European Journal of Education Studies
ISSN: 2501 - 1111
ISSN-L: 2501 - 1111
Available on-line at: www.oapub.org/edu
10.5281/zenodo.205417
Volume 2│Issue 12│2016
MECHANICAL ENGINEERING STUDENTS’ LEARNING STYLES
AND THEIR PERCEPTION OF PROFESSION
Cemil Yigit1, Elif Atabek-Yigit2i
Sakarya University, Engineering Faculty,
1
Mechanical Engineering Department, Sakarya, Turkey
Sakarya University, Education Faculty,
2
Science Education Department, Sakarya, Turkey
Abstract:
In this study, it was aimed to explore learning styles of third year mechanical
engineering students and also their perception of profession. Ninety-nine third year
students studying mechanical engineering at a university located southwest of Turkey
were the participants of this study. Data were collected through Kolb Learning Styles
Inventory KLSI and a Word “ssociation Test with the keyword engineer
W“T .
Data obtained from KLSI were used in order to identify the participants learning styles
and data gathered by WAT were used to obtain information about their perception of
their future profession. Four groups, namely assimilators, accommodators, divergers,
and convergers were formed according to analysis of KLSI and W“T s of each group
have examined separately. Conceptualizing of their future profession for each learning
group was visualized by concept maps. It was found that majority of participants have
assimilating and converging learning styles and learning styles have an effect on their
perception of profession.
Keywords: learning styles, Kolb Learning Style Inventory, profession perception,
mechanical engineering students
Introduction
Everyone learns in a different way and the best way one can learn is known as learning
style. Individuals cognitive, affective, and physiological structure which effect to
perception, relations with others, and behavior in learning environment, determines
i
Correspondence: email eatabek@sakarya.edu.tr
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Published by Open Access Publishing Group ©2015.
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Cemil Yigit, Elif Atabek-Yigit MECHANICAL ENGINEERING STUDENTS’ LEARNING STYLES AND THEIR
PERCEPTION OF PROFESSION
their learning style. There are tests and inventories to determine individuals learning
styles and Kolb Learning Style Inventory (KLSI) is one of them. The Kolb Learning Style
Inventory differs from other tests of learning style and personality used in education by
being based on a comprehensive theory of learning and development, namely
Experiential Learning Theory (McLeod 2013). According to this theory, learning is in a
shape of spiral and this spiral has four learning modes namely Concrete Experience
(CE), Abstract Conceptualization (AC), Reflective Observation (RO), and Active
Experimentation (AE). These modes are the ends that are polar opposite of two
dimensions i.e., first dimensions ends are concrete experiencing and abstract
conceptualization and the second one s are active experimentation and reflective
observation Kolb
. “n individual s learning style is not only one of these learning
modes but a combination of them (Askar and Akkoyunlu 1993, Kolb 1981). There are
four learning styles resulting from these combinations and they are assimilators,
accommodators, divergers, and convergers.
Concrete
Accommodato
Divergers
Active Experimentation
Reflective Observation
Converge
Assimilato
Abstract
Figure I: Kolb s learning style categorization
“ssimilators learning modes are abstract conceptualization and reflective observation.
They are good at planning and determination of problems but are ineffective in
systematic applications. They have ability to create theoretical models and inductive
reasoning. They tend to learn by reflecting and thinking and are less interested in
people and more concerned about abstract concepts. Individuals with this learning style
are successful in basic sciences and mathematics but have problems in application. In
working environment, people in research and development departments are usually
assimilators (Askar and Akkoyunlu 1993, Evin-Gencel 2007, Jonassen and Grabowski
1993, Kolb 1984).
Individuals with opposite strengths to assimilators are accommodators. Their
learning modes are concrete experience and active experience. Therefore, they learn
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Cemil Yigit, Elif Atabek-Yigit MECHANICAL ENGINEERING STUDENTS’ LEARNING STYLES AND THEIR
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best while using their experiences they had before. They have abilities in leadership,
initiative, and flexibility but are not good at technical solutions. They are risk-takers,
tend to excel in situations that call for adaptation to specific immediate circumstances.
