An Intelligent Question Answering System for Teaching Financial Literacy

• In Event: Advanced Technologies for Learning Poster Session

Abstract

Question answering systems have shown promise as a learning tool in several fields but are yet to be used in the financial literacy domain. The objective of this research is to build an intelligent question answering (IQA) system using state of the art natural language processing technology and test its effectiveness in helping students learn personal finance. The purpose of the system is twofold – one as an intelligent system for practicing and two as a scaffolding tool for finding answers to questions. We find large significant learning gains with the affordances of the IQA system contributing to the gains. These promising results suggest that an IQA system could be effective as a support tool for improving learning of personal finance.

Authors

• J.D Jayaraman, New Jersey City University

• John B. Black, Teachers College, Columbia University

• Neha Bharambe, New Jersey City University

• Sandhya Suryanarayana, New Jersey City University