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Procedia - Social and Behavioral Sciences 232 ( 2016 ) 389 – 395

ScienceDirect

1877-0428 © 2016 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Peer-review under responsibility of the organizing committee of GlobELT 2016 doi: 10.1016/j.sbspro.2016.10.054

International Conference on Teaching and Learning English as an Additional Language,

GlobELT 2016, 14-17 April 2016, Antalya, Turkey

The Relationship between Learning Modalities and Perceived

Self-regulation Levels

Berna Güryay

a,

*

aDokuz Eylül University, Buca Faculty of Education, øzmir 35150, Turkey

Abstract

Recent English Language teacher education programmes place a great responsibility on learners to self-regulate their learning. Therefore, it is quite important to know pre-service English teachers’ learning modalities and perceived self-regulation preferences. This paper investigates the self-regulation strategies and learning modalities of English Language Teaching (ELT) students of a state university and aims at exploring whether there is any statistically significant relationship between learning modalities and self regulation levels of these students. In the scope of this study, “Perceived Self Regulation Scale” (Arslan & Geliúli, 2015) and “Learning Modality Inventory” (ùimúek, 2002) were administered to 121 pre-service English Language teachers at university during the fall term of 2015-2016 academic year. The findings indicated that there is a positively significant relationship between self-regulation means and aural learning means. What is more, most of the ELT students in the sample group were found to be visual.

Keywords: Perceived self-regulation, learning modalities, learning styles, English Language Teaching, teacher training

1. Introduction

This study aimed to identify whether there is a relationship between learning modalities; namely, sensory learning styles and perceived self regulation levels of English language teacher candidates. According to this purpose, two variables were used; the first one was VAK learning styles which include visual, auditory, and kinaesthetic; the second one was self-regulation.

* Corresponding author.

E-mail address: [email protected].

© 2016 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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Student-centred educational systems give a crucial role to learners to monitor their learning processes. Therefore, it is of vital importance to know students’ learning styles and their self-regulation. This necessity is even more valid for teacher education programs because teacher candidates will be models for their students. As Bembenutty, White and Vellez (2015: ix) suggest, “Self-regulation of learning is known to be important for students in general, but also for teacher candidates and in-service teachers. Learning how to teach is not enough; teachers need to learn how to learn. Teacher education programs can be important contributors to the presence of self-regulated teachers in the classroom”.

Nomenclature

A Learning style: Learning styles are personal characteristics which exhibit how an individual perceives and reacts to the educational environment.

B Learning modalities: Learning modalities are the sensory preferences of the individuals to give, receive and store information. They can be classified under three headings; visual, auditory and kinaesthetic.

C Self-Regulation: Self-regulation of learning refers to students’ self-generated ideas, feelings, and actions that are systematically designed to affect learning of knowledge and skills (Zimmerman, 2000)

1.1. The aim of the study

This paper examines the different learning styles and self-regulation levels of the English language teacher trainees in the last year of their department and it tries to answer the following research questions;

1. What are the self-regulation levels of the participants? 2. What is the dominant learning style of the participants?

3. Is there a significant relationship between self-regulation and kinesthetic learning style means? 4. Is there a significant relationship between self-regulation and aural learning style means? 5. Is there a significant relationship between self-regulation and visual learning style means?

1.2. The limitations of the study

This study is limited to 85 fourth year students in Dokuz Eylül University, English Language Teaching Department in 2015-2016 Spring terms. The scope of this study is self-regulation and learning modalities; the modalities considered are visual, audial and kinaesthetic.

2. Theoretical Background

2.1. Self-regulation

Bandura (2001, p. 13) suggests that “People have the power to influence what they do and to make things happen... The sensory, motor, mad cerebral systems are tools people use to accomplish things that give meaning, direction, and satisfaction to their lives”. The notion of correlative interactions indicates how people can affect their behaviours and environments with their thoughts and beliefs. Important processes that people use for controlling are their self-efficacy and self-regulation. Self-regulation refers to the use of processes that activate and sustain thoughts, behaviours, and affects in order to achieve goals (Schunk & Zimmerman, 1997). To put it differently, it requires taking charge of our own learning by coordinating thinking skills. Self-regulation has three sub functions (Bandura, 1991):

x Self-monitoring of one’s own behaviours.

x Judgment of one’s behaviour in relation to personal standards and environmental circumstances. x Affective self-reaction

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Self regulation are the students’ self generated thoughts, feelings,and actions, which are systematically oriented toward attainment of their goals (Shunk & Zimmerman,1994). Bird ( 2009:4) suggests that “Although theories of self-regulated learning differ, they all broadly define self-regulated learning as a blend of cognitive, metacognitive, motivational, and social factors which effect how a learner approaches academic tasks”.

