• Tidak ada hasil yang ditemukan

A comparison of group learning-style profiles

N/A
N/A
Protected

Academic year: 2024

Membagikan "A comparison of group learning-style profiles"

Copied!
9
0
0

Teks penuh

(1)

A comparison of group learning-style profiles;

construction students, law students & student teachers

1. INTRODUCTION

If the extent of the literature is an indicator, educationalists believe that student learning styles are important (see Coffield et al, 2005 for an extensive review). One stream of the literature argues that within all groups there is a diversity of individual learning-style profiles (Boyle, 2000; Anderson, 1995). Other scholars argue that students who undertake higher education in a defined ‘occupational’ area, such as engineer or chemist, have common learning preferences indicating a ‘group learning-style profile’ (Felder & Brent, 2005;

Dalgety & Coll, 2005; Hake, 1998).

One way of providing some clarity on this issue would be to compare different studies that used a common survey instrument such as PEPS (Desmedt & Valcke, 2004). Rita Dunn has worked with a number of other scholars over the years to develop a variety of learning-styles instruments for learners of all ages (Dunn & Griggs, 2000). The Productivity Environmental Preference Survey (PEPS) was developed for learners in higher education (Price, 1996).

PEPS has been used widely and may be popular because the survey:

• covers a wide range of cognitive learning attributes

• includes environmental learning preferences

• measures preferences in a non-stigmatic manner.

Specific discipline research has used the PEPS. These studies include construction students (Panko et al, 2005), trainee teachers (Honigsfeld & Schiering, 2004) and law students (Boyle, 2000). A comparison of the data from these studies may support the view that there are discipline specific group learning-style profiles.

The balance of this paper will discuss the results of the PEPS data from the three research projects. The discussion begins with an outline on the nature of the PEPS instrument. Section three will provide an analysis of four PEPS factors pertaining to the three occupational group studies. Section four discuss the PEPS factors that suggest group learning-style profiles. The Conclusion will also list the limitations of this discussion and suggest topics for further research.

2. PRODUCTIVITY ENVIRONMENTAL PREFERENCE SURVEY – PEPS

Table 1. PEPS: 5 Dimensions And 20 Factors

PEPS Dimension PEPS Factor

Environmental noise, light, temperature, design Perceptual auditory, visual, tactile, kinaesthetic

Physiological morning, late morning/early afternoon, late afternoon, evening, needs mobility Psychological motivation, persistence, responsibility, structure

Sociological with peers/alone, authority figure, several ways Source: G. E. Price (1996).

Explanations of the construction and features of the PEPS factors are found in an extensive literature. For example, both Price (1996) and Dunn & Griggs (2000) provide comprehensive explanations and illustrations. This discussion in this paper will be limited to comparing the data sets.

1 of 9

(2)

The PEPS consists of a 100-item questionnaire based on 20 factors (Price, 1996). The factors fall into five dimensions as noted in table 1. The questionnaire responses are analysed to produce a score for each of the 20 factors, rendering a mean of 50 and a standard deviation of 10. For each of the factors, a score of one standard deviation above or below the mean

indicates an element that is significant for the respondent. Factors which fall in the ‘low’ 20 to 40 and ‘high’ 60 to 80 ranges are the factors significant for individual learning-style profiles (Price, 1996). Scores between 40 and 60 indicate some other mediating element (Pheiffer et al, 2005) and this is the range for the majority of the PEPS factors for the majority of individuals (Dunn & Griggs, 2000).

The discussion in this paper will focus on only five of the 20 factors as these seem to be the factors in which there is significant similarity or difference amongst the three occupational groups. Four factors, responsible, authority figures, alone/peers and structure will be discussed in section 3. The several ways factor will be discussed in section 4.

However, as with all proprietary surreys, the language used in PEPS is somewhat arcane.

Thus, in reporting the findings scholars take some liberties in adapting the words to provide a more accessible discussion. For example, the ‘responsibility’ factor aims to show the

preference or not for conformity to instruction, and as would be expected, most of the

literature uses ‘conformity’ rather than ‘responsibility’ (Boyle & Dunn, 1998, p.225). Table 2 indicates that this paper follows the ‘re-naming’ practice as noted for the four factors to be compared.

Table 2. Definitions Of Low And High Scores For Four PEPS Factors PEPS factor Factor name in

this paper >40 Low score <60 High score

Responsible Conformity A low score means that a learner is less willing to follow instructions and prefers to carry out tasks they have initiated themselves.

