The implementation of design thinking models on the entrepreneurship learning in vocational schools

International Journal of English Literature and Social Sciences, 5(5)
Sep-Oct 2020 |Available online: https://ijels.com/
ISSN: 2456-7620
https://dx.doi.org/10.22161/ijels.55.6 1369
The Implementation of design thinking Models
on the Entrepreneurship Learning in
Vocational Schools
Laurensia Claudia Pratomo, Siswandari, Dewi Kusuma Wardani
Faculty of Teacher Training and Education of Sebelas Maret University, Indonesia
Abstract— This study aims to determine the implementation of the design thinking learning model in
entrepreneurship education, especially in marketing media competencies. The experimental method was
used in this study with 120 vocational school students in Surakarta as research objects. The data were
obtained by distributing questionnaires to students. The data is processed using SPSS Statistics 23
application. The results of N-Gain shows that students' creativity and entrepreneurial alertness in the
experimental class has increased after receiving entrepreneurship education with Stanford D School's
design thinking model. In the category of high creativity has increased by 7% while in the category of high
entrepreneurial alertness has increased by 10%.
Keywords— learning model, design thinking, entrepreneurship learning, vocational schools.
I. INTRODUCTION
Learners are increasingly required to have competence in
order to answer challenges in the 21st century, especially
to prepare themselves in the workforce. The competencies
needed include communication skills, collaboration,
creativity, and critical Thinking [12]. The curriculum must
be a platform to build knowledge and encourage learners
so that they can develop new skills needed in the 21st
Century [2]. In addition to the educational curriculum,
there is also a new approach in learning that is effectively
able to develop the students' ability to make decisions,
analyse, and solve problems immediately [9]. In
curriculum 2013 revised edition 2017 entrepreneurial
learning especially in vocational schools is converted into
creative and entrepreneurial product subjects with the hope
that the students can become an entrepreneurial, able to
utilize biological wealth, empower the environment, and
provide innovation or breakthrough to solve problems and
meet the needs of society. Although the curriculum has
been designed in such a way as to follow the demands in
the 21st century, unfortunately there are still many lessons
that still use conventional approaches which are considered
ineffective in creating students' skills, especially in
entrepreneurship subjects [3]. There are various reasons
why educators are reluctant to apply the methods or
approaches according to the curriculum 2013, such as
educators are not ready to face changes in the educational
world, so they prefer to use conventional learning and the
limitations of facilities and infrastructure available at
school.
Apart from a variety of causes and barriers to the
implementation of the model and learning approaches
according to the 21st century, an educator still have to
develop the skills of each learner. In fact, learning is not
only transferring the knowledge that an educator has but
also growing and honing the skills of students. There is an
approach that is able to integrate the students' 4C in
learning; communication collaboration, creativity, and the
ability of critical thinking through design thinking. Design
thinking is an approach that can be used appropriately and
effectively when applied to entrepreneurship learning [1].
Design thinking consists of collaboration that aims to solve
problems by identifying and processing information or
problems that occur around us, experience and feedback,
and students apply 21st century skills such as
communication, creativity, and critical thinking to solve
problems [9]. Simple problems even complex problems
can be solved through design thinking.
II. LITERATURE REVIEW
2.1 Design Thinking As a problem solving approach
Design thinking is adopted from the way a designer or
designers work, they deal with various complex problems

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over the years, and then design and develop complex
professional practices in their fields [8]. Why is design
thinking said to be human-centered? In design thinking
there is a systematic collaboration process with humans as
the center of users [9], design thinking is created through a
planned process so that it can eventually produce a
condition or condition that is expected by humans [7]. In
addition, design thinking is able to provide support and
strengthen human dignity by solving various problems in
the social, economic, political and cultural fields [13], so
that solutions to these problems emerge such as certain
decisions or policies. Design thinking has a special feature
because through the work process of a designer it helps us
produce, teach, study, and apply human centered
techniques systematically with the aim of solving problems
creatively and innovatively in terms of business, state, and
everyday life [6].
The world of education is inseparable from design thinking
that is also capable of creating a learning experience that is
centered on the learner or student centered [14]. The basic
thing needed in design thinking is to build the ideas of each
individual, because design thinking involves processes and
thoughts in it [9]. There are several characteristics of a
designer or a design thinker [10] some of them: human
and environment centered concern, ability to visualize,
predisposition toward multifunctionality, systemic vision,
the ability to use language as a tool, affinity for teamwork,
avoiding the necessity of choice.
Based on this description, an individual known as a design
thinker is able to communicate, collaborate, and
collaborate with others. Besides that, the design thinker
must think critically and creatively to solve problems and
find solutions. The application of the design thinking
approach in education is expected to be able to improve
and train the skills of students as a design thinker should
have in solving problems in society.