2.2. Learning styles

“Style” is a term that refers to consistent and rather enduring tendencies or preferences within an individual (Brown, 2000, p. 113). There are numerous classifications of learning styles such as; field dependent-field independent, left and right-brain functioning, ambiguity tolerant-intolerant, reflective-impulsive and so on. Visual and auditory is another dimension of learning. Visual learners prefer reading and studying charts, drawings and other graphic information, while auditory learners prefer listening to lectures (Brown, 2000). Vural (2003: 203) claims that “learning one’s own learning style will be helpful in life and it will give a meaning to that person’s behaviours”.

2.3. Learning modalities

There are many methods in order to assess learning styles. The method used in this study defines the preference in learning style based on the sensory modality in which a student prefers to take in new information. Learning modalities can also be described as learners’ relatively permanent preferences about perceiving information (ùimúek, 2002). The three main sensory modalities are; visual (V), aural (A), and kinaesthetic (K), collectively known as VAK (Wehrwein, Lujan, Di Carlo, 2007). Visual learners like to learn via visual channel (Gholomi & Bagheri, 2013). The visual preference includes forms of symbols, diagrams, charts, maps that people use to represent ideas rather than using words (Stowe & Clinebell, 2015). Aural modality describes a preference for information that is heard or spoken. Kinaesthetic modality refers to perceptual preference related to the use of experience and practice.

3. Methodology

3.1. Sample Group

The sample of this study was formed by all the seniors in Dokuz Eylül University, English Language Teaching Department in 2015-2016 Spring term. 85 out of 121 instruments were returned in a completed way. Therefore, some of the students were missed and the total number of the students decreased to 85. The sample was constituted of 23 males and 62 females.

3.2. Data Collection Instruments

In data collection two instruments, which the participant filled in their mother tongue, were used with a short demographic information part at the beginning. The detailed information related to these instruments is introduced below:

3.2.1. Perceived Self-regulation Scale

Perceived Self-regulation Scale (Arslan & Geliúli, 2015) is a five-point-likert type scale consisting of 16 items. The reliability degree of this scale is .90 in total. The Kaiser-Meyer-Olkin (KMO) degree has been found as .95 and Barlett test result has been found as 2388.664. These findings related to the reliability and validity of the scale indicates that “Perceived Self-Regulation Scale” (Arslan & Geliúli, 2015) is both valid and reliable to be administered.

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3.2.2. BIG Learning Modalities Inventory:

This inventory which was developed by ùimúek (2002) consists of 48 items and it tests three learning modalities, namely; visual, auditory and kinaesthetic. In the analysis done for BIG16 inventory, KMO value has been determined as 0.722 and Bartletts result has been found as 4068,933. The Barlett Test result is significant at the degree of .000. These findings indicate that sample group number is sufficient and the data is suitable for doing factor analysis. CronBach-Alpha reliability value in the whole inventory has been found as .844. The reliability degree for each dimension has also been accounted. According to this analysis, the reliability degree of visual dimension is .793, whereas it is .771 for auditory and .684 for kinaesthetic dimension. All in all, the assessment tool has been considered as reliable. Each three dimensions of the scale consists of 16 items. The range of the items in the inventory according to learning modalities can be seen below:

Visual modality: 2, 4, 6, 12, 14, 20, 25, 28, 30, 35, 36, 37, 40, 43, 46, 48 Auditory modality: 1, 3, 8, 9, 13, 17, 21, 22, 26, 29, 31, 33, 39, 42, 44, 47 Kinaesthetic modality: 5, 7, 10, 11, 15, 16, 18, 19, 23, 24, 27, 32, 34, 38, 41, 45

This inventory is suitable for determining learning modalities of students who are at the age range of 16 to 25 (ùimúek, 2002).

3.3. Analysis of the Data

In the analysis of the data, Pearson correlation and some descriptive statistics (means and frequency) were used. Self regulation inventory was scored as 1,2,3,4,5. In the analysis of the learning modality inventory, items were also graded as 1,2,3,4,5 instead of the scoring type ùimúek (2002) suggests as -2,-1,0,1,2 because it was decided that this will cause a problem in Pearson correlation.

4. Findings

In this part, the findings related to the learning modalities of the students and the relationship between self-regulation and different learning modality scores are given. Besides, whether these relations are statistically significant or not is also discussed.

