Research suggesting digital games could enable learning, sparked focus on commercial games. These games also enabled training and learning in an intrinsically motivating approach. This then led studies to focus attention on game-based learning (GBL), serious games which were games with educational goals and had purposes other than pure entertainment. In our study, we develop gaming artefacts using the e-ADR (elaborated-Action Design Research) approach. It is a research method for generating prescriptive design knowledge. The original process mode of ADR was extended to give us the e-ADR. The gaming artefacts developed using e-ADR were used to perform game analytics on demographic data. Game analytics has become necessary for designers to comprehend the experiences of users interacting with games. Measures of performance and user experience collected from users were used to analyze player performance. Finally, we construct a theoretical framework that melds aspects of self-determination theory (SDT) and cognitive load theory (CLT). This includes an experimental study to analyze the effects of psychological variables on player performance metrics obtained from our gaming artefacts.