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Impacts of entrepreneurship education on brazilian undergraduate students: An empirical study comparing compulsory and elective disciplines
Carlos Arruda; Ana Burcharth; Erika Penido Barcellosta;
Carlos Arruda; Ana Burcharth; Erika Penido Barcellosta; Samara Paganini Lourencini
Impacts of entrepreneurship education on brazilian undergraduate students: An empirical study comparing compulsory and elective disciplines
Impactos da educação empreendedora em alunos brasileiros do ensino superior: Um estudo empírico comparando disciplinas obrigatórias e eletivas
REGEPE Entrepreneurship and Small Business Journal, vol. 12, núm. 3, e2443, 2023
Associação Nacional de Estudos em Empreendedorismo e Gestão de Pequenas Empresas
resúmenes
secciones
referencias
imágenes

Abstract: Objective of the study: This study assesses the impact of entrepreneurial education on students of entrepreneurship courses at the undergraduate level of Brazilian universities. Methodology: The methodology adopted was pre/post based on the collection of primary survey data among 398 entrepreneurship students of 10 undergraduate courses from six Brazilian universities, involving twelve professors. Data analysis was performed using confirmatory factor analysis and paired t-tests to compare means. Main results: Entrepreneurship elective courses have a greater positive impact (especially for entrepreneurial attitudes, perceived behavioral control and entrepreneurial intention) for undergraduate students, when compared to mandatory courses, which negatively impacted entrepreneurial attitudes, perceived behavioral control and entrepreneurial intention. Theoretical / methodological contributions: The development of a framework to analyze the impact of entrepreneurial education based on the recent entrepreneurship literature representing an extended version of the Theory of Planned Behavior that includes entrepreneurial knowledge and competencies. Relevance / originality: The application of a rigorous methodology (pre/post intervention) with application of paired t-tests and the comparison between elective and mandatory entrepreneurship courses in large database.

Keywords: Entrepreneurial Education, Teaching Entrepreneurship, Entrepreneurship.

Resumo: Objetivo do estudo: O presente estudo tem como objetivo avaliar os impactos da educação empreendedora em alunos de disciplinas de empreendedorismo no nível de graduação de universidades brasileiras. Metodologia: A metodologia adotada foi pré/pós a partir da coleta de dados primários por meio de questionários estruturados entre 398 estudantes de empreendedorismo provenientes de 10 disciplinas de graduação de seis universidades brasileiras, envolvendo doze professores. As análises de dados foram realizadas por meio de análise fatorial confirmatória e testes pareados de comparação de médias. Principais resultados: As disciplinas eletivas de empreendedorismo têm maior impacto positivo (sobretudo para atitude empreendedora, controle percebido do comportamento e intenção empreendedora) para os alunos de graduação no Brasil, se comparado às disciplinas obrigatórias, que, inclusive, impactaram negativamente alguns fatores (ex.: atitude empreendedora, controle percebido do comportamento e intenção empreendedora). Contribuições teóricas/metodológicas: Desenvolvimento de um modelo para analisar o impacto da educação empreendedora fundamentado na recente literatura sobre o tema e que representa uma versão estendida da Teoria do Comportamento Planejado, a qual inclui conhecimentos e competências empreendedoras. Relevância/originalidade:Uso diferencial de uma metodologia rigorosa (pré/pós com aplicação de teste-t pareado) e comparação dos efeitos de cursos eletivos e obrigatórios de empreendedorismo em uma ampla base de dados.

Palavras-chave: Educação Empreendedora, Ensino de Empreendedorismo, Empreendedorismo.

Carátula del artículo

Research Article

Impacts of entrepreneurship education on brazilian undergraduate students: An empirical study comparing compulsory and elective disciplines

Impactos da educação empreendedora em alunos brasileiros do ensino superior: Um estudo empírico comparando disciplinas obrigatórias e eletivas

Carlos Arrudaa
Fundação Dom Cabral (FDC), Nova Lima, MG, Brasil
Ana Burcharthb
Fundação Dom Cabral (FDC), Nova Lima, MG, Brasil
Aarhus University, Department of Management (AU), Aarhus, Dinamarca
Erika Penido Barcellostac
Betânia Tanure Associados (BTA), Belo Horizonte, MG, Brasil
Samara Paganini Lourencinid
Delloite, Vitória, ES, Brasil
REGEPE Entrepreneurship and Small Business Journal, vol. 12, núm. 3, e2443, 2023
Associação Nacional de Estudos em Empreendedorismo e Gestão de Pequenas Empresas

Recepción: Febrero 15, 2021

Aprobación: Junio 01, 2023

Publicación: Octubre 20, 2023

INTRODUCTION

Can education promote entrepreneurship? This questioning on the impact of entrepreneurial education has been the object of speculation by academics, public policymakers and educators (Saes & Marcovitch, 2020). Defined "as an activity aimed at transferring knowledge to stimulate the creation of goods and services from the exploitation of opportunities, regardless of how the effort is made, by whom it is offered and with what effects" (Ribeiro & Plonski, 2020, p.30), entrepreneurial education or "for entrepreneurship" proposes to develop skills and knowledge aimed at boosting the development of new businesses and job creation (Nabi et al., 2017). Many studies have examined its effectiveness in order to investigate the results of different pedagogical practices on student behavior (Martin et al., 2013). However, there is no consensus on the answer to this question (Lima et al., 2015b), which constitutes an important dilemma.

On the one hand, the literature recognizes several positive effects of entrepreneurial education for the individual, including improvements in their entrepreneurial attitudes, intention, self-efficacy, skills and action, as well as for society, such as in the establishment of companies and in the performance of new businesses (Duval-Couetil, 2013; Lorz et al., 2013; Mwasalwiba, 2010; Pittaway & Cope, 2007; Ribeiro & Plonski, 2020). For example, the study by Byabashaija and Katono (2011) suggests that entrepreneurial education is effective, as it positively impacts perceptions of desire and the viability of entrepreneurship as a career option for students. On the other hand, the literature emphasizes the limits of entrepreneurial education, revealing neutral and even negative impacts (Dickson et al., 2008; Fayolle & Gailly, 2015; Lima et al., 2015a, Walter & Dohse, 2012). Studies such as Karimi et al. (2016) found no significant effects of participating in entrepreneurship courses, while those of Oosterbeek et al. (2010) and Von Graevenitz et al. (2010) found negative effects. As for the studies carried out with students in Brazil, in addition to being scarce, they also show incompatible results. Lima et al. (2015a) concluded that the intentional founders, who took entrepreneurship courses in Brazilian higher education, did not increase their entrepreneurial intentions and self-efficacies. Rocha and Freitas (2014) and Barbosa et al. (2020) found significant changes in the entrepreneurial profile of students who participated in entrepreneurship training, while Lima et al. (2015b) reported negative effects for entrepreneurial intention and self-efficacy.