4.1. Findings related to statistics of the sample group in relation to their learning modalities

Table 1. Descriptive statistics of the sample group in relation with their learning modalities Learning modality type of the participants n Valid percent

Visual 41 48,2 Aural 21 24,7 Kinaesthetic 11 12,9 Aural-Visual 5 5,9 Kinaesthetic- Aural 4 4,7 Kinaesthetic- Visual 3 3,5 TOTAL 85 100

Table 1 indicates the distribution of the participants according to their dominant learning modalities. It clearly shows that most of the participants are visual in the sample group. Furthermore, aural learners are the second highest group. The third dominant learning modality type belongs to kinaesthetic learners according to this descriptive analysis. There are also some students who have the same scores for two learning modalities. These students, in total, constitute %14,1 of the sample group. Aural-visual learners are the fourth highest group; whereas,

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kinaesthetic-aural learners are the fifth group. The last group when the learning modalities are considered is kinaesthetic-visual group.

4.2. Findings related to the relationship between self-regulation and visual learning mean scores

Table 2. Results of Pearson correlation analysis for questioning the relationship between self-regulation mean scores and visual learning modality mean scores

Variable n Mean r p

Self regulation scores

85

60.29

.207 .057

Visual learning modality scores 61.84

Note: ( p<0,01)

There is a positive relationship between self-regulation mean scores and visual learning modality mean scores. The self-regulation mean score is 60,29 and visual learning modality mean score is 61,84. It can be said that there is a positive relationship between these two scores; however, this result is not statistically significant.

4.3. Findings related to the relationship between self-regulation and aural learning mean scores

Table 3. Results of Pearson correlation analysis for questioning the relationship between self-regulation mean scores and aural learning modality mean scores

Variable n Mean r p

Self regulation scores

85

60.29

.443 .000**

Aural learning modality scores 58.45

Note: ( p<0,01)**

There is a positive and statistically significant relationship between self-regulation mean scores and aural learning modality mean scores. The mean score of self regulation is 60,29 and the mean score of learning modality is 58,45. The “p” value is ,000 which indicates that this relation is very significant. This result might indicate that the students who have self-regulation have got used to the teacher-centered classrooms where lectures are frequently used. They have been educated to listen and understand their teachers and be successful in this way. Thus, the students who want to be successful might feel themselves to be aural and highly self regulated. Another explanation can be the fact that aural learning modality is inherently related to self-regulation.

4.4. Findings related to the relationship between self-regulation and kinesthetic learning modality mean scores

Table 4. Results of Pearson correlation analysis for questioning the relationship between self-regulation mean scores and kinaesthetic learning modality mean scores

Variable n Mean r p

Self regulation scores

85

60.29

-075 .497

Kinaesthetic learning modality scores 55.78

Note: ( p<0,01)

There is a negative relationship between self-regulation mean scores (60,29) and kinaesthetic learning modality mean scores (55,78). This indicates that if the self-regulation score is high, the kinaesthetic mean score is low.

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5. Discussion and Conclusion

This study has indicated that the most dominant learning modality is “visual” in ELT department seniors of Dokuz Eylül University in 2015-2016 academic years. This finding is in parallel with a number of studies. Köprülü (2004) also found that the number of visual learners is larger than the number of the students who have verbal; in other words, aural learning style. In her study she states that visual learning methods provide students with more input about the new information. When students have visual images in their minds, this will help them to recall the given information. Dale (cited in Köprülü, 2004) states that most people learn and retain more information when it is given visually rather than aurally. Rossi-Le (1995) concluded that more proficient and older language learners preferred learning visually. This finding can also be related to tendencies of the 21st century’s young generation

who highly utilize smart phones, internet and television. These technological devices necessitate mainly looking and seeing. They do not generally need to listen or move for an effective learning process.

Aural learning mean scores have a significant relationship with self-regulation mean scores of the sample group. This finding might indicate that the students who have self-regulation have learnt the requirements of the era and education system. In today’s society the learners who listen to their teachers’ lectures are generally awarded. This fact is even much more important in second language learners who should listen and speak, as it was the case in the sample group. Therefore, learners who have strong aural modalities might be the ones who are self-regulated. Alternatively, this finding might indicate that the learners who have aural modality have innately higher self-regulation abilities.