Accommodators have good interpersonal relations and they tend to learn from people
rather than gathering from technical information. They are successful in fields like
business, education, and communication. Marketing and sales departments of factories
generally have people with accommodator learning style (Askar and Akkoyunlu 1993,
Evin-Gencel 2007, Kolb 1984).
Third type of learning style is divergers. They are best at concrete
experimentation and reflective observation. Individuals with this learning style are
generally patient, objective, and tend to observe rather than to go into action. They are
good at organizing relations between situations and have imaginative ability. They can
view concrete situations from many perspectives. Divergers generally specialize in arts
and have backgrounds in humanities and liberal arts. Counselors, personnel managers,
and organization development consultants have generally this type of learning style
(Askar and Akkoyunlu 1993, Evin-Gencel 2007, Kolb 1984).
Convergers are the fourth type of learning style. Their learning modes are
abstract conceptualization and active experimentation. They have opposite strengths
from those of divergers. Individuals with this learning style are good at practical
applications of ideas and have hypothetical-deductive reasoning. They can learn best by
experimentation and focus on specific problems. Convergers are unemotional and tend
to be interested in things rather than people. They specialize in physical sciences and
many engineers have this type of learning style (Askar and Akkoyunlu 1993, EvinGencel 2007, Kolb 1984).
Figure I illustrates categorization of learning styles according to Kolb. There are
studies in literature that aimed to explore individuals learning styles using KLSI
Cavanagh, Hogan and Ramgopal
, D “more, James and Mitchell
as well as
studies using Kolb learning cycle to improve student learning (Stice 1987) and exploring
students learning styles in different classes (Diaz 1999). In a study by Larkin-Hein and
Budny (2001) authors investigated the learning styles of students in physics and
engineering classrooms and it was reported that Kolb learning style model was
employed successfully with freshmen engineering students. Felder et al (2000) have also
said that Kolb learning cycle was an effective way of teaching for engineering students.
The studies (Carrizosa and Sheppard 2000, Felder & Silverman 1988) that aimed to
explore learning styles of engineering students reported that the majority of
engineering students are predominantly visual, sensing, inductive, and active learners.
“ few studies in literature aimed to explore engineer perception of
individuals. For instance Knight and Cunningham (2004) have studied about the
development of a Draw an Engineer Test , and students from different grades from
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Cemil Yigit, Elif Atabek-Yigit MECHANICAL ENGINEERING STUDENTS’ LEARNING STYLES AND THEIR
PERCEPTION OF PROFESSION
grade to , a total of
students were asked what does an engineer do? and
draw an engineer in workplace . Most of the students replied as the activities an
engineer does as builds (30%) and fixes (28%), meaning that they have a perception of
an engineer as a person who builds buildings (such as construction workers) or fixes
cars (such as auto mechanics). Not many students responded to that question as an
engineer designs (12%), improves (4%), and invents (3%). Data from the drawings for
the engineer at workplace showed that many students (23%) have included tools (e.g.
hammer, wrench), some of them (19%) drew cars, and a few of them (6%) drew a desk
(with pen or pencils). From those results the researchers concluded that many of the
students perceptions about engineers is the person who builds or fixes things and they
relate their perceptions about the working place for engineers with tools and cars,
therefore they have misunderstanding about engineers and engineering profession
though they do not thing engineering as a career. In a report by Marshall, McClymont
and Joyce
top of mind associations with the term engineer showed the
profession to be more closely associated with fixing things rather than creativity,
practical solutions or design.
