Teaching and Educational Methods
Using Data Analytics and Decision-Making Tools for Agribusiness Education
Matthew S. Elliott(a) and Lisa M. Elliott(a)
(a)South Dakota State University
JEL Codes: A22, A29, Q13
Keywords: Agribusiness, data analytics
Publish Date: March 26, 2020
Volume 2, Issue 2
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Abstract
The agriculture sector has entered a new era wherein every stage of the supply chain involves gathering an increasing amount of data. Most of these data are generated in real-time and require rapid analysis that can support optimal decision making for agribusinesses to remain competitive. Consequently, employers desire that students gain data analysis skills in agribusiness classes to best inform optimal decision making. This paper discusses how data analytics have been incorporated into an agribusiness management course.
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Articles in this issue
Using Data Analytics and Decision-Making Tools for Agribusiness Education
Matthew S. Elliott and Lisa M. Elliott
Personalizing Online Classes: The Use of Evaluation and Participation Tools
Luis Peña-Lévano
Teaching Information Literacy: A Case Study of the Ripple Effect in Teamwork
Christiane Schroeter, Lindsey Higgins, Hannah Hank, and Caitlin Stevenson
Facilitating Higher Order Learning: Examining Student Outcomes after a Course Redesign
Anna Josephson, Larry DeBoer, Dave Nelson, and Angelika Zissimopoulos
Hedging with Futures: An Experiential Learning Game
John Michael Riley
The Do Now: A Simple, but Effective Active Learning Strategy
LaPorchia A. Collins