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This study explores the extent of undergraduate students' engagement in interdisciplinary learning experiences across their academic journey and its potential correlation with elevated levels of self-efficacy in learning. Furthermore, the research investigates how the clarity of career decisions and future goals contributes to the perception of relevance, value and alignment of interdisciplinary learning experiences among undergraduate students.

Data were collected using a self-report questionnaire in a longitudinal survey administered annually to undergraduate students at a university in northern Taiwan over four waves from 2018 to 2021. The sample analyzed for this study consisted of 123 undergraduate students who willingly and continuously participated in the research throughout the specified period.

The results showed that self-efficacy within interdisciplinary learning experiences could be classified into three clusters: high efficacy, moderate efficacy and fluctuating efficacy. The determinants influencing these clusters include career decisions and years spent in university. Undergraduate students who have determined their career decisions and are in their latter two years of undergraduate studies demonstrate higher self-efficacy in interdisciplinary learning. Conversely, students who have yet to determine their career decisions exhibit a fluctuating pattern of self-efficacy across the three interdisciplinary learning categories.

Two key limitations of this research include a small sample size and a confined university-specific context, potentially constraining the applicability of the results to a broader population.

This study contributes to the interdisciplinary learning experience in higher education by explaining the significance of undergraduates' self-efficacy and career-related factors. Whereas most research has focused on the effects of self-efficacy, this study investigated the factors that influence undergraduates' self-efficacy.

Prioritization of technological skills in China has led to scarce resources for art education. In this study, we tested whether personality traits were associated with creative learning and creative thinking skills, and whether these aspects of creativity were linked with academic achievement. We considered self-efficacy and 21st-century skills as mediating and moderating factors.

498 art school coaches were recruited from 12 Chinese universities. Coaches reported on their students’ Big Five personality traits, creative thinking skills, creative learning and self-efficacy, 21st-century skills and academic achievement. Data were analyzed with partial least squares structural equation modeling.

High openness, low conscientiousness, high extraversion and high agreeableness were associated with creative thinking skills, while high openness, low conscientiousness, high agreeableness and low neuroticism were associated with creative learning. Creative thinking and learning skills were both positively associated with academic achievement. Self-efficacy partially mediated the association between creative thinking skills and academic achievement. No moderation effects were identified.

Findings imply that art education would benefit from deeper consideration of individual differences and the promotion of learning environments conducive to creativity.

University students often encounter academic challenges and setbacks, which can impact their beliefs about their capabilities, leading to a phenomenon known as learned helplessness. This study explores the antecedents of learned helplessness through the interaction between teacher support, self-efficacy, and cultural dimensions such as power distance, uncertainty avoidance, and masculinity.

Drawing from constructivism, the authors empirically examined a conceptual model utilizing structural equation modeling (SEM). A total of 268 university students completed a self-survey on learned helplessness via a Google Form.

The study shows that LH is influenced by personal attributes, perceived support, and cultural context. Higher self-efficacy is linked to lower LH scores, while teacher support indirectly affects LH through self-efficacy. Power distance and uncertainty avoidance also directly impact LH. Additionally, cultural influences indirectly affect LH through perceived support and self-efficacy. However, the hypothesized connections between masculinity and LH were not supported.

The study advances LH literature by exploring it among university students using a multidimensional, constructivist approach, providing valuable insights for educational authorities. We illuminate how individual, social, and cultural factors influence LH, underscoring the serial mediation between self-efficacy and perceived teacher support. Existing literature frequently overlooks the intricate interplay among cultural dimensions and other factors, limiting the formulation of comprehensive solutions. Our research breaks new ground in quantitative LH examination within education, delving into Hofstede’s cultural dimensions and suggesting strategies to mitigate uncertainty and power distance for student well-being and success.

This study aims to examine the mediating role of trainer preparation in the effect employee trainer self-efficacy has on trainer performance.

Using a census, data was collected from internal employee trainers in two universities in Ghana. In testing the hypotheses, a structural equation modelling based on 10,000 bootstrap samples was used, and the BCa confidence intervals were used to establish the significance of the hypotheses.