The lack of consistency shows a dubiousness in the literature about the impact of entrepreneurial education on entrepreneurship development. The apparently conflicting empirical results have led researchers to question methodological aspects, as less rigorous research overestimates positive effects (Martin et al., 2013). Another reason for the contradictory results is the difference between pedagogical methods. Few papers, such as Curtis et al. (2021), directly connect the impacts of entrepreneurship education to pedagogical methods (Nabi et al., 2017; Pittaway & Cope, 2007), which makes a reliable comparative analysis difficult. Despite several empirical studies on the subject, isolating entrepreneurial behavior is uncertain. Most studies adopt methodologies that are viewed as limited, as they do not use comparable treatment and control groups of participants, do not control for self-selection bias (Storey, 2017), do not collect longitudinal data and do not compare the effectiveness of different pedagogies (Nabi et al., 2017; Rideout & Gray, 2013). In effect, there is consensus among researchers that the investigation of the impacts of entrepreneurial education is an area still lacking attention, especially in Brazil (Ribeiro & Plonski, 2020).

The present study aims to answer the following research question: what are the impacts of entrepreneurial education on students in entrepreneurship courses at the undergraduate level of Brazilian universities? Taking the Theory of Planned Behavior (TPB) as a theoretical framework and using an empirical study with 398 Brazilian university students, the present article addresses some theoretical and methodological gaps in studies on the evaluation of the impacts of entrepreneurial education in Brazilian higher education. Among its contributions are the development of a model to analyze the impact of entrepreneurship education, which incorporates entrepreneurial knowledge and skills into the original TPB model, the use of a rigorous methodology (pre/post with paired t-test), and the comparison of the effects of elective and required entrepreneurship courses.

Investigating the impact of entrepreneurial education is relevant, especially in the context of the economic crisis caused by the COVID-19 pandemic, as entrepreneurship is recognized as an engine of economic growth and job creation (Kuratko, 2005; Schumpeter, 1934). In 2020, the increase in unemployment in Brazil led to the growth of entrepreneurship out of necessity (lack of income alternatives), from 37.5% to 50.4%. In addition, the contingent of initial entrepreneurs reached the highest level of the historical series since 2002, with a rate that represents 23.4% of the adult population or 32.6 million Brazilians (GEM, 2020). In the face of growing social demand (Saes & Marcovitch, 2020), formal training mechanisms through entrepreneurial education have been widely discussed as a strategy for developing more and better entrepreneurs.

THEORETICAL BASIS AND HYPOTHESES
Theory of planned behavior

Entrepreneurship is an intentional process in which individuals cognitively plan to perform activities related to recognition of opportunities, creation and development of ventures (Lortie & Castogiovanni, 2015). Based on this observation, most studies on the effects of entrepreneurial education are based on the principle that becoming an entrepreneur is something planned (Nabi et al., 2017), that is, it is a process of rational choice. This draws on the TPB in the field of psychology, which emphasizes the controllable aspects of information processing and decision-making (Ajzen, 2011). According to this theory, the intention to undertake - that is, the goal that a person aims to achieve - precedes the act of undertaking and is the main predictor of entrepreneurial behavior (Vasconcelos et al., 2020). Personal intention is considered the basic element of the entrepreneurial process, as it refers to the mental decision to create a business and determines the personal engagement of the Nascent entrepreneurial during this process (Liñán, 2007). Three variables precede the formation of the intention to undertake: attitude, subjective social norms and perceived behavioral control (Ajzen, 1991), as illustrated in Figure 1. Several empirical studies corroborate the validity of TPB in the context of entrepreneurship (Lima et al., 2015b; Lortie & Castogiovanni, 2015) and particularly in the choice of students for an entrepreneurial career (Gorgievski et al., 2018; Valencia-Arias & Restrepo, 2020).


Figure 1
Illustration of the general model of the TPB
Note: Elaborated by the authors from Ajzen (1991).

Attitude refers to the degree to which behavior is perceived positively or negatively (Ajzen, 1991). It depends, therefore, on beliefs related to the consequences of a given behavior (Bosnjak et al., 2020), whether real or guided by irrational assumptions and emotional biases linked to fear and anger (Ajzen, 2011). Unlike other types of behavior, entrepreneurship represents a challenging behavior in the context of work as it is characterized by risk, uncertainty, and complexity (Obschonka et al., 2015). Relevant entrepreneurial attitudes are related to job security, workload, belonging to a social group, the need for challenges, autonomy to make decisions, the desire to engage in creative projects and financial opportunity (Kolvereid, 1996).

Subjective social norms consist of the perception of favorable or unfavorable social pressure exerted by important or relevant people in the individual's circle of relationships (Ajzen, 1991), so that they may or may not go forward with the idea of entrepreneurship. Such social norms are fed by so-called normative beliefs (Bosnjak et al., 2020), that is, social influences that lead to certain behavior, such as the expectations of the would-be entrepreneur’s family (Lima et al., 2015a). Subjective social norms are considered favorable to entrepreneurship when a person’s peers (friends, family, and colleagues) value and create positive expectations about entrepreneurial behavior (Obschonka et al., 2015). The perceived behavioral control is defined as the perception of difficulty or ease to develop that behavior, taking into account past experiences, shortcomings, and obstacles (Ajzen, 1991). It results from beliefs about factors that can facilitate or prevent the performance of a behavior, also known as control beliefs (Bosnjak et al., 2020). Therefore, it concerns not only entrepreneurial self-efficacy, which refers to the individual’s belief in their ability to perform certain tasks successfully, but also to the degree of control of the individual over their own behavior (locus of control) (Lima et al., 2014).