2.2 Process or Stage of Design Thinking
Due to the demands of the changing times in the era of
distribution, humans must be able to overcome every
problem they face. The desire to develop and become a
better human factor always explores the possibilities that
can be a solution to their problems. Design Thinking
enables us to understand problems by approaching
challenges and looking for the most appropriate steps or
ways to overcome them according to human needs [5].
Then how is the design thinking process? There are five
stages in design Thinking [4], namely:
(1) Empathize. At the first stage we are invited to
understand the problems that want to be solved
emphatically. One needs to go directly into the
environment where the problem occurs in order to be able
to understand the experience and increase the empathy of
the researcher. Through this empathy process allows
researchers to prioritize the needs of users (who are
involved in problems). The empathy stage also provides
information that can be used at a later stage, in addition to
developing an understanding of users, user needs, and
problems that are the basis for product or solution
development.
(2) Define. After going through the second stage, next is
the define stage. The information obtained in the Empathy
stage is collected at this stage and then analyzes and
synthesizes the problem. Then comes the core problem we
identified earlier. It should be remembered that the
problem must be based or human-centered manner and not
self-interest or other parties. The define stage helps the
designer or researcher gather ideas that are useful in
solving problems.
(3) Ideate. At this stage, a designer is ready to come up
with an idea. After going through the empathy stage we are
able to understand user needs (human need), then at the
define stage we must analyze and synthesize the
observations that produce basic human-centered problems.
Furthermore, at this ideate stage, we are challenged to
think of new solutions by "thinking outside the box" so as
to be able to overcome the problem. It is very important if
we are able to get various kinds of ideas or solutions to this
problem, then we must select some of these ideation
techniques to find the best way to solve or avoid the
problem.
(4) Prototype. At this stage an output or output can be
formed with a minimalist design or a prototype (for
example, a cheaper and reduced version of the product) so
that it can be seen whether the solution can solve the
problem. Prototypes can be tested on groups or research
teams or certain groups other than the development team.
This stage is called the experimental stage because the
team needs to test the design and evaluate the user
experience. In the end the design team came up with a
better idea because of the obstacles that occurred during
the design trial process.
(5) Test. The prototype or design that has been obtained
from the previous stage is tested by the evaluator and the
results of the evaluation carried out are a repetitive process.
The results obtained during the test can be used to explain
the problem again, informing them of; user understanding;
conditions of use; and user response. This stage allows
changes and improvements to the prototype to gain an
understanding of the product and its users.

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2.3 Implementation of Design Thinking in
Entrepreneurial Learning
Design thinking has been applied in various fields
including education. There are several examples of
educational institutions and communities that use design
thinking as a guideline for activities including Design
Thinking for Educators, Ideate High Academy, Interaction
Design Foundation, Darden Executive Education, The
Nothos Lab. Unfortunately in Indonesia itself is still quite
unfamiliar with the use of design thinking in learning, in
this case especially in entrepreneurship learning. Design
thinking can be applied as a learning approach. The
appropriate learning method to combine with design
thinking is project based learning and problem based
learning depending on the learning objectives to be
achieved [11].
Design thinking contains two phases, namely analytical
and synthetic. In the analytic phase, it consists of (1)
discovery; at this stage the existing theory will be studied,
(2) understanding, observing, and evaluating; at this
analytical stage it allows observation activities to solve
problems so that they can find solutions. In the synthetic
phase there is a process of creating ideas so that the
application of theory needs to be used. This synthetic stage
is in accordance with the design thinking stage, namely
ideation, prototyping, and testing which focuses on the
creation process. The two analytical and synthetic stages
must be interconnected so that they are able to create
problem solutions through the observation process at the
analytic stage and end with testing ideas or solutions that
can be used. However, this process can occur repeatedly at
every stage [9]. Because entrepreneurship learning is
applied in secondary education, the design thinking
approach is designed to be simpler than in higher
education.
2.4 Research Objective
The purpose of this study was to determine the application
of a problem-solving approach as well as a project-based
approach, namely design thinking with the Stanford model
on students' creativity and entrepreneurial alertness. The
matter of problem in this research is (1) Does design
thinking can enhance the creativity of students through
entrepreneurial learning? (2) Does design thinking can
enhance students' entrepreneurial alertness through
entrepreneurial learning?
III. RESEARCH OBJECTIVE
The study used quasi-experiment methods by distributing
questionnaires to students in the experimental class and
control class, each class consists of 60 students. The
research questionnaire uses a Likert scale with 4 scales i.e.
from strongly agreed to highly disagreeing and data tested
using SPSS 23 programs. Results of pretest and posttest are
gathered and used to determine the application of design
thinking models to increased ability and entrepreneurial
alertness of students. The tabulation of the research data is
further analyzed into the category of creativity and
entrepreneurial alertness of students. These categories can
be viewed in table 1. As for X is a questionnaires scores, σ
is Standard Deviation, and μ is average score.