A high score means that a learner is willing to follow instructions and will normally attempt to complete the required tasks.

Authority Figures

Learning close to authority figures

A low score indicates the learner prefers to

‘get on with it’ and does not want continuous guidance.

A high score indicates that learners prefers to work with an instructor or expert present or directly guiding them.

Alone/Peers Learning alone or with peers

A low score indicates that a learner prefers to work alone and may find the company of others distracting.

A high score indicates a strong preference for learning with peers because talking aids learning and understanding.

Structure Structure A low score indicates that the learner prefers to work out the details of a task and prefers to interpret the necessary requirements.

A high score implies that the learner wants the instructor to provide a large amount of detail so that no interpretation is required. Learners need timelines, itemised resource lists, and criteria for successful completion of tasks.

Source: A. Honigsfeld & M. Schiering (2004); D. A. Boyle & R. Dunn (1998); G. E. Price (1996).

3. COMPARISON OF DATA FROM THREE STUDIES

This section will compare that data that are available for three studies of student learning- styles. These three discipline specific studies used the PEPS; construction students (Panko et al, 2005), trainee teachers (Honigsfeld & Schiering, 2004) and law students (Boyle, 2000).

The comparison of the data from these studies is being undertaken to see if there is support for the contention that there are discipline specific group learning-style profiles.

2 of 9

(3)

Figures 1 and 2 provide the comparative data sets from all three studies for all 20 PEPS factors. However, as noted above only five of the factors (four in section 3 and one in section 4) will be discussed in this paper.

Figure 1. Comparing Construction, Law & Teaching Students: Scores Under 40 For 20 PEPS Factors Comparison score <40

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

Noise Light Temperature Design Motivation Persistent Conforming Structure Alone/Peers Authority Several Ways Auditory Visual Tactile Kinesthetic Intake Time of day Late morning Afternoon Mobility

Construction (153) Law (118) Teaching (206)

Source: Table 3; A. Honigsfeld & M. Schiering (2004); D. A. Boyle (2000).

Figure 2. Comparing Construction, Law & Teaching Students: Scores Over 60 For 20 PEPS Factors Comparison scores >60

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

Noise Light Temperature Design Motivation Persistent Conforming Structure Alone/Peers Authority Several Ways Auditory Visual Tactile Kinesthetic Intake Time of day Late morning Afternoon Mobility

Construction (153) Law (118) Teaching (206)

Source: Table 3; A. Honigsfeld & M. Schiering (2004); D. A. Boyle (2000).

American student teachers

Honigsfeld and Schiering (2004) collected data for learning teachers over a period of years (1999-2002). Students taking the same course at Molloy College in the Fall and Spring semesters completed the PEPS. Data have been aggregated for 206 participants. The PEPS was administered to help students expand their view of learning preferences, because of the desire of the College to graduate teachers able to serve a diverse student cohort.

American law students

Two groups of first year law school students for the same course (42 in 1996 and 76 in 1997) completed the PEPS (Boyle, 2000). The survey was administered to test the hypothesis that law students would have similar learning styles because they were ‘pursuing a career in a single field’ (Boyd & Dunn, 2001, p. 224).

3 of 9

(4)

New Zealand construction students

In a 2005 study, students enrolled in a variety of courses leading to careers in the construction industry completed the PEPS (Panko et al). The sample of 153 students included respondents from three New Zealand tertiary institutions in three cities and 12 classes. These data were part of a larger study into the learning-styles of the New Zealand construction industry which aimed to develop a construction industry teaching model. The data set used in this paper is listed in table 3.

Table 3. Data For Peps Factors For New Zealand Construction Students (153) PEPS Factors Low >40 High <60

Noise 2.0% 19.0%

Light 7.2% 3.9%

Temperature 5.2% 10.5%

Design 14.4% 5.2%

Motivation 11.8% 1.3%

Persistence 3.3% 7.8%

Responsibility 27.5% 0.7%

Structure 0.7% 42.5%

Alone/Peers 3.3% 34.6%

Authority Figures 0.7% 27.5%

Several Ways 34.0% 0.7%

Auditory 3.3% 21.6%

Visual 13.7% 3.3%

Tactile 0.0% 19.0%

Kinaesthetic 2.6% 3.3%

Food Intake 0.7% 23.5%

Time of day 7.8% 5.2%

Late Morning 9.8% 9.2%

Afternoon 5.2% 17.0%

Mobility 2.0% 13.7%

Table 4 lists the data for the four PEPS factors in the three studies will be compared. The analysis will focus on the occupational implications of preferred learning styles as well as the implications for teachers concerning both theory and practice.