As a rule, the TPB prescribes that the more favorable an attitude and subjective social norms are and the greater the perceived behavioral control, the stronger a person’s intention to perform the behavior in question (Bosnjak et al., 2020). This means that people’s attitudes toward entrepreneurship, subjective social norms and the perceived behavioral control over entrepreneurial behavior have an additive effect, influencing their entrepreneurial intentions (Fayolle et al., 2006). The intention to undertake, in turn, is a good indicator to predict entrepreneurial behavior, as it is configured, according to the TPB, as an immediate antecedent (Bosnjak et al., 2020). By capturing motivational factors, entrepreneurial intention indicates how much effort an individual is willing to put into establishing a new business (Lortie & Castogiovanni, 2015). Thus, an important group of researchers, such as Vasconcelos et al. (2020), evaluates the effectiveness of entrepreneurial education through the analysis of variance of these three variables (attitudes, subjective social norms and perceived behavioral control), comparing the before and after of an educational intervention. If positive changes are perceived, entrepreneurial education is considered to have been successful.

The limitation of the TPB is that it does not measure the relationship between entrepreneurial intention and behavior. There is often a significant time lag between intention and action. As the development of new businesses by undergraduate students at the end of their entrepreneurial education courses is rare1, an option adopted by some researchers includes the assessment of activities carried out by students that characterize "nascent entrepreneur" behavior (Souitaris et al., 2007). Another approach is to investigate entrepreneurial behavior years after the educational intervention. In this case, real entrepreneurial behavior is studied as it is manifested, or not, in practice (Nabi et al., 2017). However, the long-term investigation of real entrepreneurial behavior is complicated by the difficulty of isolating empirical evidence that it was the entrepreneurial education that caused such behavior.

In addition, the TPB is not sufficient in itself, that is, the constructs originally contained in the theory do not fully explain the intentions and actions of people in certain contexts (Ajzen, 1991). The systematic review carried out by Lortie and Castogiovanni (2015) reveals a large number of additions to this theory, in the literature on entrepreneurship, to expand the TPB in terms of new constructs with antecedent, moderating and mediating effects. For example, recent contributions include entrepreneurial identity (Obschonka et al., 2015) and social values (Gorgievski et al., 2018) not only as guiding elements of entrepreneurial behavior but also in synergy with attitudes, subjective social norms and perceived behavioral control. Other studies have proposed a TPB extended with self-efficacy to emphasize feasibility issues, on the grounds that self-efficacy differs significantly from perceived behavioral control, even though they are similar concepts (Liñán, 2007). Perceived behavioral control is the general belief in a person's power over the results of their actions, while self-efficacy is a deep self-confidence in performing specific tasks in a field of work (Pihie & Akmaliah, 2009). Research in this field shows a mediating role of entrepreneurial self-efficacy perceived by students in the relationship between entrepreneurial education and entrepreneurial intention (Lima et al., 2015b; Zhao et al., 2005).

In the field of entrepreneurship education, a significant limitation of the TPB refers to the non-incorporation of entrepreneurial competencies, which refer to the set of skills linked to the exploitation of new opportunities developed by aspiring entrepreneurs (Gorgievski et al., 2018). As highlighted by Lackéus (2015), entrepreneurial education is also perceived as a means of empowering people and organizations to create social value aimed at the public good. In contrast to the narrow definition, which thinks of entrepreneurship as the establishment of a new business, the broad definition goes further and states that entrepreneurial education involves the fostering of competencies, abilities and soft skills. The goal is to make students more creative, opportunity-oriented, proactive and innovative in various circumstances of their lives (Lackéus, 2015). In Liñán’s (2007), view, the broad approach should include content aimed at "entrepreneurial awareness" in order to foster a greater number of potential entrepreneurs, regardless of whether they set up their business immediately after graduating. In the context of the TPB, this type of education is likely to have more effects on antecedents (i.e., subjective social norms) and an indirect influence on entrepreneurial intention.

Research hypotheses

Based on the TPB, the effects of two types of entrepreneurial education (elective and required courses) are evaluated in this study from the perspective of entrepreneurial intention and entrepreneurial behavior. The distinction between courses was adopted to minimize the self-selection bias, which prevents ruling out the possibility that people who were already entrepreneurs had been attracted to entrepreneurial education, leading naturally to higher levels of entrepreneurial behaviors (Bager, 2011). This bias can be eliminated by using samples with students from required disciplines. Only two studies reviewed by Martin et al. (2013) investigated students from required entrepreneurship courses. These studies (Oosterbeek et al., 2010; Von Graevenitz et al., 2010) reported negative impacts on entrepreneurial intention, self-efficacy and/or attitude. Karimi et al. (2016) also revealed different results for students of elective and required courses regarding intentions to undertake.

Required subjects are taught to all students enrolled in a given degree program; therefore, they include both those interested and those not interested in entrepreneurship education. Participants in elective courses chose entrepreneurial education among other course options. They seek more knowledge and skill in this subject. In addition, because they are more motivated, they tend to participate more actively in learning activities than students forced to participate in the course. Therefore, following the logic of Martin et al. (2013), electives are expected to have a greater impact than required courses.

Figure 2 illustrates the general model and research hypotheses of the present study. As the theoretical arguments and conceptual mechanisms are similar for both types of course, a single hypothesis is formulated. The impact of each construct is then empirically tested for both types of course.


Figure 2
Hypothesis illustration model
Note: Elaborated by the authors.

Entrepreneurial education offers knowledge and often a practical approach on how to bring business ideas to market efficiently and quickly (Davidsson & Honig, 2003; Shinnar et al., 2014; Zhao et al., 2005). Methods for generating ideas (for example, creativity techniques) and for confirming that a given idea is new and valuable (for example, market analysis) are among the many activities conducted in entrepreneurship courses. These activities are expected to make it easier for students to own their own businesses and thus exercise greater perceived behavioral control (Krueger et al., 2000; Rauch & Hulsink, 2015; Shinnar et al., 2014; Zhao et al., 2005). Therefore:

H1: Entrepreneurial education has a positive impact on students’ perceived behavioral control.