Studies about perception generally use scales (Dabbagh and Menasce 2006,
Ismail 2013, Misran and Sahuri 2013), interview (Marshall, McClymont and Joyce 2007)
or open-ended questionnaire (Mishkin et al 2016) as data collecting tools. In this study,
different from the literature, perceptions of engineering students about their professions
were collected via Word association Test (WAT). WAT is a technique that aims to
explore cognitive structure as well as perceptions of individuals. In this technique
individuals are asked to respond with a word that comes into their mind first to any
given stimulus word and it is assumed that response words can give a clue about one s
cognitive structures or opinions since response words are in a relation with the stimulus
word in mind (Bahar, Johnstone and Sutcliffe 1999). WAT was used in literature widely
to investigate students cognitive structures “tabek-Yigit 2016, Atabek-Yigit, Yilmazlar
and Cetin 2016, Bahar, Johnstone and Sutcliffe 1999, Bahar and Ozatli 2003, Kostova and
Radoynovska 2008) as well as to determine misconceptions (Ozata-Yucel and Ozkan
2015) and to get information about perception (Ben-zvi-Assarf and Orion 2005). Once
data were obtained with WAT frequency tables can be prepared and concept maps that
visualize individuals cognitive structures or perceptions can be drawn. Cut-off point
technique as offered by Bahar, Johnstone and Sutcliffe (1999) is generally used when
drawing the maps. According to cut-off point technique a number that is 3-5 less than
the most frequent response word is determined as first cut-off point and responses
bigger than this number are drawn in the map. Cut-off point is then lowered step by
step and the full map is then constructed (Bahar, Johnstone and Sutcliffe 1999).
In this study, learning styles of engineering students were identified by Kolb
Learning Style Inventory and four groups, i.e., assimilators, accommodators, divergers,
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Cemil Yigit, Elif Atabek-Yigit MECHANICAL ENGINEERING STUDENTS’ LEARNING STYLES AND THEIR
PERCEPTION OF PROFESSION
and convergers, were formed. Students perceptions about their future profession were
determined through a Word “ssociation Test with engineer as stimulus word. Each
group s perceptions were investigated and findings were compared accordingly.
2. Method
2.1. Participants
Participants of this study were 99 third year students studying mechanical engineering
at a university located at northwest of Turkey. 6% of the participants were female and
94% of them were male. Average age of the participants was 20. They were informed
about the study and participated voluntarily.
2.2. Data Collection Tools
Data in this study were collected through Kolb Learning Styles Inventory (KLSI) and a
Word Association Test (WAT).
a) Kolb Learning Style Inventory (KLSI): KLSI that was originally developed by David
Kolb in 1976, modified in 1985 and translated to Turkish by Askar and Akkoyunlu
was used to gather participants learning styles. In the inventory there are
items with four statements which represents a different learning mode, namely first
statement is for concrete experimentation (CE), second one is for reflective observation
(RO), third one is for abstract conceptualization (AC), and the last one is for active
experimentation (AE). An example item was given as below:
The best way I can learn is;
( ) when I trust my foresights and feelings
( ) when I listen and watch carefully
( ) when I trust my logical thinking
( ) when I work hard to finish the work
Cronbach-alpha reliability coefficients of the four dimensions (learning modes)
of translated form of KLSI are in between 0.58-0.71.
b) Word Association Test (WAT): “ W“T was used to gather participants
perceptions about their professions. It was formed by the researchers using the word
engineer as stimulus word. Stimulus word was written on a page ten times down and
blanks were left to get the response words. The reason for the stimulus word was
written ten times down is to avoid the chain effect in which a response word can be
seen as stimulus word. For instance, if a participant s responses to a stimulus word
jungle were trees-picnic-barbeque-meatball then it could be said that this data
would include chain effect since meatball is related to barbeque (previous response)
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Cemil Yigit, Elif Atabek-Yigit MECHANICAL ENGINEERING STUDENTS’ LEARNING STYLES AND THEIR
PERCEPTION OF PROFESSION
rather than jungle (stimulus word). Data with chain effect cannot be evaluated.
Participants were told to write also a related sentence at the end of the page and
blank was left for that sentence.