Table 4. Comparison Of Four PEPS Factors In Three Occupational Groups PEPS Factors

low <40 Construction

(153) Law

(118) Teaching

(206) PEPS Factors

high >60 Construction

(153) Law

(118) Teaching (206)

Conformity 27.5% 24.6% 14.0% Conformity 0.7% 12.7% 20.3%

Learning close to authority figures

0.7% 4.2% 8.3%

Learning close to authority figures

27.5% 27.1% 28.6%

Learning alone or with peers

3.3% 27.1% 23.3%

Learning alone or with peers

34.6% 11.0% 20.8%

Structure 0.7% 1.7% 2.4% Structure 42.5% 60.2% 64.5%

Source: Table 3; A. Honigsfeld & M. Schiering (2004); D. A. Boyle (2000).

Conformity

Conformity showed an observable variation. In the context of the PEPS, conforming is an indicator of how willing learners are to follow instructions. It might be expected that all groups would have a preference for conforming, considering the restrictions their occupations impose. However, only the student teachers fit this expectation, with one-fifth showing a strong preference for conformity with a high score for 20.3% of the sample.

4 of 9

(5)

A low score indicates that learners are more likely to prefer to make their own choices in their learning. Law students, unexpectedly, indicate a preference for non-conformity (24.6%).

Construction students had the highest level of non-conformity, with almost one third of students having a non-conforming preference and fewer than 1% of respondents preferring a willingly to follow instructions.

The high levels of preference for non-conformity seem to contradict the data for two other factors - learning close to authority and structure - both of which have high levels of preference in all groups. One explanation for these figures may be provided by Boyle &

Dunn (1998, p.239). They claim that students are non-conforming because they are un- interested in the material. Another way of interpreting the data may be that student teachers find their course materials relevant while construction and law students believe the material presented is irrelevant.

Boyle and Dunn (1998, p.239) also suggest that non-conformity is an indicator that students do not believe they can ‘master’ the material. Some authors suggest that students need to have course material presented in a variety of information accessing modes so they do not fall into the trap of believing that they cannot master the material (Bligh, 2000; Anderson et al, 1995; Fleming, 1995). If that is the case, then the implications of high scores for the PEPS non-conforming factor may be related to how course material is presented (McLoughlin, 1999). For example, it may be that course material being presented in non-preferred information accessing modes accounts for the myth that construction students are ‘as thick as’ (Swoboda & Cieslik, 1997).

Learning close to authority figures

All three groups have indicted a similar preference for this factor. The clear preference for close to one third of students in all three groups is for an authority figure to be involved in their learning process (Choudhury, 2002). As all three of the occupations are under some form of regulatory control, this preference would appear to be useful career function.

Only a minority of students from all groups would rather not have an authority figure involved. The percentage of students in each discipline varies considerably; less than 1% of construction students, 5% of law students and 9% of teachers. Even though the numbers appear to increase dramatically between groups, the proportion of learners who prefer the absence of authority figures is small compared to the proportion of students in each group who prefer teachers and experts to be present.

However, it is difficult to know if these numbers reflect the high level of first year students in the studies. First year students may lack confidence in the higher education environment and therefore desire more support (Betts & Liow, 1993). It may be that the students will develop into ‘independent learners’ as they continue through to the end of their programs, thus diminishing this learning preference (Marshall, 2006). If this is not the case, then a rethink on the objectives of HE education might be in order (Pheiffer, et al, 2005; Pratt, 2002).

Learning alone or with peers

The learning style of the construction students appears to be well-suited for their career expectation. Very few prefer to learn alone, well over a third, 34.6%, have a preference for working with peers. Almost one quarter, 23%, of teachers also have a preference for learning with their peers (Styhre, 2006; Choudhury, 2002; Terenzini, et al, 2001). The number of law

5 of 9

(6)

students, 11%, with the preference of learning with their peers is significantly lower than for either construction or teaching students.

Almost 30% of the law student sample prefer to learn alone. This figure might reflect the competitive nature of entry into law schools and the competitive nature of the profession (Boyle, 2000). Almost one quarter of teaching students also prefer to learn alone. The high level of teacher preference for learning alone does suggest that these students are on their way to becoming ‘independent learners’ (Maarshall, 2006). However, it might be problematic for the students in light of the desired outcome of their College to have teachers who ‘develop collaborative relationships’ (Honigsfeld, & Schiering, 2004, p.494).