Unexpectedly, although it is not statistically significant, it was found that there is a negative relationship between kinaesthetic mean scores and self-regulation mean scores. In other words, the higher the kinaesthetic mean scores, the lower the self-regulation mean scores. This opposite relationship is surprising because it is generally assumed that kinaesthetic people who are good at sports, dancing and drama monitor their own behaviours and have therefore self-regulation. This finding might be related to the fact that in traditional classrooms, academic subjects generally need other learning skills such as reading and writing. The students who are self-regulated have higher academic success (Dent & Koenka, 2015; Zimmerman, 1990). Besides, teacher centered classrooms are still widespread and the students in those classrooms are much more successful in some important areas such as science and mathematics in Turkey (Topçu, 2013). In the light of these, it might be said that the students with high self-regulation are achievement oriented and the path to the achievement is through audio and visual learning modalities in teacher centered classrooms; rather than kinaesthetic learning modality.

In conclusion, the results related to the relationship between self-regulation and learning modalities and the fact that visual learners constituted the majority of the ELT group have been surprising and it might open new subjects of research in second language teaching field.

6. Suggestions

In the light of the findings related to the research questions of the study and the limitations of the study; the following suggestions can be highlighted:

x This study considered only learning modalities; other types of learning styles can also be investigated with regard to their relationship with self-regulation.

x The study was only limited to ELT seniors, thus; the sample of the study can be extended to other departments and age groups.

x The majority of the students were found to be visuals. This finding is surprising since they are all language students who highly need to hear and speak. This choice can be investigated.

x Learning environment varieties that can apply to all kinds of modalities can be added in order to increase self-regulation and achievement.

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References

Arslan&Geliúli (2015). Development of perceived self-regulation scale: Validity and reliability study. Sakarya University Journal of Education,

5/3 (December 2015) ss. 67-74.

Bandura, A.(1991). Social Cognitive Theory of Self-Regulation. Organizational Behaviour and Human Decision Processes 50, 248-287. Bandura (2001). The changing face of psychology at the dawning of a globilazation era. Canadian Psychology 42-1, 12-24.

Bembenutty, White, Vellez (2015). Developing self regulation of learning and teaching skills among teacher candidates. New York, USA, Springer Briefs in Education.

Bird,L. (2009). Developing self-regulated learning skills in young students. Unpublihed PhD thesis, Deakin University, New Zeland. Brown, D. (2000). Principles of language learning and teaching. New York, White Plains, Longman.

Dent, L.A.& Koenka, A.C. (2015). The relation between self-regulated learning and academic achievement across childhood and adolescence: a meta-analysis. Educational Psychology Review, 1-50. Springer Science & Business & Media, New York. DOI 10.1007/s10648-015-9320-8

Gholami, S., Bagheri, M.. Relationship between VAK Learning Styles and Problem Solving Styles regarding Gender and Students' Fields of Study. Journal of Language Teaching and Research, North America, 4, jul. 2013.

Köprülü, Ö. (2004). Learning Styles of Student-Teachers in English Language Departments in Some Faculties of Education with Respect to Foreign Language Learning and Teaching. Unpublished PhD Thesis, Dokuz Eylül University, øzmir,Turkey.

Rossi-Le, L. (1995). Learning styles and strategies in adult immigrant ESL students. In J. Reid (Ed.), Language learning styles in the ESL/EFL classroom (pp. 118–125). Boston: Heinle and Heinle.

Schunk, D. H., & Zimmerman, B. J. (1994). Self-regulation of learning and performance, issues and educational applications.Hove, UK, Lawrence Erlbaum Associates, Publishers.

Schunk, D. H., & Zimmerman, B. J. (1997). Social origins of self-regulatory competence. Education Psychologist, 32, 195-208. ùimúek, N. (2002). BIG 16 Ö÷renme biçemleri envanteri. E÷itim Bilimleri ve Uygulama.1 (1) 33-47.

Stowe, K. & Clinebell, S. (2015) An examination of learning preferences of U.S. and international students, Journal of Teaching in International

Business, 26:4, 258-272.

Topçu, M.S. (2013). The achievement gap in science and mathematics: A Turkish perspective. In Clark, V.J. (Ed.) Closing the achievement gap

from an international perspective. (pp. 193-217). New York, USA, Springer.

Vural, B. (2005). Ö÷renci Merkezli E÷itim ve Çoklu Zeka. østanbul, Turkey, Hayat YayÕncÕlÕk.

Wehrwein,E.A.& Lujan,H.L. & DiCarlo, S.E.(2007). Advances in Physiology Education,31(2), 153-157. DOI: 10.1152/advan.00060.2006 Zimmerman, J.B. (1990). Self regulation and academic achievement: An overview. Educational Psychologist, 25 (1), 3-17.

Zimmerman, B. J. (2000). Attainment of self-regulation: A social cognitive perspective. In M.Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.),

References

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