Author:
Biswadip Ghosh
Affiliation:
Metropolitan State University of Denver, United States
Keyword(s):
Business Analytics, Project based Learning, Cognitive Outcomes, Motivation Theory.
Related
Ontology
Subjects/Areas/Topics:
Collaborative Learning
;
Computer-Supported Education
;
Higher Order Thinking Skills
;
Information Technologies Supporting Learning
;
Learning Analytics
;
Learning/Teaching Methodologies and Assessment
;
Project Based Learning and Engineering Education
;
Social Context and Learning Environments
Abstract:
Enterprise business analytics (BA) tools have gained significant attention as a viable option for
manipulating large data sets during complex business decision making. However, the cross-functional,
boundary spanning nature of these applications make them particularly difficult to learn for users, who
predominantly work in functional silos. A typical enterprise BA project involves aggregating large datasets
from multiple functional areas, discovering relationships in the data and building models to help visualize
and evaluate the selected key performance indicators (KPI). However, most BA learning programs
emphasize tool procedural or skill based knowledge, which does not allow end users to understand the
broader scope of enterprise analytics project implementations. Cross functional group project based learning
programs are needed to provide real world experiences, increasing the end user’s motivation to learn and
enhancing their cognitive outcomes. There is also a need to create va
lidated models to assess the outcomes
of these learning programs. This research study develops and conducts an innovative project based learning
program among the users of a leading ERP vendor’s analytics tool and collects survey data to confirm the
benefits of such group project based learning programs in enhancing the participant’s motivation to learn
and improving their cognitive outcomes that emphasize cross functional concepts.
(More)