Structure

The PEPS factor structure indicates a preference for detailed and explicit information concerning the where, how and when of any course. A high proportion of learners in all groups in this comparative research indicate a strong preference for a comprehensive structure for their learning. Although the figure for construction students, 42.4%, appears high, it is far short of the 60.2% of law students and the almost two-thirds (64.5%) of training teachers. As with preference for the PEPS factor of working closely with teachers or experts, it could be argued that all occupations are highly regulated so that students who prefer high levels of structure are well suited to their career choices.

A low score indicates that the learner prefers a higher degree of flexibility and personal choice in their learning tasks. However, the number of students in all three studies is so small that the data seems to be unbelievable. Percentages like these (.07, 1.7, 2.4) go against the theory of independent learning expected by students in higher education. If these data are accurate, then there are significant implications for the concepts of student-directed pedagogy and independent learning (Dowdle, et al, 2003; Pratt, 2002).

4. POSSIBLE OCCUPATION SPECIFIC GROUP LEARNING-STYLE PROFILES One of the PEPS factors, Several Ways, is indicative of the preference for a student to adapt to learning as the circumstances dictate (Price, 1996). A low score means that the learner DOES NOT prefer to learn in a variety of ways. A low score indicates a learner DOES prefer to learn in ONE specific way (based on a set of internal and external factors). Therefore, it could be argued that this PEPS factor is a proxy for a group learning-style profile.

The data for the PEPS factor Several Ways, as noted in Table 5, informs the discussion of possible occupational group learning-style profiles in this paper.

Table 5 Comparison Of The PEPS Several Ways Factor For Three Occupational Groups PEPS Factors

<40

Construction (153)

Law (118)

Teaching (206)

PEPS Factors

>60

Construction (153)

Law (118)

Teaching (206) Several

Ways 34.0% 4.2% 20.8%

Learning in a variety of ways

0.7% 5.1% 4.9%

Source: Table 3; A. Honigsfeld & M. Schiering (2004); D. A. Boyle (2000).

New Zealand Construction Students

A significant proportion, 34.0%, of construction students in the Panko et al (2005) study have a preference for learning in only one way. It could therefore be argued that other significant PEPS factors are the basis of a construction group learning-style profile. These factors include a preference to learn with peers (34.6%) in the presence of teachers or experts

6 of 9

(7)

(27.5%) and through highly structured course content with detailed task requirements (42.5%). In addition the group learning-style profile must take into account the high percentage of students (27.5%) who are ‘non-conforming’ who may prefer their course material not to be presented in the traditional lecture format (Harfield et al, 2007; Choudhury, 2002; Pratt, 2002).

American Student Teachers

Analysis of the data presented by Honigsfeld & Schiering (2004) indicates that teaching students also have a significant (20.8%) proportion of learners with a preference for learning in a specific way. The learning teachers group learning-style profile includes a willingness to follow instructions (20.3%) supported by teachers close at hand (28.6%) with a preference for a high degree of structure (64.5%). However, learning teaches appear flexible when it comes to social configuration; 23.3% prefer to learn with peers and 20.8% prefer to learn alone.

This comparative research has only focused on five factors but if other PEPS factors had been discussed, student teachers would also have high levels of group learning-style preferences (between 20 and 40%) for six other PEPS factors. Three of the four perceptual factors-- Auditory (30.5%), Tactile (32.5%) and Kinaesthetic (20.3%)-- and four of the environmental factors --Design (20.8%), Food Intake (38.3%) and Mobility (23.7%)-- would have to be taken into account.

American Law Students

Based on the four PEPS factors we compared, no clear group learning-style profile emerges from the data reported by Boyle (2000) concerning law students. A similar proportion of the sample that have a preference for learning in a variety of ways (4.2%) and learning in a specific way (5.1%). Thus, the use of the Several Ways factor as a proxy for a preferred group learning-style profile is not appropriate for this group of law students. This may not be a surprise as the purpose of the study into law student learning-styles was to provide evidence for the diversity of individual learning-style profiles of first year law students who completed the PEPS (Boyle, 2000).

At the same time, if more of the factors are compared, other PEPS factors appear to have significant levels of preference within the sample. For example, 27.1% of students preferred course material to be presented verbally, so that sitting in a traditional lecture theatre listening to a lecture would not be detrimental to their learning. However, surprisingly, 28.0% of the sample also preferred being able to move around and 30.5% preferred to eat and drink while learning, thus suggesting that sitting in a lecture theatre may be problematic (Betts & Liow, 1993).

