.9 12.9 16.04 SD 2.7 2.5 2 2.7 2.8 4 M 12.7 12.6 13.5 21.2 14.75 SD 2.9 2.5 3.1 1.2 3.5 Note: English test score are out of 20. The three major questions in this research were: (1) whether the four learning styles would pre-form differently in association with English Test; (2) whether performance in English test is significantly different in subjects associated with four different preferred learning styles; and (3) a) whether there are any significant differences between males and females in preferred learning styles; and b) performance in English test. To answer to the first question, relationships between these measures were assessed by means of correlation coefficients. As the results (coefficients) reported in Table 2 shows performance in English score significantly and negatively correlated with learning styles of accommodating, assimilating, and positively with converging, but not significant correlation with diverging. 328

English Score Table 2. Coefficients and significance levels (** for p<.01 and * for p<.05) for test of relationships (fits) between performance in English test and four learning styles: Accommodating (AC), Diverging (DI), Assimilating (AS), Converging (CO) Learning Style AC DI AS CO English Test -0.15** 0.07 0.1* -0.16** 17 16.5 16 15.5 15 14.5 14 13.5 13 Preferred Learning Style Fig. 1. Performance in English test as a function of four preferred learning styles To answer to the second question a one-way ANOVA was used to test the differences in English test in four preferred learning styles. Results revealed that performance in English test was significantly different among the four groups, F (3,485) = 6.43, p<0.01. Post-hoc Turkey s HSD tests showed that three comparisons were significant: subjects with preferred learning styles 329

English Score of assimilating were significantly better than accommodating and converging, and also diverging was better than accommodating style in English test (Fig. 1). Gender differences in preferred learning styles and performance in English test was tested by means of a two way ANOVA. The results showed that there was significant interaction between gender and preferred learning styles, F (3, 481) = 3.6, MSE=32.7, p< 0.05, η 2 =0.02, as we can see in Fig. 2 no significant main effect for gender was observed, F(1,485)=1.4, MSE=12.59,p> 0.05,η 2 =0.003. There was a significant main effect of preferred learning styles, F (3, 481) = 3.45, MSE=31.2, p< 0.05, η 2 =0.021. 17 16.5 16 Female Male 15.5 15 14.5 14 13.5 13 Preferred Learning Style Fig. 2. Performance in English test as a function of four preferred learning styles for males and females 330

Conclusion It is clear now, that people use different ways to learn new things in their daily lives. And a big group of people who spend a big part of their time in learning are students. There is ample evidence to indicate that matching teaching styles to student's learning styles can significantly develop academic performance, student attitudes, and student behavior at the primary and secondary school level (Griggs & Dunn 1984; Smith & Renzulli 1984), at the college level (Brown 1978; Charkins et al. 1985), and specifically in foreign language instruction (Oxford et al. 1991; Wallace & Oxford 1992). The goal of this study was to investigate relationship between learning styles and academic performance in learning English as a second language in Iranian students. What we have found here lead us to conclude that students use different preferred learning styles to learn a second language. Learning styles also can be considered as a good predictor of academic performance and it should be taken into account to improve students performance specifically in learning a second language. As Smith & Renzulli (1984) concerned that stress, frustration, and burn out may occur when students are subjected to over extended periods of time to teaching styles inconsistent with their learning style preferences. Considering that there are at least four groups students with different learning styles; it is impossible to put them in different classes and teach them with different instructors, so what must be done to improve foreign language learning is to balance teaching methods, and consider all learning styles simultaneously or at least sequentially in the class (Oxford 1990). It is not clear why the performance of some students in English class in this research was better - maybe teaching styles was much with their style of learning accidently. As a result of these findings, further research is recommended in this area. 331

NOTES 1. http://infed.org/mobi/david-a-kolb-on-experiential-learning/ REFERENCES Brown, R. (1978). The effects of congruency between learning styles and teaching styles on college student achievement. College Student J., 12, 307-309. Charkins, R.J., O Toole,D.M. & Wetzel, J.N. (1985). Linking teacher and student learning styles with student achievement and attitudes. J. Economic Educ., 16, 111-120. Griggs, S.A. & Dunn, R.S. (1984). Selected case studies of the learning style preferences of gifted students. Gifted Child Quarterly, 28, 115-119. James, W.B. & Gardner, D.L. (1995). Learning styles: implications for distance learning. New Directions Adult & Continuing Education, Issue 67, 19-31. Keefe, J.W. (1979). Learning style: an overview (pp. 1-17). In: Keefe, J.W. (Ed.). Student learning styles: diagnosing and prescribing programs. Reston: National Association of Secondary School Principals. Klein, P.D. (2003). Rethinking the multiplicity of cognitive resources and curricular representations: alternative to learning styles and multiple intelligences. J. Curriculum Studies, 35, 45-81. Kolb, D.A. (1984). Experiential learning: experience as the source of learning and development. Englewood Cliffs: Prentice-Hall. Oxford, R.L. (1990). Missing link: evidence from research on language learning styles and strategies. In: Alatus, J. (Ed.). Georgetown University Round Table on Languages and Linguistics. Washington: Georgetown University Press. Oxford, R.L., Ehrman, M.E. & Lavine, R.Z. (1991). Style wars: teacherstudent style conflicts in the language classroom (pp. 1-25). In: 332

Magnan, S. (Ed.). Challenges in the 1990 s for College Foreign Language Programs. Boston: Heinle.. Pashler, H., McDaniel, M., Rohrer, D. & Bjork, R. (2008). Learning styles: concepts and evidence. Psychological Science in the Public Interest, 9, 105 119. Schmeck, R.R. (1988). Learning strategies and learning styles. New York: Plenum Press. Smith, L.H. & Renzulli.J.S. (1984). Learning style preferences: a practical approach for classroom teachers. Theory into Practice, 23, 44-50. Stewart, K.L. & Felicetti, L.A. (1992). Learning styles of marketing majors. Educ. Res. Quarterly, 15(2), 15-23. Wallace, B. & Oxford, R.L. (1992). Disparity in learning styles and teaching styles in the ESL classroom: does this mean war. AMTESOL J., 1, 45-68. Dr. Soghra Akbari Chermahini (corresponding author) Department of Psychology, Facylty of Literature and Humanities, Arak University, PO: 38156-8-8349 Arak, Islamic Republic of Iran E-Mail: akbariso@yahoo.com 2013 BJSEP: Authors 333