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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM65182
Volume:
10 |
6 |
Jun 2026
Pages:
1-7
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

COMPUTER SCIENCE AND ENGINEERING
KUPPAM ENGINEERING COLLEGE

COMPUTER SCIENCE AND ENGINEERING
KUPPAM ENGINEERING COLLEGE
The rapid expansion of the digital and entrepreneurial economy has created significant opportunities for emerging creators and small-scale enterprises, yet many struggle to access practical, affordable, and personalized education that directly supports business growth and income generation. This project proposes the development of a tailor-made learning platform specifically designed to meet the unique needs of creators, freelancers, and small business owners at different stages of their entrepreneurial journey. The platform will offer customized learning pathways based on users’ skill levels, business goals, and industry focus, combining short, action-oriented modules with practical implementation tools such as business templates, marketing planners, financial trackers, and growth frameworks. Core learning areas will include branding, digital marketing, content creation and monetization, financial management, customer acquisition, and sustainable business strategy. Unlike conventional e-learning systems that emphasize theoretical knowledge, this platform will prioritize real-world application, measurable outcomes, mentorship support, and community engagement to ensure learners can immediately implement what they learn. By integrating adaptive learning technology with localized content and peer collaboration, the platform aims to bridge the gap between knowledge and execution, empower entrepreneurs with confidence and competence, and contribute to economic inclusion, innovation, and sustainable small business development in the evolving digital marketplace.
KEYWORDS
A Personalized Learning Platform for Emerging Creators and Small-Scale Enterprises. This paper presented the design and development of a personalized learning platform aimed at addressing the skill development challenges faced by emerging creators and small-scale enterprises. The study highlighted the limitations of conventional learning systems and emphasized the need for adaptive, flexible, and learner-centric platforms. Through an analysis of current trends, the paper demonstrated how personalization, microlearning, and community-driven learning environments are reshaping digital education. The proposed methodology detailed user profiling, adaptive learning path generation, and continuous performance evaluation, while the system architecture illustrated a scalable and modular framework capable of delivering customized learning experiences. In conclusion, the proposed personalized learning platform provides an effective solution for bridging skill gaps and enhancing productivity among creators and small enterprise owners. By integrating adaptive technologies, analytics-driven practical exposure and employability. Additionally, incorporating blockchain-based credentialing can ensure secure and verifiable certification of acquired skills. Enhancing data privacy mechanisms, multilingual support, and offline learning capabilities will further broaden accessibility and global adoption, making the platform more inclusive and sustainable for emerging creators and small-scale enterprises. feedback, and collaborative learning features, the system supports continuous skill enhancement and practical knowledge application. Although challenges such as data dependency, system complexity, and infrastructure costs exist, the proposed architecture establishes a strong foundation for future improvements. Overall, this work contributes to the advancement of inclusive and sustainable digital learning ecosystems, empowering emerging creators and small-scale enterprises to remain competitive in the evolving digital economy.
1. Atikah Shemshack & Jonathan M. Spector. A systematic literature review of personalized learning terms. Smart Learning Environments (2020). 2. Ali, S. R., Uddin, S. Z., Faraz, M., & Shuja, T. B. AI-Driven Personalized Learning in Entrepreneurship Education. Academy of Education and Social Sciences Review (2025). 3. Ramteja Sajja et al. Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education (2023). 4. Zhang Xiong et al. A Review of Data Mining in Personalized Education: Current Trends and Future Prospects (2024). 5. Junhua Zhu & Lan Luo. Designing the Future of Entrepreneurship Education: Exploring an AI-Empowered Scaffold System (2025).
Publication Date
6/19/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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