Both entrepreneurship courses and extracurricular activities focused on this theme play a critical role in the socialization of individuals in entrepreneurial careers (Krueger & Brazeal, 1994; Robinson et al., 1991). They may indicate that the institution considers this career as a legitimate and learnable alternative, creating a favorable environment for entrepreneurship. In addition, positive attitudes toward entrepreneurship can be enhanced by minimizing spurious beliefs about the negative side of entrepreneurship and failure, with the teaching of risk reduction strategies and inspiration through rewards (Rauch & Hulsink, 2015). Therefore:

H2: Entrepreneurial education has a positive impact on students' entrepreneurial attitudes.

Often, entrepreneurship courses present and discuss real cases of successful entrepreneurs, often close to teachers and students (Curtis et al., 2021). These factors support the argument that entrepreneurial education contributes to an increase in subjective social norms regarding student entrepreneurship (Shinnar et al., 2014). Therefore:

H3: Entrepreneurial education has a positive impact on students' subjective social norms.

In its broad sense, entrepreneurship education aims to provide students with different types of knowledge and skills in areas such as marketing, innovation, management, risk-taking and finance (Chen et al., 1998). As for the skills taught in entrepreneurship courses, Mwasalwiba’s review (2010) highlights finance and resource ordering; marketing; idea generation/opportunity identification; business plan; growth management; organization and team building; new business creation and SME management. For example, the course studied by Barbosa et al. (2020) provides students with practical experience in business, in the organization and operation of a company based on market, trading and production concepts offered by volunteer professionals. In this way, students from entrepreneurship courses are expected to increase their knowledge and competencies in these areas. Therefore:

H4: Entrepreneurial education has a positive impact on students’ entrepreneurial knowledge and skills.

In addition, entrepreneurial education seeks to strengthen entrepreneurial self-efficacy in several ways. Entrepreneurship courses often offer an opportunity for repetitive engagement in a task and the development of students’ confidence in their abilities to perform these types of tasks in the future. For example, by conducting a market analysis, pitching an idea, developing a business model, or writing a business plan in these courses, students can gain confidence in their abilities to perform such tasks as entrepreneurs. Cox et al. (2002) highlight 11 tasks from three different phases of the development cycle of a new business - planning (ex: having an idea for an innovative business), ordering (ex: raising capital to start a business) and implementation (ex: managing a small business) – that can be worked on in the courses. Thus, entrepreneurial education is expected to increase students’ entrepreneurial self-efficacy as it provides mastery experience, role models, social persuasion and support, and involves them in running simulated or real small businesses (Pihie & Akmaliah, 2009). As Barbosa et al. (2020), suggest, hands-on learning opportunities provide a realistic view of the business world that ensures not only the applicability of the knowledge acquired in the classroom but also greater self-confidence in the career. Students’ entrepreneurial self-efficacy also tends to increase when they are exposed to the following experiences that may be present in entrepreneurship courses: lectures or case studies on successful real entrepreneurs, receiving positive feedback from others (teachers and peers), and achieving good performance on course assignments (Shinnar et al., 2014). Therefore:

H5: Entrepreneurial education has a positive impact on students’ entrepreneurial self-efficacy.

Based on the TPB, it is expected that by influencing positively entrepreneurial attitudes, perceived behavioral control, and subjective social norms, entrepreneurial education also contributes to increased entrepreneurial intentions. According to this theory, intentions function as a “portal” between the motivation phase and the action phase in entrepreneurship (Obschonka et al., 2015). The TPB has been tested empirically by several researchers to assess the impact of entrepreneurial education on students’ entrepreneurial intentions, and its value has been demonstrated consistently (Byabashaija & Katono, 2011; Fayolle et al., 2006; Gielnik et al., 2015; Heuer & Kolvereid, 2014; Mohamed et al., 2012; Rauch & Hulsink, 2015; Souitaris et al., 2007; Smith & Woodworth, 2012; Walter & Dohse, 2012). Therefore:

H6: Entrepreneurial education has a positive impact on students’ entrepreneurial intentions.

Individuals in the process of career choice first develop intentions to then engage in professional behavior, that is, actions directed to the entry into the labor market by an individual, from the perspective of the Socio cognitive Theory of Career Development (Lent et al., 1994). Following this logic, several empirical studies have shown that greater entrepreneurial intentions are related to actions in the direction of entrepreneurship.

Some teaching approaches favor this relationship. The categorization most used by researchers divides entrepreneurial education into three approaches: education about, for and through entrepreneurship (Lackéus, 2015). Education about entrepreneurship has a theoretical focus in order to develop a general understanding of the phenomenon (Kirby, 2007). Such courses are intended to assist students in assimilating and reflecting on existing content and resources. They usually resort to more traditional approaches, such as lectures and texts dealing with the theoretical basis of entrepreneurship (Penaluna, 2012). Teaching for entrepreneurship is a professionally oriented approach, aiming to provide entrepreneurs with the skills and knowledge necessary for the practice (Kirby, 2007; Lackéus, 2015). The goal is to foster an entrepreneurial mindset in students, usually through experiential learning, which seeks to enhance skills and abilities. This knowledge must be inserted in a specific context so that students can reflect on the future and visualize opportunities (Penaluna, 2012). Penaluna (2012) highlights the importance of a combination of theory and practice in curricula, that is, between learning about and for entrepreneurship, since practice must be supported by theory. Finally, teaching through entrepreneurship is a process-based approach, often through experience, in which students learn content through a real entrepreneurial procedure (Lackéus, 2015). Creation processes are used to assist students in understanding business, as well as skills and abilities (Kirby, 2007).

Especially in courses that adopt a logic of education "for" and "through" entrepreneurship, and not only "about" it (Lackéus, 2015), many students proceed to the execution of activities related to the initial stages of new businesses (Curtis et al., 2021). Examples of these activities include raising resources, hiring people, and acquiring facilities and/or equipment (Souitaris et al., 2007). Thus, higher values of nascent entrepreneurial behavior and “real” entrepreneurial behavior of students are expected (Gielnik et al., 2015; Premand et al., 2016; Rauch & Hulsink, 2015; Vasconcelos et al., 2020). Therefore:

H7: Entrepreneurial education has a positive impact on students’ nascent entrepreneurial behavior.

