of future jobs at the level of digital technology, com-
puting, automation, and digital humans. Thus, educa-
tion responds challenges by learning about trends and
changes. It gives new views about future economic
opportunities (Moberg, 2014).
The higher education curriculum adjusts the in-
fluence of socio-economic and techno-economic de-
velopments for future employment needs (Tejedor,
Segal
`
as and Rosas-Casals, 2018). One of them is
entrepreneurship education based on fourlevel struc-
tures. At the first level, a student is involved with in-
formation (supply). At the second level, there are in-
volvement and questions (demand). At the third level,
there is supply and demand (competence). At the last
level, teaching is designed to be a hybrid model com-
bining all levels of entrepreneurial teaching (Ismail,
Sawang and Zolin, 2018). Entrepreneurial teaching
and learning are very important to understand eco-
nomic opportunities and to find the best ways to ex-
plore them (Jensen, 2014).
The conceptual framework of this study is an-
chored in the interrelationship between elements of
entrepreneurship education and the continuing indus-
trial revolution. Sustainable entrepreneurship educa-
tion is related to some themes such as ICT infras-
tructure, policy and regulatory governance, human re-
source development, and innovation-based economy.
This is the complexity of the digital knowledge econ-
omy. The sustainability paradigm should then reflect
the interactions of various systems which are com-
plex, dynamic, non-linear, and self-regulating (Fun-
towicz et al., 1999). We also remind that a sustain-
able knowledge society is not a society filled with a
myriad of digital technologies but that is collectively
infrastructure, applications and literacy (Sharma &
Mokhtar, 2006). Some research questions focused on
this study, including: (1) How can the best implemen-
tation of sustainable entrepreneurship 4.0 model be
implemented in social learning? (2) What are the stu-
dents’ perceptions toward the implementation of dig-
ital enterpreneurship? (3) How can social learning
through the sustainable entrepreneurship model 4.0
effectively influence entrepreneurial attitudes and be-
havior?
2 METHOD
The research used a quantitative approach with a sur-
vey method explaining causal relationships between
variables along with testing hypotheses, such that rel-
ative events, distribution, and relationships between
Obtained sociological and physicological variables
(Singarimbun and Effendi, 1995). There are three
characteristics of the survey method. The first one
is the objectives can be descriptive as well as verifica-
tion, explanatory or confirmatory. The second one is
collected data from predetermined samples. The last
one is the captured research variable data (Kerlinger,
1990)(Gall et al., 2003) (McMillan and Schumacher,
2001).
Participants in this study were students of the Fac-
ulty of Social Sciences Education, Indonesian Educa-
tion University consisting of the Department of Cit-
izenship Education, Department of History, Depart-
ment of Geography, Department of Social Sciences
Education, Department of Sociology Education, De-
partment of Tourism Marketing Management, Depart-
ment of Catering Industry Management, Department
of Resort and Leisure Management, Department of
Communication Studies, Department of Islamic Reli-
gious Education, and Department of Mapping Survey
and Geographic Information. A total of 12 study pro-
grams / departments have a number of students rang-
ing from 3393 people. Thus, the sample used was
based on a sample distribution of students having an
entrepreneur background (245 people).
The data collection technique used in this study
was giving a questionnaire to the students. Data col-
lection is done by submitting a list of questions to a
number of individuals and they were asked to write
the answers. This study uses a closed questionnaire,
because the questions in the questionnaire have pro-
vided alternative answers. The data processing tech-
nique of the questionnaire results uses a Likert scale
where alternative answers to positive values are 5 to
1. The scoring is done based on the respondents’ an-
swers and then scored using the Likert scale and at-
titude scale. The questionnaire processing using Mi-
crosoft Excel for coding data. The data obtained is
then processed through the process of editing, scor-
ing, data entry, and data analysis. For the analy-
sis of respondent data and respondent categories, we
used a LISREL software tool. Hypothesis testing
in this study uses a structural equation modeling or
commonly called (Structural Equation Model / SEM).
SEM statistical techniques are used to test a series of
relationships between several variables (Hair et al.,
1998).
The stages of SEM process according to (Cooper
and Pamela, ) are written as follows: (1) model speci-
fications, (2) estimation, (3) compatibility test, (4) re-
specification, (5) interpretation and communication.
Structural Equation Model (SEM) starts with specify-
ing the research model to be estimated. The specifi-
cation of the research model, reprisenting the problem
of the study is important in SEM. The model specifi-
cation is carried out on the measurement model and
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