5. CONCLUSION

Based on only four PEPS factors it does appear to be some basis for the concept of a group learning-style profile. Although there is not an unequivocal group learning-style profile for each of the occupational groups for this small sample, there does appear to be a possibility that certain factors are preferred by a significant portion of students within each group. This short discussion does suggest that more research into the possibility of an occupational group learning-style profile is warranted.

At the same time significant scores for only two of the factors are common to all three occupational groups. A significant number of students from all groups preferred working closely with teachers and all groups preferred a high level of structure. As mentioned earlier

7 of 9

(8)

many of the students were in their first year of higher education, and these preferences would seem normal for an ‘undergraduate student learning profile’. However, in light of the findings it might also be prudent to reconsider the foundations of ‘student-centred’ and ‘independent learner’ pedagogical concepts.

Three additional limitations concerning this study must be mentioned. First, PEPS has been developed over a number of years which means that the definition and implications of each factor continues to evolve. This evolution includes identification of more complexity and linkages between the factors (Honigsfeld & Schiering, 2004). The very simple definitions used in this paper were to enable the comparison and some discussion on the implications of the concept of a group learning-style profile.

Second, this discussion took an uncritical view of the PEPS and again this was done only to provide a framework for analysis of learning-style preference. Other scholars have reviewed the survey factors, and as would be expected there is not a consensus concerning their validity (Coffield, et al, 2005; Cassidy, 2004; Price, 2004). However, it should be noted that much of the literature that supports the PEPS is written by scholars who obtained their degrees using variations of the instrument or were students of Rita Dunn (Lovelace, 2003).

Third, the sample sizes were very small and thus the analysis is only numeric rather than statistical. In the discussion ‘significant’ means large in relation to other numbers, and thus percentages used must be taken as ‘indicative’ rather than evidential.

However, even with these limitations, the data do suggest that a group learning-style exists for construction students. This finding supports the view of a number of scholars over the last half-century that knowledge of student learning preferences could help educators to optimise the learning experience (Price, 2004; McLoughlin, 1999; Cronbach, 1957).

References

Anderson, J. A. (1995). Toward a Framework for Matching Teaching and Learning Styles for Diverse

Populations. In R. R. Sims & S. J. Sims (Eds.), The Importance of Learning Styles: Understanding the Implications for Learning, Course Design and Education (Vol. 64, pp. 69-76). Westport: Greenwood Press.

Betts, M., & Liow, S. (1993). The relationship between teaching methods and educational objectives in building education. Construction Management and Economics, 11(2), 131-141.

Bligh, D. A. (2000). What's the use of Lectures? San Friscisco: Jossey-Bass Publishers.

Boyle, R.A. (2000). Bringing Learning Style Instructional Strategies to Law Schools: You be the Judge. In S A Griggs (Ed) Practical Approaches to Using Learning Styles in Higher Education. Westport, CT, USA:

Greenwood Publishing Group

Boyle, D. A., & Dunn, R. (1998). Teaching Law Students through Individual Learning Styles. Albany Law Review,62, 213-255.

Cassidy, S. (2004). Learning styles: an overview of theories, models, and measures. Educational Psychology, 24(4), 419-445.

Choudhury, I. (2002). Use of reciprocal peer tutoring technique in an environmental control systems course at an undergraduate level. Journal of Construction Education, 7(3), 137-142.

Coffield, F., Moseley, D., Hall, E., & Ecclestone, K. (2005). Should We Be Using Learning Styles? What Research Has to Say to Practice. London: Learning and Skills Research Centre.

Cronbach, L. (1957). How can instruction be adapted to individual differences? In R. Gagne (Ed.), Learning and Individual Differences. Colombus, OH: Merrill.

Dalgety, J., & Coll, R. K. (2005). Students' Perceptions and Learning Experiences of Tertiary-Level Chemistry.

Canadian Journal of Science, Mathematics and Technology Education, 5(1), 61-80.

Desmedt, E., & Valcke, M. (2004). Mapping the Learning Styles "Jungle": An Overview of the Literature Based on Citation Analysis. Educational Psychology, 24(4), 445-464.

8 of 9

(9)

Dowdle, D., Murray, P. E., & Parker, M. (2003). Student Centred Learning: The Keystone of Construction Education. Paper presented at the Proceedings of Building Education and Research CIB W89 Symposium. 9-11 April.

Dunn, R., & Griggs, S. A. (2000). Practical Approaches to Using Learning Styles in Higher Education.