H8: Entrepreneurial education has a positive impact on students’ entrepreneurial behavior.

METHODOLOGY

This research is characterized by the quantitative approach, with primary data, and has a descriptive character, which seeks empirical evidence for theoretical precepts. Therefore, statistical data were analyzed to examine the impact of entrepreneurial education in light of the TPB. The quasi-experimental research design was implemented, in which the various measurements used were estimated twice, with an educational intervention between the two measurements. That is, the effects of the entrepreneurship course on undergraduate students were examined by measuring their entrepreneurial intentions, attitudes, self-efficacy, behaviors, knowledge and skills before and after taking the course (Easterby-Smith et al., 2015).

Data collection

The present study collected primary data through structured questionnaires among undergraduate students from six Brazilian universities, in 10 courses focused on entrepreneurship. Twelve teachers participated in the survey. Among the six universities, one is private and five are public. Survey questionnaires were made available on the Survey Monkey platform at the beginning of the courses (March/April 2019) and at the end of the courses (June/2019). Students were given access links to the questionnaires, which were completed electronically via mobile phones or computers. Most of the teachers provided a 15-minute time for filling up the questionnaire.

Sample

The social subjects surveyed, entrepreneurship students in Brazil, were chosen because they constitute the target population of the research, and not for convenience, as is commonly done in studies on entrepreneurial behavior (Vasconcelos et al., 2020). During the first data collection (at the beginning of the courses), among the 669 students who completed the questionnaire, 496 attended required courses in their curriculum, 113 elective courses and 55 students did not attend any entrepreneurship course. Most of these 55 students were freshmen in an engineering program whose curriculum did not include entrepreneurship subjects. During the second data collection (at the end of the course), 532 students completed the questionnaires. All these students took some entrepreneurship courses in the 1st semester of 2019. Not enough data were obtained from the control group (students who did not take entrepreneurship courses) during the 2nd data collection. In total, 786 students completed at least one of the questionnaires and 398 students completed the questionnaires in the pre- and post-research stages, which were considered for the final sample of the study for analysis purposes. Table 1 presents the descriptive data of the sample.


Table 1
Descriptive analysis of sample characterization variables
Notes: 1 = Foreign trade; 2 = Computer science; 3 = Biological sciences; 4 = Minimum wages. Elaborated by the authors.

In the sample of 398 students, 72% are undergraduate students in engineering and 18% undergraduate students in administration and/or foreign trade. Students from three Brazilian states participated in the present study: students from Minas Gerais represented 74.62% of the sample, those from Paraná 23.12%, and those from Santa Catarina 2.26%. The students were predominantly from the 1st year (77.6%) and male (62.6%), and were attending their first undergraduate courses (94.2%). Most had two years or less of work experience (83.7%). Only 25.4% had participated in the development of a new business, product or process, and 34.0% had studied other subjects related to business, innovation and/or entrepreneurship before the course in focus.

Most of the answers obtained refer to required courses (87.7%). In terms of content, the courses taken by the students surveyed are similar and use approaches "about" and "for" entrepreneurship (Lackéus, 2015). In the elective courses, the four main content areas were: introduction to entrepreneurship (e.g., the emergence of entrepreneurship and main fronts of study on the subject, entrepreneurship ecosystem, profile of entrepreneurs); development of soft skills (e.g., creativity, identification of opportunities, analysis of the behavioral profile of students); generic content on strategy and business, including the development of business plans, and management and strategy tools; and development of business models, including Canvas analysis. As for the required courses, the four main content areas were: soft skills development; content on intra-entrepreneurship; specific content focused on entrepreneurship in an area or theme (e.g., entrepreneurship in the health sector, social entrepreneurship, technological entrepreneurship, software legislation); and content on agile innovation. Specific content aimed at entrepreneurship in several areas, such as intellectual and industrial property, innovation and entrepreneurship environment, Brazilian tax structure, financing of ventures are little addressed, as well as issues aimed at financial and managerial support to small business owners. The percentages of total class time devoted to activities directly related to the entrepreneurship project, given as practical activities to students, were: 38.0% in elective courses and 14.5% in required courses2.

Regarding the pedagogical approaches used in the courses surveyed, the following activities were highlighted as the most frequent, both in elective and required courses: practical activities carried out in the classroom in groups (e.g., development of the business model Canvas), discussion and interaction between students and teachers to obtain knowledge and clarify questions, lectures by the teacher(s) with great interaction with the students and their presentations of group work on the development of a business model. ("elevator pitch") or a business plan.

Credit hours ranged from 54 to 75 hours in elective courses and from 18 to 68 hours in required courses. The weighted averages, by the number of students surveyed per course of these workloads, were 65.4 hours for electives and 26.0 hours for required courses. Teachers of elective courses had from one to seven years of experience teaching entrepreneurship courses to undergraduate students at Brazilian universities, while teachers of required courses had from two to eight years of experience.

Data collection instrument

The questionnaire was prepared using measures previously developed and validated in reference publications in the literature (Alsos & Kolvereid, 1998; Chen et al., 1998; Cox et al., 2002; De Noble et al., 1999; Hashimoto, 2017; Kolvereid, 1996; Souitaris et al., 2007; Walter & Dohse, 2012). Still, the questionnaire was tested with five students in December 2018, selected with the help of the teacher of an entrepreneurship course. The test was administered in person, in a printed version. Based on the tests, we found that the time taken to complete the questionnaire was less than 15 minutes, which we consider reasonable, and that the students had no difficulties understanding the questions asked. Few adjustments were suggested on some items to increase the clarity of the questions. Table 2a and Table 2b shows in detail the scales used and their respective sources.


Table 2a
Variables adopted and research instruments
Notes: 1 There were 3 items in the model about fundraising. The item “Convince a bank to lend you money to start a business” was removed, and the other items were adapted. The item on business model was added. Elaborated by the authors.