This study revealed trainer preparation as a complementary partial mediator in the effect trainee engagement self-efficacy and instruction self-efficacy had on trainer performance. In addition, the importance–performance map analyses demonstrated that the factor with the most importance in the model was instruction self-efficacy, yet it was not the highest-performing factor.

This study highlights the mediating role played by preparation in the effect of trainer self-efficacy on trainer performance. In addition, it adds to the dearth of studies that focus on employee trainers while at the same time using data from the trainers themselves.

This study examined the relationship between pedagogical self-efficacy and student course evaluations among an international sample of management education faculty. We also investigated gender’s moderating role in this relationship and its impact on the development of pedagogical self-efficacy.

We conducted semi-structured interviews with 20 professors at an international business school, identifying three subdomains of pedagogical self-efficacy: course design, classroom management, and feedback provision. We designed a 25-question faculty survey to measure pedagogical self-efficacy, administered it to 84 faculty members, and analyzed the data alongside 20,000 student course evaluations.

All three pedagogical self-efficacy domains significantly predicted student course evaluations. The self-efficacy of female faculty had a positive relationship with course evaluations across all subdomains. In contrast, the self-efficacy of male faculty had a negative relationship with course evaluations on the course design subdomain. Student evaluations of courses taught by women were 10% lower than those taught by males and male faculty had significantly higher self-efficacy ratings than their female counterparts.

The results suggest that interventions designed to boost pedagogical self-efficacy can enhance student learning, irrespective of faculty gender. However, given biases in how students perceive female faculty, it is likely that female and male faculty members develop self-efficacy differently.

This study is the first to examine how pedagogical self-efficacy affects course evaluations, focusing on gender as a potential moderator. We also added an international higher education perspective to self-efficacy theories.

In the cosmic expanse of the digital universe, a new celestial body emerges the Metaverse. This study embarks on an interstellar journey to scrutinize the dynamics of entrepreneurial learning (EL) and opportunity in the burgeoning realm of the metaverse. This study aims to understand how personal entrepreneurial characteristics (PEC) and Metaverse environment characteristics (MEC) influence these processes.

The study devotes a dual-lens approach, combining the power of interviews (Phase I) and the precision of a survey (Phase II). It harnesses the insights of the entrepreneurial event model (EEM) and the technology acceptance model (TAM), serving as twin beacons guiding our exploration of the constructs under PEC/MEC.

The study uncovers a fascinating tapestry of interwoven variables. Certain threads in the PEC/MEC weave significantly into the fabric of EL, which in turn embroiders the pattern of opportunity exploitation. However, some threads, namely, Metaverse scalability, entrepreneurial risk-taking and innovativeness, do not significantly contribute to the design of EL.

The findings serve as a compass for various stakeholders in the metaverse. They guide the design of entrepreneurial education programs, inform the development of user-friendly metaverse platforms, shape policies promoting entrepreneurship in the metaverse and provide strategic insights for entrepreneurs and investors.

This study is a trailblazer, being among the first to apply the EEM and TAM in the context of the Metaverse. It offers fresh perspectives on entrepreneurial processes in virtual environments, enriching the emerging narrative on metaverse entrepreneurship and charting unexplored territories for future research.

Artificial intelligence (AI) has the potential to address significant challenges in education, innovate learning and teaching practices and achieve SDG 4. However, existing literature often overlooks the behavioural aspects of students regarding AI in education, focusing predominantly on technical and pedagogical dimensions. Hence, this study aims to explore the significant relationships among AI literacy, AI usage, learning outcomes and academic performance of generation Z students in the Indian educational context.

The study used structural equation modelling (SEM) on Gen Z students born in the years 1997–2012 as a sample population for the research in the north Indian states like Punjab, Haryana, Himachal and regions like Chandigarh and N.C.R. Delhi.

The results established significant positive relationships between AI literacy, AI usage, AI learning outcomes and academic performance. Specifically, higher levels of AI literacy were associated with increased engagement with AI technologies and tools for learning purposes, leading to better learning outcomes and academic performance. The findings demonstrated that AI literacy plays a crucial role in providing effective learning experiences and fostering skills such as problem-solving and critical thinking among Gen Z students.

The implications of the study include the significance of integrating AI education initiatives into curricula, prioritising professional development programmes for educators and making sure that every student has equitable access to AI technologies.

The study introduces a novel perspective by examining variables such as AI literacy, AI usage, AI learning outcomes and academic performance and developing a model that has not been previously studied. It provides a new discourse and proposes a framework uniquely combining AI-infused curriculum design, educator empowerment, robust assessment mechanisms and sustainable practices.

A boundaryless career perspective suggests that career competencies are essential for employees who wish to advance their careers in high uncertainty. This study aims to propose an integrated conceptual model for career competencies to provide insights for employees and organizations by identifying what and how one can prepare and provide support for career development in an uncertain and complex work environment.

The integrated literature reviewed was adapted to provide a conceptual model for career competencies. All 77 studies were reviewed, guided by the intelligent career theory (ICT) and social cognitive career theory (SCCT).

The mechanisms of career competency development were examined through the interrelationship between three types of knowing; knowing-why, knowing-whom and knowing-how. Career competencies can be considered a developmental process, therefore, they could develop through various interventions and accumulate over time. Especially the results indicate that learning is an essential component of career competencies, as it increases self-efficacy and promotes a desire to achieve positive career outcomes.

This study provided a conceptual model, explored the mechanisms of career competency development and considered how career competencies influence career outcomes. Furthermore, it identified the context of the construct of career competencies by integrating the SCCT and ICT. Finally, it showed the inadequacy of existing research on negative factors of career competency outcomes and recommended further research to broaden the general context of career competency studies.

This study aims to conduct a comprehensive review of scholarly literature on the educational impacts of the metaverse, systematically identifying emerging themes, challenges and implications for metaverse education.

The study uses systematic literature review techniques using the Scopus database to investigate empirical studies and systematic reviews specifically examining the convergence of the metaverse and education.

The study shows that the metaverse has a substantial influence on education, emphasising immersive learning, real social interactions and the transformation of traditional frameworks. This paper identifies nine themes, illuminating the growing relevance of metaverse tools in academic institutions, influencing learning methods, outcomes and positive student dispositions.

This study provides a foundation for further investigations into the metaverse’s potential to disseminate knowledge and enhance comprehension of metaverse technologies. It explores the metaverse’s potential in relation to progress, upcoming trends and cultural awareness while highlighting obstacles that must be addressed for effective metaverse teaching.

This research paper makes a substantial scholarly contribution by undertaking a systematic analysis of empirical studies and identifying emerging themes in the area of metaverse education. It offers substantial insights into the transformative potential of metaverse education and its implications for pedagogical and instructional approaches in the digitised era through the analysis of fundamental inquiries.

Women's empowerment plays a pivotal role in achieving sustainable and sustainable development in developed and developing contexts. The present paper explores the effect of technology orientation (TO), entrepreneurial orientation (EO), and digital technology self-efficacy (DTSE) on digital innovation (DI) and women's empowerment (WE) among Saudi women.

This is a cross-sectional study which applies a deductive approach. The study collected data from women in Saudi Arabia actively involved in entrepreneurship and utilizing digital technology. The survey questionnaire is used as a prevalent tool to get responses. Finally, the study concludes based on 316 valid samples.

The structural equation modeling through SmartPls4, the results exert an insignificant effect of TO on both DI and women empowerment. The study confirmed a positive significant impact of EO on DI but not on WE. Moreover, the DTSE construct is found to be a significant and robust analyst of DI and WE. With regard to mediating effects, DI mediates the relationship between EO, DTSE and WE, but not between TO and WE.

The study's findings contribute to more comprehensive and effective initiatives that foster innovation, gender equality, and WE in entrepreneurial networks. The study would assist policymakers and planners in developing robust strategies focusing on digitalization to boost DI and WE through enhanced DTSE. The study would also offer guidelines for policymakers to achieve sustainable development goals (SDGs) generally and specifically for Saudi Vision 2030, which is particularly ambitious to promote WE.

The study fills the gaps by offering a bunch of predictors, i.e., TO, EO, DTSE and DI, which predict WE in the Saudi context.