Table 1. Category of Creativity and Entrepreneurial
Alertness (N-Gain)
Interval Description
X<μ-0,5σ Low
μ-0,5σ≤X≤μ+0,5σ Moderate
X>μ+0,5σ High
IV. RESULT AND DISCUSSION
Apart from going through the validity test, reliability test,
and classical assumption test, the collected data were then
processed using the SPSS Statistics 23 program to produce
data as in table 2.
Table 2. Results of Data Processing Using SPSS
Creativity
Entrepreneurial
Alertness
Mean Std. Dev Mean Std. Dev
Pretest Ex 33,63 4,202 51,48 7,031
Posttest Ex 36,43 4,500 60,03 6,454
Pretest Con 30,63 3,813 49,48 8,050
Posttest Con 30,47 3,657 51,98 6,573
Table 2 is the result of data processing variables of
creativity and entrepreneurial alertness using SPSS.
Creativity in the Pretests class experiments has mean 33.63
and Std. Dev 4.202, while creativity in the Posttest class of
experimentation has mean 36.43 and STD. Dev 4.500.
Entrepreneurial alertness on the experimental class pretests
has mean 51.48 and Std. Dev 7.031, while entrepreneurial
alertness on the experimental class posttest has mean 60.03
and STD. Dev 6.454. The creativity on the control class
pretests has the mean 30.63 and STD. Dev 3.813, while the
creativity on the Posttest control class has mean 30.47 and
STD. Dev 3.657. Entrepreneurial alertness on the control
class pretests has mean 49.48 and Std. Dev 8.050, while

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entrepreneurial alertness in posttest-class control has mean
51.98 and STD. Dev 6.573.
Table 3. Categories of Creativity
Description Control Class
Experimental
Class
Low Pretest X < 29 X < 31
Posttest X < 29 X < 34
Moderate Pretest 29 ≤ X ≤ 32 31 ≤ X ≤ 36
Posttest 29 ≤ X ≤ 32 34 ≤ X ≤ 39
High Pretest X > 32 X > 36
Posttest X > 32 X > 39
After obtaining the results of data processing using SPSS
then tabulations are made to determine the categories of
students' creativity and entrepreneurial alertness before and
after receiving treatment. The results of the tabulation of
the prestest and posttest creativity questionnaires are
shown in table 3. Before receiving treatment (pretest)
students in the control class with high creativity were
participants with a score above 32, students in the control
class with moderate creativity skills had scores between 29
and 32. While students in the control class with low
creativity skills had a score below 29. It was also known
that students in the experimental class with high creativity
skills were participants with a score above 36, students in
the experimental class with moderate creativity skills had
scores between 31 up to 36, while students in the
experimental class with low creativity skills had scores
below 31.
After receiving treatment (posttest) students in the control
class with high creativity were participants with scores
above 32, students in the control class with moderate
creativity had scores between 29 to 32, while students in
the control class with low creativity had scores in below
29. It was also known that students in the experimental
class with high creativity were participants with a score
above 39, students in the experimental class with moderate
creativity had scores between 34 to 39, while students in
the experimental class with low creativity had scores below
34.
Table 4. Distribution of the Number of Students in Each
Creativity Category
Class High Moderate Low
Control Pretest 19 21 20
Posttest 19 22 19
Experimental Pretest 14 31 15
Posttest 18 27 15
Based on table 4, it is known that before receiving
treatment (pretest), students in the control class with high
creativity amounted to 19 students (31%), students with
moderate creativity amounted to 21 students (35%), and
students with low creativity were 20 students (33%).
Whereas in the experimental class, there were 14 students
with high creativity (23%), 31 students with moderate
creativity (52%), while those with low creativity were 15
(25%). After receiving treatment (posttest) students in the
control class with high creativity amounted to 19 students
(32%), students with moderate creativity numbered 22
(37%), and students with low creativity were 19 (32%).
Whereas in the experimental class, there were 18 students
with high creativity (30%), 27 students with moderate
creativity (45%), while those with low creativity were 15
(25%).
In the control class there was no change in student
creativity in the high category, which was still 19 students,
in the moderate category there was an increase of 1 student
from 21 students to 22 students, and there was a decrease
in creativity in the low category as many as 1 person who
originally numbered 20 students to become 19 students.