2.3. Data Collection Procedure
Data were collected from participants at the end of 2015-2016 spring semester i.e., their
third year at the university. After informing participants about the objectives and
design of the study, data collection tools were explained. Firstly, Kolb Learning Styles
Inventory (KLSI) was given to the participants and they were told to put four
statements for each item in an order in a way that describes their preferences best. The
inventory has 12 items and 10 min was given to the participants to complete the
inventory. “fter completing the inventory, participants papers were collected and then
they were informed about word association technique and the procedure. They were
told to response to the stimulus word with the first word that comes into their minds
and do this ten times for the stimulus word. They were also told to write a sentence
related to that stimulus word at the end of the page. The researcher performed an
example with the stimulus word flower on the whiteboard. Chain effect was
explained and participants were warned about it. Then an example Word Association
Test W“T was performed with stimulus word light in order the participants to
better understand the technique and to obtain more accurate data when administrating
the actual WAT. Participants were told to have 1 min to complete the test. Actual
administration of W“T with the stimulus word engineer was then accomplished. “ll
participants responses were collected and they were thanked for their contribution.
2.4. Data Analysis
Following procedure was performed in order to analyze the data gathered:
a) For the analysis of Kolb Learning Styles Inventory,
Each participant s ordering for each item was entered into an Excel sheet and then for
each participant each learning style scores (total CE, RO, AC, and AE scores, that ranges
between 12 to 48) was found. After that, the following calculation was done and two
combined scores for each participant were calculated.
Score 1: AC-CE
Score 2: AE-RO
Score 1 and 2 ranges between -36 to +36. A positive score in Score 1 shows abstract
learning whereas a negative score shows concrete learning. A positive score in Score 2
means active learning and a negative score means reflective learning (Kolb 1984). Then
by using Kolb s learning styles diagram Figure II learning styles of the participants
were determined.
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Cemil Yigit, Elif Atabek-Yigit MECHANICAL ENGINEERING STUDENTS’ LEARNING STYLES AND THEIR
PERCEPTION OF PROFESSION
AC-CE
AE-RO
Accommodator
27
25
23
21
19
17
15
13
11
9
Converger
7
-27
-25
-23
-21
-19
-17
-15
-13
-11
-9
-7
-5
-3
-1
51 3
3
5
7
9
11
13
15
17
19
21
23
25
27
29
0
10
20
Diverger
30
40
1
-1
-3
-5
-7
-9
-11
-13
-15
-17
-19
-21 50
60
70
Assimilator
80
90
100
100
90
80
70
60
50
40
30
20
10
0
Percentile
Figure II: Learning styles coordinates
b) For the analysis of Word Association Test,
Participants were grouped according to their learning styles and four groups i.e.
accommodators, divergers, convergers, and assimilators were formed. For each group,
each participant s responses to the stimulus word were examined and a list of different
response words with repetition numbers was formed. Hence, frequency tables were
prepared. Then concept maps in order to visualize participants perceptions about their
future profession, i.e. engineer , were drawn by using cut-off point technique that was
suggested by Bahar, Johnstone and Sutcliffe (1999). According to this technique, a
number that is 3-5 lower than the most frequent response to the stimulus word is
determined as cut-off point and the map is drawn by using the response words that
have bigger frequencies than the determined cut-off point. Then cut-off point is lowered
stepwise and hence the map is formed. Related sentences were analyzed
semantically. Two researchers accomplished the analysis separately and their codings
were compared afterwards. An inter-coder agreement of 88%, which shows acceptable
reliability of calculations i.e., higher than 70% according to Miles and Hubermans
criterion (Miles, Huberman & Saldana 2014), was calculated. Related sentences were
categorized into eight groups. A frequency table for each learning style group was then
formed.
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3. Results and Discussion
After analysis, participants learning styles were determined according to KLSI and
given in Table I.
Table I: Learning styles of participants
Learning style
Number of participants
Assimilators
Percentage of participants
40
40.4
7
7.1
Divergers
17
17.2
Convergers
35
35.3
Accommodators
According to Table I, it can be said that most of the participants were assimilators
(40.4%) that have Abstract Conceptualization (AC) and Reflective Observation (RO) as
dominant learning abilities, and convergers (35.3%) that have Abstract
Conceptualization (AC) and Active Experimentation (AE) as dominant learning
abilities. Participants response words to the stimulus word were examined and a
frequency tables for each learning style group were prepared. Based on these tables
number of different response words to the stimulus word by different groups were
given in Table II.