Table 2b
Variables adopted and research instruments
Notes: 2 The item “I prepared a business model using tools such as Business Model and Value Proposition Canvas” was added. Elaborated by the authors.

RESULTS

In order to define the constructs and create indicators to represent them, a confirmatory factor analysis was adjusted using the R software (version 3.6.1).Appendix A shows factor loadings of the items for each construct and the analysis of convergent validity, discriminant validity, dimensionality and reliability of the constructs of the measurement model. For all constructs, the Cronbach’s Alpha and Composite Reliability indices were higher than 0.60, thus showing their reliability. According to the Kaiser criterion, all constructs were one-dimensional, presented convergent validation, since the extracted variances (AVEs) were greater than 0.40, and discriminant validation, since the maximum shared variance of each construct was greater than the respective AVE.

The t-test of paired samples was used to test the impact of the courses on entrepreneurial attitudes, subjective social norms, perceived behavioral control, entrepreneurial self-efficacy, entrepreneurial knowledge and skills, entrepreneurial intentions, nascent entrepreneurial behavior and entrepreneurial behavior of the students considering the two collection times: Pre (1st data collection, at the beginning of the course) and Post (2nd data collection, after the end of the course). This analysis was conducted on two separate groups of the sample: students in required courses (349 students) and students in elective courses (49 students).

Using G*Power to calculate the sample size required for a paired t-test, we found that 44 individuals are necessary to achieve 90% test power, considering a medium effect size and 5% significance. Thus, with the present sample, we achieved sufficient power to compare pre- and post-times and both the elective and required groups.

Comparison of model indicators between times (Pre/Post)

Table 3 presents the descriptive analysis of the Likert scale items of the model for the required courses. Among the individuals who took required courses, there was a significant difference (p-value < 0.050) regarding the indicators of Entrepreneurial Attitudes, Entrepreneurial Self-efficacy (Research Phase), Entrepreneurial Self-efficacy (Implementation Phase), Management Knowledge and Skills, Entrepreneurial Intention and Nascent Entrepreneurial Behavior.


Table 3
Descriptive analysis of the Likert scale items of the model by time for required courses
Notes: ¹Bootstrap Interval. Elaborated by the authors.

Table 4 describes the variation of the items in the Likert scale of the model for the elective courses. Among this group of students, there was a significant difference (p-value < 0.050) regarding the indicators of Entrepreneurial Attitudes, Entrepreneurial Self-efficacy (Planning Phase), Entrepreneurial Self-efficacy (Ordering Phase), Entrepreneurial Self-efficacy (Implementation Phase), Entrepreneurial Knowledge and Skills (in Marketing, Innovation, Risk-taking and Finance).


Table 4
Descriptive analysis of the Likert scale items of the model by time for elective courses
Notes: ¹Bootstrap Interval. Elaborated by the authors.

Table 5 shows the descriptive analysis of dichotomous items by time and type of course. It thus shows the percentages of responses, for each activity, referring to the behavior of the “nascent” entrepreneur and the “real” entrepreneurial behavior.


Table 5
Descriptive analysis of the dichotomous items of the model by time and type of course
Note: Elaborated by the authors.

Table 6 compiles the results referring to the comparison between means of the model indicators (paired tests) between the times (pre/post) and by type of course. It is noteworthy that the scores were standardized (in relation to the standard deviation) for a better interpretation. The results show positive impacts on several indicators for students in elective courses and negative impacts on some indicators for students in required courses. Based on these data, the hypothesis tests performed were: H1 (Confirmed at 5% confidence level for the required course and rejected for the elective); H2 (Confirmed at 5% confidence level for both types of course); H3 (Rejected); H4 and H5 (Rejected for the required courses at 5% confidence level and confirmed for the electives); H6 (Confirmed at the 5% confidence level for the required course and rejected for the elective course); H7 (Confirmed at the 5% confidence level for both types of course); H8 (Rejected).


Table 6
Descriptive analysis of the dichotomous items of the model by time and type of course
Note: Elaborated by the authors.

DISCUSSION OF RESULTS

For elective course students, there were significant positive impacts on entrepreneurial attitudes, knowledge and skills, self-efficacy and nascent entrepreneurial behavior. However, there were no significant changes in the perceived behavioral control, subjective social norms, entrepreneurial intentions and entrepreneurial behavior. Despite contradicting the expectations postulated in the hypothesis, the lack of significant impact on students’ subjective social norms corroborates previous studies, such as Fayolle and Gailly (2015) and Walter and Dohse (2012).

Undergraduate courses hardly exert any influence on students’ family, friends and other relationships, which may explain this finding. The entrepreneurial intention of the students in the elective courses increased, but this increase was not statistically significant. From the point of view of nascent behavior, the results show that preparation for entrepreneurship in general occurred through the development of a business model using tools such as the Business Model Canvas. These students felt more capable of carrying out the activities related to developing a new business, but the courses also showed that "there are several things out of their control" that can prevent them from succeeding as entrepreneurs. Perhaps this is why the perceived behavioral control has not undergone a significant increase after the course.

The students of elective courses showed, in the first data collection (Pre), higher rates of perceived behavioral control, entrepreneurial attitudes and intentions than those of required courses. Even so, the impact of entrepreneurial education on students in elective courses was greater than in required courses, in these and other variables analyzed. A possible explanation of these results is that entrepreneurship elective courses allowed students to acquire knowledge and skills to undertake, showed positive aspects of the entrepreneurial career and even motivated students to prepare for a career as an entrepreneur.

For the students of the required courses, there was negative variation in the indicators of entrepreneurial attitudes, perceived behavioral control and entrepreneurial intention. The research thus corroborates the findings of Oosterbeek et al. (2010) and Von Graevenitz et al. (2010), which showed negative impacts of participation in required entrepreneurship courses on students’ entrepreneurial intention. These results are similar to those of Fayolle and Gailly (2015) and Walter and Dohse (2012), who found no significant impacts of entrepreneurship education on some aspects. Reinforcing the findings of Lima et al. (2014), Shinnar et al. (2014) and Oosterbeek et al. (2010), there was no significant impact on entrepreneurial self-efficacy. The null impact on entrepreneurial behavior is aligned with the results of Karimi et al. (2016). The only variable that showed positive variation for students in required courses was nascent entrepreneurial behavior, which was found for students in elective courses.

