Developing and Assessing E-Learning Techniques for Teaching Forecasting

Abstract

In the modern business environment, managers are increasingly required to perform decision making and evaluate related risks based on quantitative information in the face of uncertainty, which in turn increases demand for business professionals with sound skills and hands-on experience with statistical data analysis. Computer-based training technologies allow the new cadre of business professionals to obtain such a hands-on experience in an environment where mistakes can be made and outcomes can be measured. The authors discuss their experiences in developing a new e-learning tool designed to apply methodological forecasting concepts to real-life business and finance problems through an interactive self-learning and self-assessing module of online case studies.