INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue X October 2025
pitches, better reflect the iterative and uncertain nature of entrepreneurial practice (Secundo et al., 2021;
Primario, Rippa, & Secundo, 2024). Yet, researchers differ in their emphasis: some argue that these approaches
enhance practical decision-making and teamwork (Levkovskyi et al., 2021), whereas others indicate that they
overlook psychological dimensions such as motivation and confidence (Petersen, 2023). Evidence increasingly
shows that assessment performance correlates with entrepreneurial self-efficacy, which shapes students’ belief
in their capacity to act entrepreneurially (McGee et al., 2009; Randall et al., 2025). Therefore, integrating self-
efficacy indicators into assessment design provides a more balanced and explanatory measure of entrepreneurial
learning, linking visible behavior with the underlying psychological readiness essential for real-world
entrepreneurship.
Technological Factors
1. Technological Integration
Technology is no longer a peripheral support tool but a transformative driver of entrepreneurship education,
reshaping how knowledge is created, shared, and applied. While Davis’s (1989) Technology Acceptance Model
highlights perceived ease of use and usefulness as key determinants of digital adoption, recent studies argue that
these constructs alone are insufficient to explain the dynamic learning demands of entrepreneurship (Randall et
al., 2025; Akhtaruzzaman et al., 2024). Contemporary simulation-based approaches, for instance, extend beyond
usability by emphasizing experiential immersion and behavioral transformation, elements often overlooked in
early technology models. Furthermore, while proponents such as Levkovskyi et al. (2021) and Primario, Rippa,
and Secundo (2024) assert that technology fosters creativity, collaboration, and entrepreneurial self-efficacy,
critics caution that technological sophistication does not guarantee pedagogical effectiveness. Petersen (2023)
contends that without intentional instructional design, digital tools risk becoming superficial add-ons rather than
catalysts for deeper entrepreneurial learning. This underscores the need for digital readiness and pedagogical
alignment, particularly within MARA’s TVET ecosystem, where disparities in technological access and educator
preparedness remain persistent (Beranič & Heričko, 2022).
Human Factors
1. Student Engagement
Traditional classroom participation often promotes surface-level engagement, business simulations provide
deeper experiential involvement by exposing students to real-world entrepreneurial challenges (Levkovskyi et
al., 2021). Researchers argue that such immersive engagement enhances opportunity recognition and venture
creation (Zhao et al., 2021; Petersen, 2023), while others indicate that sustained engagement also cultivates
resilience, adaptability, and entrepreneurial intention, core attributes of entrepreneurial success (Akhtaruzzaman
et al., 2024; Chang et al., 2025). Hence, engagement within simulation-based learning represents not merely
participation but an active transformation of knowledge into entrepreneurial behavior.
2. Facilitative Teaching Practices
Researchers argue that this approach enables deeper cognitive processing, as educators act as mentors who
scaffold learning through structured reflection, feedback, and strategic decision-making (Petersen, 2023). In
contrast, directive teaching often limits students’ autonomy and risk-taking, the skills essential for
entrepreneurial success. Effective facilitative teaching thus requires educators to design meaningful, context-
driven activities that foster reflective dialogue, entrepreneurial resilience, and a growth-oriented mindset,
equipping learners to navigate uncertainty and innovation with confidence (Akhtaruzzaman et al., 2024; Chang
et al., 2025).
3. Institutional Supports
Access to resources and mentorship remains a decisive factor in entrepreneurial traits development, as
emphasized by the resource-based view (Barney, 1991). While traditional universities often benefit from
established networks, funding channels, and structured entrepreneurial ecosystems, TVET institutions frequently
operate with limited access to such support, constraining students’ opportunities for venture creation and
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