Table II: Participants number of different response words for each learning group
Group
Number of different response words
Assimilators
101 (2.53)
Accommodators
41 (5.86)
Divergers
84 (4.94)
Convergers
135 (3.86)
*Numbers in brackets show the number of different response words per participant
Number of different response words to a given stimulus word can be a clue about one s
conceptualization. If this number increases, it can be said that individual relates the
stimulus word with many response words i.e. conceptualized better (Bahar, Johnstone
and Sutcliffe 1999). In Table II number of different response words were given as well
as the number of different response words per participant in brackets. Since number of
participants in each group was different, it would be better to examine the numbers per
participant. According to this, accommodators have the best conceptualization for
engineer and assimilators have weak conceptualization.
Concept maps for the stimulus word engineer were drawn for each learning
style group by using cut-off point technique and were given in Table III for assimilators,
in Table IV for accommodators, in Table V for divergers, and in Table VI for convergers.
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Table III: Concept map of assimilators
Cut-off
point
≥CP≥
Graph
Calculator
Engineer
Difficult Courses
Machine
Calculator
≥CP≥
Engineer
Software
Vehicle
Maths
R&D
T-Ruler
Designer
Factory
Mechanical Drawing
Analytical Thinking
Distress
Calculation
Manufacturing
Innovation
Physics
Solution
Difficult Courses
Calculator
Caliper
≥CP≥
Hardworking
Machine
Software
Science
Engineer
Vehicle
Maths
R&D
T-Ruler
Intelligence
Lucubrate
Solution
Helmet
Factory
Communication
High Salary
White-Collar
“ccording to Table III, participants in assimilators group related engineer with
calculator most
≥CP≥ . When cut-off point was lowered to ≥CP≥ level many
responds words such as difficult courses , R&D , maths were added to the map.
Further relaxation of cut-off point to ≥ CP≥ level caused many response words like
analytical thinking , innovation to appear.
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Table IV: Concept map for accommodators
Cut-off
point
Graph
≥CP≥
Software
≥CP≥
Engineer
Machine
Software
Engineer
≥CP≥
Responsibility
R&D
Communication
Participants with accommodator learning style related engineer with software most
Table IV, ≥CP≥ . When cut-off point relaxed to ≥CP≥ level, machine and
R&D were also added to the map.
Table V: Concept map for divergers
Cut-off
point
Graph
≥CP≥
Mechanical Drawing
≥CP≥
Engineer
Calculation
Calculator
Difficult Courses
Innovation
Mechanical Drawing
≥CP≥
Engineer
Machine
Vehicle
T-Ruler
Factory
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Participants in divergers group have a conceptualizing for engineer with mechanical
drawing most Table V, ≥CP≥ . Innovation , factory , and a few more response
words showed up at ≥CP≥ level.
Table VI: Concept map for convergers
Cut-off
point
≥CP≥
Graph
Machine
Engineer
Intelligence
Machine
Engineer
≥CP≥
Factory
Innovation
Mechanical Drawing
Analytical Thinking
Manufacturer
Difficult Courses
Physics
Machine
Caliper
≥CP≥
Analysis
Intelligence
Software
Engine
Engineer
Vehicle
Maths
Design
Inventor
Researcher
T-Ruler
Factory
Knowledgeable
Industry
Helmet
High Salary
Calculator
According to Table VI participants with converger learning style related
with machine most
≥CP≥ . Relaxation of cut-off point to ≥CP≥
intelligence and factory to appear in the map. When cut-off point was
≥CP≥ level many response words such as analytical thinking ,
engine , innovation added to the map.