An important reflection regarding the elective entrepreneurship courses is the fact that students have chosen them themselves, which possibly contributes to having greater interaction with the teachers. As highlighted by Karimi et al. (2016), students of elective courses generally have an interest in entrepreneurial education and seek more knowledge and skills in this subject. With greater motivation, they tend to participate more actively in learning activities than students compelled to do so. In fact, additional questions included in the questionnaire, aimed at characterizing the pedagogical approaches, indicate that the electives surveyed present greater interaction of students with teachers and greater insertion of the teacher in the local entrepreneurship ecosystem, as Table 7 shows.


Table 7
Descriptive analysis and comparison of teaching methods by type of course in the students’ view
Notes: ¹Simulated Chi-Square Test. Elaborated by the authors.

Experiences in the teaching environment, such as junior companies and academic centers, are considered essential for the success of entrepreneurial education, according to the ecosystem-based perspective (Ribeiro & Plonski, 2020). In line with Curtis et al. (2021), the present study revealed different impacts of entrepreneurship education for groups with higher student interaction with teachers, higher teacher embeddedness in the local entrepreneurship ecosystem, higher course loads, and length of time attended (up to 3rd period or above 3rd period) - the active and experiential learning approach (Lackéus, 2015).

The elective courses, whose students are above the third term of the course and whose workloads are greater than those of the required courses, probably allowed a greater depth in the practical activities carried out, aimed at the creation of a new real business, in a more interactive way between teacher, monitors and students. The extensive course load, with a larger part of it dedicated to the entrepreneurship project, highlights the complexity of entrepreneurship education, which seems to require maturation time for experiential learning cycles. Previous literature (Lackéus, 2020) corroborates the understanding that the strongest effects come from hands-on, experiential approaches oriented toward learning by doing, i.e., the "hands-on" approach. It is noteworthy that most of the students of the required courses were in the 1st term of their programs. The maturity of these students is usually lower. Many “freshmen” are focused on achieving approval for technical courses and do not engage adequately in other courses. Without proper commitment, the results achieved tend to be lower. However, a greater number of variables presented statistically more significant results in the comparison between elective and required courses than in the comparison between other groups (greater or less interaction of students with the teacher, workload, term, insertion of the teacher in the local entrepreneurship ecosystem).

CONCLUSIONS

The present study aims to evaluate the impacts of entrepreneurial education on students of entrepreneurship courses at the undergraduate level of Brazilian universities. Thus, it addresses a relevant knowledge gap in this field, namely the dilemma of the effectiveness of entrepreneurship education. Sustained by conflicting and not always comparable empirical results (Nabi et al., 2017), this dilemma means that doubts remain about the best ways to foster entrepreneurship. The present study showed that elective entrepreneurship courses had greater positive impacts on the analyzed constructs (i.e., perceived behavioral control, entrepreneurial attitudes, entrepreneurial intention, and nascent entrepreneurial behavior) than required ones. Interestingly, required subjects negatively impacted entrepreneurial attitudes and intention, as well as perceived behavioral control; and increased only nascent entrepreneurial behavior.

Based on the TPB, the present study expands our theoretical understanding by incorporating entrepreneurial knowledge and skills into established models of entrepreneurship within the scope of educational interventions. It thus responds to the call of Lortie and Castogiovanni (2015) to expand the TPB’s background by integrating new constructs to explain entrepreneurial intention. For the application in the field of entrepreneurship, this is a key addition to the theory, in order to take into account an expanded understanding of entrepreneurial education that goes beyond the establishment of new businesses as the sole objective (Curtis et al., 2021; Lackéus, 2020). In addition, this study offers an important methodological contribution, as it performs a comparative analysis of several entrepreneurship courses through a robust empirical strategy, before and after education intervention (Rideout & Gray, 2013). Studies on the impacts of entrepreneurial education in Brazilian higher education had been restricted to post-intervention approaches and in a single course (Ribeiro & Plonski, 2020).

From a practical point of view, the results provide relevant insights for government agencies that formulate education and entrepreneurship policies and for universities that implement entrepreneurial education. The central message suggests that entrepreneurship courses should be offered on an elective basis, as their effectiveness depends to a large extent on students’ intrinsic motivation. That is, required "mass" entrepreneurial education for students in the first stages of their undergraduate studies proved to be ineffective. It is worth noting, however, as a limitation of the present study, that the course load, the interaction of students with teachers and the insertion of teachers in the local entrepreneurship ecosystem of the required courses analyzed are lower, which may also have contributed to the lower impacts of these courses. Thus, the present study does not allow the conclusion that required courses that encourage students to know more and be interested in entrepreneurship are inefficient, but it challenges universities to reflect on the validity of maintaining entrepreneurship courses as required without due practical knowledge, interaction with teachers and insertion into the local entrepreneurship ecosystem.

Other limitations of the present study are the use of students’ perceptions (subjective indicators) to measure the impacts of entrepreneurial education and the fact that the sample is not representative of entrepreneurship courses in Brazilian universities. In addition, the impacts were measured soon after the end of the courses, which does not always reflect the long-term impacts. It is possible that, only after a few years, students realize that the entrepreneurship course helped them develop their entrepreneurial intentions, behaviors and self-efficacies.

Conducting a third data collection, especially with students from the required courses in the sample, could contribute to a better understanding of the long-term impacts of entrepreneurship education. It would be interesting to apply the questionnaire in classes taught by the same teacher, with the same methodology, the same course load and at the same university, with a difference only in the type of course. Future studies that further clarify the differences (demographic and psychological) between students would represent a significant advance as well. Finally, the teaching of entrepreneurship does not occur only through courses, but also in conjunction with other resources offered by the institutional environment (Ribeiro & Plonski, 2020). New studies that adopt a holistic logic of analysis, addressing emphases of entrepreneurship rather than courses, can advance knowledge on the topic in the country.




