Development and Statistical Evaluation of a Mathematical Model of Motivation, Volition, and Performance

• In Event: Instructional Systems and the Construction of Knowledge

Abstract

The goal of this study was to examine factors affecting human performance in a simulation-based learning environment using the framework of the integrative theory of Motivation, Volition, and Performance (MVP) (Keller, 2008a), and to develop and statistically evaluate a mathematical MVP model that can be applied to other digital learning environments. A regression analysis of motivational, volitional, and performance data of 62 graduate students that interacted with an online simulation revealed a significant model explaining approximately 70% of students’ satisfaction variance by motivational and volitional processing variables suggested by the MVP theory. The developed mathematical MVP model provides empirical support for the elements included in the MVP theory and can serve as a tool for designing effective digital learning environments.

Author

• Elena Novak, Western Kentucky University