Whereas in the experimental class, the low category had a
fixed number of 15 students, while in the moderate
category there was a decrease of 4 students, but in the high
creativity category there was an increase of 4 students to
18 students. It can be concluded that there is an increase in
creativity in the experimental class compared to the control
class. The experimental class with the high creativity
category increased by 7%, from 23% to 30%, while the
control class with the high creativity category did not
change.
Table 5. Categories of Entrepreneurial Alertness
Description Control Class
Experimental
Class
Low Pretest X < 45 X < 48
Posttest X < 49 X < 57
Moderate Pretest 45 ≤ X ≤ 53 48 ≤ X ≤ 55
Posttest 49 ≤ X ≤ 55 57 ≤ X ≤ 63
High Pretest X > 53 X > 55
Posttest X > 55 X > 63
After obtaining the results of data processing using SPSS
in table 2, tabulations are made to determine the categories
of student entrepreneurial alertness before and after

ISSN: 2456-7620
receiving treatment. The results of the tabulation of the
prestest and posttest questionnaire on entrepreneurial
alertness are shown in table 5.Before receiving treatment
(pretest) students in the control class with high
entrepreneurial alertness were participants with a score
above 53, students in the control class with moderate
entrepreneurial alertness had a score between 45 to 53,
while students in the control class with low entrepreneurial
alertness had scores below 45.It was also known that
students in the experimental class with high entrepreneurial
alertness were participants with scores above 55, students
in the experimental class with moderate entrepreneurial
alertness had scores in between 48 to 55, while students in
the experimental class with low entrepreneurial alertness
had a score below 48.
After receiving treatment (posttest), students in the control
class with high entrepreneurial alertness were participants
with scores above 55, students in the control class with
moderate entrepreneurial alertness had scores between 49
to 55, while students in the control class with
entrepreneurial alertness low has a score below 49. It is
also known that students in the experimental class with
high entrepreneurial alertness are participants with scores
above 63, students in the experimental class with moderate
entrepreneurial alertness have a score between 57 to 63,
while students in the experimental class with low
entrepreneurial alertness has a score below 57.
Table 6. Distribution of the Number of Students in Each
Entrepreneurial Alertness Category
Class High Moderate Low
Control Pretest 14 26 20
Posttest 12 32 16
Experimental Pretest 13 33 14
Posttest 19 27 14
Based on table 6, it is known that before receiving
treatment (pretest), students in the control class with high
entrepreneurial alertness were 14 students (23%), students
with moderate entrepreneurial alertness were 26 students
(43%), and students with low entrepreneurial alertness
were 20 students (33%). Whereas in the experimental
class, there were 13 students with high entrepreneurial
alertness (22%), 33 students with moderate
entrepreneurship alertness (55%), while those with low
entrepreneurial alertness were 14 students (23%). After
receiving treatment (posttest) students in the control class
with high entrepreneurial alertness amounted to 12 students
(20%), 32 students with moderate entrepreneurial alertness
(53%), and 16 students with low entrepreneurial alertness
(27%). Meanwhile in the experimental class, there were 19
students with high entrepreneurial alertness (32%), 27
students with moderate entrepreneurial alertness (45%),
while those with low entrepreneurial alertness were 14
students (23%).
In the control class, although there was an increase in
entrepreneurial alertness in the moderate category, from 26
students to 32 students and a decrease in entrepreneurial
alertness in the low category, from 20 students to 16
students, it turns out that entrepreneurial alertness in the
high category has decreased from 14 students to 12
students. Whereas in the experimental class there was no
change in entrepreneurial alertness in the low category,
which was still 14 students. In addition, there was an
increase in entrepreneurial alertness in the high category
from 13 students to 19 students. It can be concluded that
there is an increase in entrepreneurial alertness in the
experimental class compared to the control class. The
experimental class with the high entrepreneurial alertness
category increased by 10%, from 22% to 32%, while the
control class with the high entrepreneurial alertness
category decreased 3% from 23% to 20%.
V. CONCLUSION
Based on the results of this study, it is known that there is
an effect of the application of design thinking on the
creativity and entrepreneurial alertness of vocational
students. Design thinking is basically human centered
because the problems experienced by everyone are
expected to be solved by using the processes or stages
contained in design thinking. The use of design thinking in
entrepreneurship learning can improve communication
skills, collaboration, creativity, and critical thinking in
accordance with the demands of the 21st century. In order
to solve problems, students must communicate and
collaborate with others (collaboration), besides that
students think critically for can create ideas creatively so as
to produce solutions that are applied or implemented to
overcome the problem. This article is limited to the
application of design thinking in vocational schools and it
is hoped that in the future research on the application of
design thinking in other studies with a wider scope will be
carried out. Further researchers can design and develop
problem-based learning and project-based learning
methods that use a design thinking approach in
entrepreneurship learning.

ISSN: 2456-7620
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