This methodological review explores the emerging field of domain-specific creativity assessment. It explores the potential of game-based learning analytics from a neuroscience perspective and examines the ability of real-time data collection to provide detailed insights into the cognitive and creative processes of domain-specific creativity. The review emphasizes the pedagogical implications of innovative methodologies and presents the advancement of individualized, adaptive learning systems of game-based environments to assess domain-specific creativity. To illustrate, the exemplary study uses a multimodal approach that integrates functional near-infrared spectroscopy (fNIRS) neuroimaging analysis, game log data, and screen recordings for creativity assessment. The study elucidates the theoretical frameworks linking neuroscience metrics to constructs such as creativity, learning styles, and achievement goal orientations. The conclusion outlines avenues for future research while acknowledging current limitations in the field, including the complexity of data analysis, financial constraints, and ethical considerations.