Note: Acc. CRediT (Contributor Roles Taxonomy): https://credit.niso.org/

Material suplementario
Apéndices
Appendix A



Appendix A
Validation of the overall measurement model (factor loadings of the items for each construct and the analyses of convergent validity, discriminant validity, dimensionality and reliability of the constructs of the measurement model)
Notes: ¹Cronbach's alpha, ²Composite Reliability, ³Dimensionality, 4Extracted Variance; 5Maximum Shared Variance. Elaborated by the authors.

Información adicional

Article ID: 2443

JEL classification: L26, M13, I23

Editor-in-Chef 1 or Adjunct 2: 1 Dr. Edmundo Inácio Júnior, Univ. Estadual de Campinas, UNICAMP

Associate Editor: Dr. Eduardo Pinto Vilas Boas, Esc. de Empreendedorismo do SEBRAE (ESE)

Executive 1 or Assistant 2 Editor: 1 M. Eng. Patrícia Trindade de Araújo

Translation / Proofreading: Camila Cavalini Pedroso

Related item (IsTranslationOf): https://doi.org/10.14211/regepe.esbj.e2071

Conflit of interest statement: The authors declare that there is no conflict of interest. A previous version of this article was presented at the XXIII SemeAD: https://login.semead.com.br/23semead/anais/arquivos/1632.pdf

How to cite: Arruda, C., Burcharth, A., Barcellos, E. P., & Lourencini, S. P. (2023). Impacts of entrepreneurial education on brazilian higher education students: An empirical study comparing required and elective disciplines. REGEPE Entrepreneurship and Small Business Journal, 12(3), e2443. https://doi.org/10.14211/regepe.esbj.e2443

Acknowledgments

We would like to thank CER (Centro Sebrae de Referência em Educação Empreendedora) for the partnership to carry out this study.

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Notas
Notes
1 Among higher education students in Brazil, 5.7% already undertake (entrepreneurs), 21% think about undertaking in the future (potential entrepreneurs) and 73.3% of students do not intend to open a business (non-entrepreneurs) (Sebrae and Endeavor, 2016).
2 Averages weighted by the number of responding students of each course.
Notas de autor
a Author biography: Carlos Alberto Arruda de Oliveira is associate professor at Fundação Dom Cabral and XL Center - Center for Innovation, Excellence and Leadership. He also acts as an associate consultant to the Cambridge Family Enterprise Group. President of the Conselho da Biominas, he is part of the Conselho da Riva Incorporadora and Salesforce. He has a PhD from the University of Bradford in the United Kingdom, a Master's Degree in Administration from the UFMG and a Graduation in Engineering from the UFMG.
b Author biography: Ana Luiza Lara de Araújo Burcharth is a full-time professor at Fundação Dom Cabral and a visiting professor at the University of Aarhus, Denmark. She serves as adjunct coordinator of the Professional Master in Administration (MPA) at Fundação Dom Cabral. She completed her Ph.D. in Business Administration from the University of Aarhus in 2011. In addition, he studied at the Carlos III University of Madrid (sandwich doctorate), at the University of Aalborg (Msc. Knowledge, Innovation and Economic Dynamics), University of Nottingham (exchange) and Federal University of Minas Gerais (BA Economic Sciences).
c Author biography: Erika Penido Barcellos is a consultant at BTA (Betania Tanure e Associados), a consultancy in Business Development, Health and Organizational Vitality, with a focus on Culture and Leadership. integrated approach of theory and practice on strategic management, innovation, entrepreneurship and internationalization of Brazilian companies. Her great motivation is the view that her work has contributed to the development of Brazilian society. Co-author of several books and articles, she holds a degree in civil engineering from UFMG, a specialization in international business from FDC, a master's degree in administration from USP and an MBA with high honors from Boston University.
d Author biography: Samara Paganini Lourencini is an Innovation and Ventures consultant at Delloite. Graduated in Civil Engineering from UFMG, she held positions as Head of Product and Leader of Communities at GlobalTouch. She led the team dedicated to Training Community Leaders, using design sprint and agile methodologies. She was also responsible for leading the community towards innovation, such as at the Base27 Innovation Hub. She began her journey in innovation at FDC (Fundação Dom Cabral), where she carried out research covering the themes of innovation, social entrepreneurship and impact.

Corresponding author: ana.burcharth@fdc.org.br


Figure 1
Illustration of the general model of the TPB
Note: Elaborated by the authors from Ajzen (1991).

Figure 2
Hypothesis illustration model
Note: Elaborated by the authors.

Table 1
Descriptive analysis of sample characterization variables
Notes: 1 = Foreign trade; 2 = Computer science; 3 = Biological sciences; 4 = Minimum wages. Elaborated by the authors.

Table 2a
Variables adopted and research instruments
Notes: 1 There were 3 items in the model about fundraising. The item “Convince a bank to lend you money to start a business” was removed, and the other items were adapted. The item on business model was added. Elaborated by the authors.

Table 2b
Variables adopted and research instruments
Notes: 2 The item “I prepared a business model using tools such as Business Model and Value Proposition Canvas” was added. Elaborated by the authors.

Table 3
Descriptive analysis of the Likert scale items of the model by time for required courses
Notes: ¹Bootstrap Interval. Elaborated by the authors.

Table 4
Descriptive analysis of the Likert scale items of the model by time for elective courses
Notes: ¹Bootstrap Interval. Elaborated by the authors.

Table 5
Descriptive analysis of the dichotomous items of the model by time and type of course
Note: Elaborated by the authors.

Table 6
Descriptive analysis of the dichotomous items of the model by time and type of course
Note: Elaborated by the authors.

Table 7
Descriptive analysis and comparison of teaching methods by type of course in the students’ view
Notes: ¹Simulated Chi-Square Test. Elaborated by the authors.



Note: Acc. CRediT (Contributor Roles Taxonomy): https://credit.niso.org/

Appendix A
Validation of the overall measurement model (factor loadings of the items for each construct and the analyses of convergent validity, discriminant validity, dimensionality and reliability of the constructs of the measurement model)
Notes: ¹Cronbach's alpha, ²Composite Reliability, ³Dimensionality, 4Extracted Variance; 5Maximum Shared Variance. Elaborated by the authors.
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