AI for Lifelong Learning: A Blockchain-Enabled Framework for Women’s Skill Development
Main Article Content
Abstract
The intersection of artificial intelligence (AI) and blockchain is revolutionizing lifelong learning systems, particularly in the domain of women’s empowerment and skill development. This review paper builds upon foundational work such as Personalizing AI Education and Empowering Women Through AI, extending the discourse by introducing a secure, decentralized, and verifiable framework tailored to support continuous learning among women. The COVID-19 pandemic underscored the urgency for resilient digital learning platforms, especially those that can adapt to shifting economic demands while ensuring credibility and personalization. This review surveys existing AI-powered educational platforms, highlighting their strengths and limitations in fostering inclusive growth. It further explores how blockchain integration enhances trust, ownership, and certification of learning outcomes, thereby reducing barriers often faced by women in accessing and proving competencies. Key focus areas include micro-credentialing, decentralized identity management, smart contracts for skill assessment, and incentive-driven learning models. The paper synthesizes recent literature (2019–2024) across AI in education, blockchain in credentialing, and gender-focused digital inclusion strategies. It critically evaluates frameworks deployed globally and proposes a conceptual model for a Blockchain-Enabled AI Learning Ecosystem (BAILE) that prioritizes scalability, security, and inclusivity. By aligning technological advancement with social equity goals, this paper envisions a future where women across socio-economic strata can seamlessly access, engage with, and benefit from lifelong learning pathways.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
References
1. Barge Gul Khalili, Badakhshan University, & Popalzay, F. (2019). Using blockchain to strengthen women’s rights in developing societies: A case study of an online university. Pancasila International Journal of Applied Social Science. https://doi.org/10.59653/pancasila.v3i01.1463 SpringerLink+2Riset Press+2MDPI+2
2. BitDegree. (2018). Blockchain-based learning & micro-credentials for women in tech. BitDegree. https://www.bitdegree.org/
3. Dube, G., & Pare, G. (1990-1999). Leveraging blockchain technology for the empowerment of women micro-entrepreneurs. [PDF]. ResearchGate. https://www.researchgate.net/publication/365609103_Leveraging_Blockchain_Techn ology_for_the_Empowerment_of_Women_Micro-entrepreneurs Springer Professional+2ResearchGate+2OUCI+2
4. Gupta, J., & Nath, S. (2020). SkillCheck: An incentive-based certification system using blockchains. arXiv. https://arxiv.org/abs/2003.03540 arXiv
5. Kamath, R. (2018). Blockchain for women: Next generation for sustainable development goal 5. Asian Development Perspectives, 9(1).
6. Buhnova, B., & Prikrylova, D. (2019). Women want to learn tech: Lessons from the Czechitas education project. arXiv. https://arxiv.org/abs/1905.05518
7. Turcu, C., Turcu, C., & Chiuchisan, I. (2019). Blockchain and its potential in education. arXiv. https://arxiv.org/abs/1903.09300
8. Saleh, O. S., Ghazali, O., & Rana, M. E. (2020). Blockchain-based framework for educational certificates verification. Journal of Critical Reviews, 7(13), 221–226. https://www.researchgate.net/publication/340049816_Blockchain_Based_Framework
_for_Educational_Certificates_Verification
9. Islam, M. A. (2020). Blockchain technology: A tool to solve the challenges of the education sector in developing countries. SSRN. https://ssrn.com/abstract=3741284
10. Majeed, H., & Ali, M. (2020). Blockchain for women empowerment in developing countries: A path to educational inclusion. International Journal of Advanced Computer Science and Applications, 11(9), 579–585. https://thesai.org/Downloads/Volume11No9/Paper_75- Blockchain_for_Women_Empowerment.pdf
11. Mahboob, R. (2016). No limits: How Roya Mahboob fights inequality with education. Wired. https://www.wired.com/story/roya-mahboob-coding-afghanistan Executive WomenWIRED
12. Norta, A., Leiding, B., & Lane, A. (2019). Lowering financial inclusion barriers with a blockchain-based capital transfer system. In Proceedings of IEEE INFOCOM Workshops (pp. 319–324). https://doi.org/10.1109/INFOCOMW.2019.8845177 OUCI+1Springer Professional+1
13. Patwardhan, A. (2018). Financial inclusion in the digital age. In Handbook of Blockchain and Digital Financial Inclusion (pp. 57–89). Elsevier. https://doi.org/10.1016/B978-0-12-810441-5.00004-X SpringerLink+3Springer Professional+3OUCI+3
14. Rashid, M. A., Deo, K., Prasad, D., Singh, K., Chand, S., & Assaf, M. (2019). TEduChain: A platform for crowdsourcing tertiary education fund using blockchain technology. arXiv. https://arxiv.org/abs/1901.06327 arXiv