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engineer
level lead
lowered to
analysis ,
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Cemil Yigit, Elif Atabek-Yigit MECHANICAL ENGINEERING STUDENTS’ LEARNING STYLES AND THEIR
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Participants related sentences were examined semantically and the findings were given
in Table VII.
Table VII: Findings from participants
related sentences analysis
Assimilators
Accommodators
Divergers
Convergers
Sentences that describes engineering
14 (35)
1 (14.3)
13 (37.1)
3 (17.6)
Sentences that give technical information
1 (2.5)
-
1 (2.9)
6 (35.3)
Sentences that stresses abilities to be an
engineer
3 (7.5)
-
5 (14.3)
1 (5.9)
Sentences related to workplace
1 (2.5)
3 (42.8)
2 (5.7)
-
Sentences that involves feelings
5 (12.5)
1 (14.3)
6 (17.1)
-
Sentences that relates personal
characteristics
9 (22.5)
-
1 (2.9)
2 (11.8)
2 (5)
-
2 (5.7)
3 (17.6)
Meaningless sentences
5 (12.5)
2 (28.6)
5 (14.3)
2 (11.8)
Total
40 (100)
7 (100)
35 (100)
17 (100)
Sentence about engineering education
* Numbers in brackets show percentages.
It can be said that participants in assimilators (35%) and divergers (37.1%) groups
mostly wrote sentences that describe engineering e.g., an engineer is a person who
thinks analytically, is creative and finds solutions to problems while participants in
accommodators (42.8%) group mostly wrote sentences related to workplace (e.g.,
engineers may work in dirty places). Majority of participants in convergers group
(35.3%) had sentences that give technical information (e.g., engineering means technical
drawing, complex calculations, and various software).
4. Conclusion
“n individuals learning style describes the best way that individual attribute a
meaning to information. It is unique for each person since someone s genetic
background, life experiences, and the demands different from another one (Kolb 1984).
Since it is how someone process information it affects how we perceive facts. The
process by which a person selects, organizes, and interprets information, and create a
meaning is known as perception and it plays an important role on how well someone is
doing on something. In this study, learning styles of engineering students was
determined and their perception of profession was explored according to their learning
styles.
Majority of participants of this study were assimilators (40.4%) and convergers
(35.3). According to Kolb (1984), educational specialization is one of the factors that
shape individuals learning styles. There is an increasing specialization in high school
and individuals that were educated in similar high schools tend to have similar learning
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styles. Professional career choice, which exposes someone into a specialized learning
environment as well as involving a commitment to a generic professional problem, is
another factor that effect someone s learning style. “ccording to studies by using Kolb
learning theory, people that have assimilating learning style tend to have professions in
sciences and information or research. Convergers tend to have professions in technical
fields like medicine and engineering. Hence, this can be the explanation of learning
style distribution of participants in this study.
It was found in this study that participants with assimilating learning styles
related calculator with engineer most
≥CP≥ . They have also responses like
solution , hardworking , lucubrate , and science which are different from other
responses in other learning style groups. As for their related sentences, assimilators
wrote mostly sentences that define engineering. These responses and sentences are
meaningful since assimilators greatest strength lies in the ability to create theoretical
models (Kolb 1981). Participants in accommodators group who have the opposite
strengths from those of the assimilators tend to solve problems in an initiative trialerror method and relying on other people for information rather than their own
analytical stability, Kolb
conceptualized engineer with software most
≥CP≥ . There were some responses in their concept map that were different from
other groups such as responsibility , and communication and these responses
would be expected. Also, their related sentences were mostly about workplaces. As for
the participants in divergers group mechanical drawing was the most related
response for the stimulus word engineer
≥CP≥ . These participants also wrote
sentences that define engineering most. Participants in convergers group related
engineer with machine most
≥CP≥ . Their different responses from other
groups include vehicle , engine , researcher , industry , and knowledgeable .
From the point that convergers are good at practical application of ideas (Kolb 1981)
those responses were definitely meaningful.
Overall it can be concluded that participants with different learning styles have
different profession perceptions i.e., learning styles have an effect on perception.
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