Westport: Bergin & Garvey.

Felder, R. M., & Brent, R. (2005). Understanding student differences. Journal of Engineering Education, 94(1), 57-72.

Fleming, N. D. (1995). I'm different; not dumb. Modes of presentation (VARK) in the tertiary classroom. Paper presented at the Proceedings of the 1995 Annual Conference of the Higher Education and Research Development Society of Australasia (HERDSA).

Hake, R. R. (1998). Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses. American Journal of Physics, 66(1), 64-74.

Harfield, T, K Davies, J Hede, M Panko & R Kenley (2007) ‘Activity-Based Teaching for Construction Students: The Unitec New Zealand Experience’ Emirates Journal for Engineering Research, Special Issue on Teaching Innovation, 12(1) 57-63

Honigsfeld, A. & Schiering, M. (2004). Diverse approaches to the diversity of learning styles in teacher education. Educational Psychology 24(4), pp487-507.

Lovelace, M. K. (2003). A meta-analysis of experimental research studies based on the Dunn and Dunn learning styles model. In R. Dunn & S. Griggs (Eds.), Synthesis of the Dunn and Dunn learning styles model research. New York: St. John's University.

McLoughlin, C. (1999). The implications of the research literature on learning styles for the design of instructional material. Australian Journal of Educational Technology, 15(3), 222-241.

Marshall, L. A. (2006). A Learning Companion: Your Guide to Practising Independent Learning. Frenchs Forest, NSW, Pearson Education.

Murray, M., Langford, D., & Fisher, S. (2003). Dirty construction workers: who you looking at buddy? Paper presented at the Construction Innovation and Global Competitiveness: The Organization and Management of Construction 10th International Symposium, New York.

Panko, M., Kenley, R., Davies, K., Piggot-Irvine, E., Allen, B., Hede, J., et al. (2005). Learning Styles of those in the Building and Construction Sector. Auckland: Unitec New Zealand.

Pheiffer, G., Holley, D., & Andrew, D. (2005). Developing thoughtful students: using learning styles in an HE context. Education + Training, 47(6), 422-431.

Pratt, D. D. (2002). Good Teaching: One Size Fits All? New Directions for Adult & Continuing Education(93), 5-16.

Price, G. E. (1996). Productivity Environmental Preference Survey : an inventory for the identification of individual adult learning style preferences in a working or learning environment : PEPS manual.

Lawrence, KS: Price Systems.

Price, L. (2004). Individual Differences in Learning: Cognitive Control, Cognitive Styles, and Learning Style.

Educational Psychology, 24(5), 681-698.

Styhre, A. (2006). Peer Learning in Construction Work: Virtuality and Time in Workplace Learning. Journal of Workplace Learning, 18(2), 93-105.

Swoboda, L., & Cieslik, T. (1997). Selecting the construction industry as a career: an analysis. Journal of Construction Education, 2(3), 193-210.

Terenzini, P. T., Cabrera, A. F., Colbeck, C. L., Parente, J. M., & Bjorklund, S. A. (2001). Collaborative learning vs. lecture/discussion: students' reported learning gains. Journal of Engineering Education, 123-130.

9 of 9

Referensi

Dokumen terkait

THE EFFECT OF PARENTING STYLE, EMOTIONAL QUOTIENT, DINESS, AND LEARNING STYLE ON THE LEARNING ACHIEVEMENT OF FINANCIAL ACCOUNTING IN GRADE.. ACCOUNTING STUDENT AT SMK NEGERI

The purpose of conducting this research was to find out whether the most dominant type of students learning style in learning speaking and to find out what is the learning

User’s Learning or Style User’s Style is student factors in learning such as, learning style, motivation, and knowledge ability. User learning style should be

This thesis entitled “The Correlation between Students’ Visual Learning Style Preference and Reading Comprehension of Tenth Grade Students at MAN Kunir Wonodadi Blitar in

There were 50% of the students preferred visual as their learning style preference 2 students from 4 students, 75% of the students preferred to auditoria learning style 3 students from

1.4 Research Hypothesis Based on the objective of the study above, the alternative hypothesis of the study is “there is a correlation between English learning style used by fourth

Exploring the Effectiveness of Graphic Organizers on EFL Learners’ Writing Performance Across Different Learning Style Preference and Gender at Higher Education Sabarun

121 Students’ preference learning style and media use in teaching English Uswatun Hasanah IAIN Bone, Bone, Indonesia Ridwan Hamsah IAIN Bone, Bone, Indonesia Corresponding Email: