AI's Influence on Entrepreneurship and Online Learning: An In-depth Analysi

Published Date : 6/9/2025 

The integration of artificial intelligence (AI) in entrepreneurship and online education has revolutionized the way we learn and do business. This article explores the key findings from a systematic review of 489 peer-reviewed articles, highlighting the major themes and future research directions. 

The convergence of artificial intelligence (AI), entrepreneurship, and online education has gained significant traction in recent years, driven by rapid technological innovation and increasing demands for flexible learning and business solutions. This study aims to map and analyze the intellectual structure of this interdisciplinary field through a comprehensive bibliometric and topic modeling approach.

Drawing from 489 peer-reviewed articles published between 2010 and 2024 sourced from Scopus and Web of Science, the study employs the Bibliometric R-package and Latent Dirichlet Allocation (LDA) for data analysis. The findings reveal five major thematic clusters, with 'Teaching and Pedagogical Innovations' and 'Innovative Learning Models and Entrepreneurship' emerging as dominant areas.

The bibliometric analysis highlights China, the UK, and the US as leading contributors to the field. These countries have been at the forefront of developing and implementing AI technologies in educational and business contexts. The study's originality lies in its dual methodological approach and its identification of underexplored themes, offering future research directions.

One of the most significant areas identified is 'Teaching and Pedagogical Innovations.' This cluster focuses on how AI can enhance teaching methods and improve student engagement. For instance, AI-powered chatbots and virtual assistants are being used to provide personalized learning experiences, offer instant feedback, and support students in their learning journey. These tools not only help in addressing the diverse needs of students but also reduce the workload on teachers, allowing them to focus on more complex and creative aspects of teaching.

Another prominent area is 'Innovative Learning Models and Entrepreneurship.' This cluster explores how AI can be leveraged to foster entrepreneurial skills and mindset among students. By providing access to real-world data, AI tools can help students understand market trends, identify business opportunities, and develop innovative solutions. This is particularly important in today's rapidly changing business landscape, where adaptability and innovation are key to success.

The study also highlights the importance of policy and regulatory frameworks in supporting the integration of AI in education and entrepreneurship. Policymakers need to ensure that the necessary infrastructure, training, and resources are available to educators and entrepreneurs. Additionally, ethical considerations, such as data privacy and algorithmic bias, must be addressed to ensure that AI technologies are used responsibly and equitably.

The research provides actionable insights for academic institutions, policymakers, and industry stakeholders. For academic institutions, the findings suggest the need to invest in AI-driven educational tools and curricula that prepare students for the future job market. Policymakers can use the insights to develop supportive policies and regulations that promote the adoption of AI in education and entrepreneurship. Industry stakeholders can benefit from the research by exploring new opportunities for collaboration and innovation.

In conclusion, the study contributes to the theoretical development of digital entrepreneurship and AI-enhanced education. It offers a comprehensive overview of the current state of the field and identifies key areas for future research. As AI continues to evolve, its impact on education and entrepreneurship is likely to grow, presenting both challenges and opportunities for stakeholders in these domains.

The research was conducted by a team of scholars from Yakin Dogu Universitesi, Karadeniz Teknik Universitesi, Trabzon Universitesi, and the Educational Sciences Department University of Kyrenia. These institutions are known for their contributions to the fields of education and technology, and their collaboration has resulted in a robust and insightful study. 

Frequently Asked Questions (FAQS): 

Q: What is the main focus of the study?

A: The main focus of the study is to map and analyze the intellectual structure of the interdisciplinary field of AI, entrepreneurship, and online education through a comprehensive bibliometric and topic modeling approach.

Q: What are the five major thematic clusters identified in the study?

A: The five major thematic clusters identified in the study are: Teaching and Pedagogical Innovations, Innovative Learning Models and Entrepreneurship, Ethical Considerations, Policy and Regulatory Frameworks, and Future Research Directions.

Q: Which countries are leading contributors to this field?

A: China, the UK, and the US are the leading contributors to the field of AI, entrepreneurship, and online education.

Q: How can AI enhance teaching methods?

A: AI can enhance teaching methods by providing personalized learning experiences, offering instant feedback, and supporting students through AI-powered chatbots and virtual assistants.

Q: What are the ethical considerations in the use of AI in education and entrepreneurship?

A: Ethical considerations in the use of AI in education and entrepreneurship include data privacy, algorithmic bias, and the responsible and equitable use of AI technologies. 

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