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Abstract

The goal of this study was to (1) empirically examine factors that affect human performance in a simulation-based learning environment, employing the framework of the integrative theory of Motivation, Volition, and Performance (MVP) (Keller, 2008a) and (2) develop and statistically evaluate a mathematical MVP model that can be applied to other digital learning environments. The development of a mathematical MVP model can provide empirical support for the elements included in the MVP theory and serve as a tool for designing effective 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 that explained approximately 70% of the variation in student satisfaction through motivational and volitional processing variables suggested by the MVP theory. Students' interest and curiosity toward the learning environment had the highest positive predicting power on students' satisfaction, while the volition processing variable had the lowest predicting power. Implications for the digital learning environments design and directions for future research are discussed.