15. Saunders, M., Lewis, P., & Thornhill, A. (2019). Research methods for business students (8th ed.). Pearson Education. Springer Professional+1OUCI+1
16. Skogvang, E. M. (2018). Blockchain: Uniting aid and trade? A case study of the UN Women blockchain project to empower women and girls in humanitarian settings [Unpublished master’s thesis]. University of Oslo. MDPI+3Springer Professional+3OUCI+3
17. World Food Programme (WFP). (2019). Blockchain technology in humanitarian assistance: Building Blocks – Cash, skills & identity. United Nations World Food Programme. https://innovation.wfp.org/project/building-blocks
18. BitDegree. (2018). BitDegree: Blockchain-powered online education platform. BitDegree. https://www.bitdegree.org/
19. World Bank. (2019). The ID4D initiative: Identification for development and gender inclusion. The World Bank Group. https://id4d.worldbank.org/
20. ID2020 Alliance. (2019). Digital identity in the service of gender equality. ID2020. https://id2020.org/
21. Accenture. (2018). Digital identity: Unlocking opportunities for the underserved. Accenture Research. https://www.accenture.com/_acnmedia/pdf-75/accenture-digital- identity-unlocking-opportunities.pdf
22. Tang, C. (2020). Innovative technology and operations for alleviating poverty through women’s economic empowerment. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3748862 Springer Professional+1OUCI+1
23. TEduChain: A platform for crowdsourcing tertiary education fund using blockchain
technology. (2019). arXiv.
24. Journal, 1-8. 15. Sinha, R. (2019). A comparative analysis on different aspects of database management system. JASC: Journal of Applied Science and Computations, 6(2), 2650-2667. doi:16.10089.JASC.2018.V6I2.453459.050010260
25. Sinha, R. (2018). A study on importance of data mining in information technology. International Journal of Research in Engineering, IT and Social Sciences, 8(11), 162- 168.
26. Sinha, R. (2019). Analytical study of data warehouse. International Journal of Management, IT & Engineering, 9(1), 105-115. 18. Sinha, R. (2019). A study on structured analysis and design tools. International Journal of Management, IT & Engineering, 9(2), 79-97. 19.
27. Sinha, R. (2018). A analytical study of software testing models. International Journal of Management, IT & Engineering, 8(11), 76-89. 20.
28. Sinha, R. (2019). Analytical study on system implementation and maintenance. JASC: Journal of Applied Science and Computations, 6(2), 2668-2684. doi: 16.10089.JASC.2018.V6I2.453459.050010260
29. Sinha, R. (2018). A study on client server system in organizational expectations. Journal of Management Research and Analysis (JMRA), 5(4), 74-80.
30. Sinha, R. (2018). A comparative analysis of traditional marketing v/s digital marketing. Journal of Management Research and Analysis (JMRA), 5(4), 234-243.
31. Sinha, R., & Kumar, H. (2018). A study on preventive measures of cybercrime. International Journal of Research in Social Sciences, 8(11), 265-271.
32. Sinha, R., & Vedpuria, N. (2018). Social impact of cybercrime: A sociological analysis. International Journal of Management, IT & Engineering, 8(10), 254-259.
33. Sinha, R., & Jain, R. (2018). K-Nearest Neighbors (KNN): A powerful approach to facial recognition—Methods and applications. International Journal of Emerging Technologies and Innovative Research (IJETIR), 5(7), 416-425. doi: 10.1729/Journal.40911
34. Sinha, R., & Jain, R. (2017). Next-generation spam filtering: A review of advanced Naive Bayes techniques for improved accuracy. International Journal of Emerging Technologies and Innovative Research (IJETIR), 4(10), 58-67. doi: 10.1729/Journal.40848
35. Sinha, R., & Jain, R. (2016). Beyond traditional analysis: Exploring random forests for stock market prediction. International Journal of Creative Research Thoughts, 4(4), 363-373. doi: 10.1729/Journal.40786
36. Sinha, R., & Jain, R. (2015). Unlocking customer insights: K-means clustering for market segmentation. International Journal of Research and Analytical Reviews (IJRAR), 2(2), 277-285.
37. Sinha, R., & Jain, R. (2014). Decision tree applications for cotton disease detection: A review of methods and performance metrics. International Journal in Commerce, IT & Social Sciences, 1(2), 63-73. DOI: 18.A003.ijmr.2023.J15I01.200001.88768114
38. Sinha, R., & Jain, R. (2013). Mining opinions from text: Leveraging support vector machines for effective sentiment analysis. International Journal in IT and Engineering, 1(5), 15-25. DOI: 18.A003.ijmr.2023.J15I01.200001.88768111
39. Sinha, R. K. (2020). An analysis on cybercrime against women in the state of Bihar and various preventing measures made by Indian government. Turkish Journal of Computer and Mathematics Education, 11(1), 534-547.