Authors :
M. Ponuselvi; Dr. N. Rajathilagam
Volume/Issue :
Volume 10 - 2025, Issue 2 - February
Google Scholar :
https://tinyurl.com/4sf4xn43
Scribd :
https://tinyurl.com/yvm7crnp
DOI :
https://doi.org/10.38124/ijisrt/25feb1498
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
This study examines how well young adults (18–25 years old) retain financial knowledge while using AI-powered
financial literacy platforms against conventional teaching techniques. Young adults need to be financially literate in order to
make complicated financial decisions about their independent living, work, and education. In contrast to more conventional
approaches like lectures, workshops, and printed materials, this study examines whether AI-driven platforms—which feature
personalized learning routes, interactive exercises, and adaptive feedback—produce better knowledge retention. Participants
are randomized to either a regular learning group or an AI-powered platform as part of the study's quasi-experimental
approach. Pre- and post-tests measuring both immediate knowledge growth and retention over a specified period (e.g., three
months) are used to evaluate financial knowledge. Machine learning algorithms are incorporated into the AI platform used in
this study to tailor the learning process according to each learner's progress and preferred method of learning. Financial
professionals conduct a series of interactive workshops to train the traditional learning group. The study examines how the
two groups differed in their acquisition and retention of knowledge while taking engagement levels, learning preferences, and
past financial knowledge into account. The study also investigates user happiness and perceived user experience with both
learning approaches. The results will provide light on how AI-powered platforms could improve young adults' financial
literacy instruction and guide the creation of more potent educational initiatives. The ultimate goal of this research is to help
this crucial group become more financially competent and make wise financial decisions.
Keywords :
Artificial Intelligence, Financial Literacy Platforms, Financial Knowledge Retention, Young Adults.
References :
- Arthur, J. (2020). Artificial Intelligence in Education: The Role of AI in Learning and Development. Springer.
- Baker, R. S. (2019). Artificial Intelligence and Learning: Impact on Student Performance and Engagement. Journal of Educational Psychology, 111(1), 1-16.
- Choi, H., & Lee, J. (2021). Financial Literacy and Financial Behavior of Young Adults: A Comparative Study between Traditional Education and Digital Platforms. Journal of Financial Education, 47(2), 45-60.
- Lusardi, A., & Mitchell, O. S. (2014). The Economic Importance of Financial Literacy: Theory and Evidence. Journal of Economic Literature, 52(1), 5-44.
- Hwang, G. J., & Chen, P. L. (2020). Engagement and Achievement in Interactive Digital Learning Environments: A Case Study in Financial Literacy. Computers & Education, 143, 103672.
- Zhu, L., & Li, Y. (2021). Comparing Digital Learning Platforms and Traditional Methods in Enhancing Financial Literacy: A Review of Literature. International Journal of Educational Technology, 18(2), 123-139.
- OECD (2020). Financial Literacy and Education in Schools: An International Perspective. Organisation for Economic Co-operation and Development.
- Finra Investor Education Foundation (2022). National Financial Capability Study: Young Adults and Financial Literacy. FINRA.
- Baker, M. D., & Smith, J. (2018). The Impact of Gamification in Financial Literacy Programs. Journal of Financial Education, 45(4), 233-248.
- Harvard Business Review (2022). The Future of Financial Education: How AI is Changing the Game.
- Kaiser, S., & Jordan, M. (2023). AI in Financial Literacy Education: Current Trends and Future Prospects. Journal of Emerging Technologies in Education, 14(2), 101-118.
This study examines how well young adults (18–25 years old) retain financial knowledge while using AI-powered
financial literacy platforms against conventional teaching techniques. Young adults need to be financially literate in order to
make complicated financial decisions about their independent living, work, and education. In contrast to more conventional
approaches like lectures, workshops, and printed materials, this study examines whether AI-driven platforms—which feature
personalized learning routes, interactive exercises, and adaptive feedback—produce better knowledge retention. Participants
are randomized to either a regular learning group or an AI-powered platform as part of the study's quasi-experimental
approach. Pre- and post-tests measuring both immediate knowledge growth and retention over a specified period (e.g., three
months) are used to evaluate financial knowledge. Machine learning algorithms are incorporated into the AI platform used in
this study to tailor the learning process according to each learner's progress and preferred method of learning. Financial
professionals conduct a series of interactive workshops to train the traditional learning group. The study examines how the
two groups differed in their acquisition and retention of knowledge while taking engagement levels, learning preferences, and
past financial knowledge into account. The study also investigates user happiness and perceived user experience with both
learning approaches. The results will provide light on how AI-powered platforms could improve young adults' financial
literacy instruction and guide the creation of more potent educational initiatives. The ultimate goal of this research is to help
this crucial group become more financially competent and make wise financial decisions.
Keywords :
Artificial Intelligence, Financial Literacy Platforms, Financial Knowledge Retention, Young Adults.