The Potential of Neuroscientific Approaches to Game Learning Analytics: A Methodological Review on Assessing Domain-Specific Creativity
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This methodological review explores the emerging field of domain-specific creativityassessment. It explores the potential of game-based learning analytics from a neuroscienceperspective and examines the ability of real-time data collection to provide detailedinsights into the cognitive and creative processes of domain-specific creativity. The reviewemphasizes the pedagogical implications of innovative methodologies and presents theadvancement of individualized, adaptive learning systems of game-based environmentsto assess domain-specific creativity. To illustrate, the exemplary study uses a multimodalapproach that integrates functional near-infrared spectroscopy (fNIRS) neuroimaginganalysis, game log data, and screen recordings for creativity assessment. The studyelucidates the theoretical frameworks linking neuroscience metrics to constructs suchas creativity, learning styles, and achievement goal orientations. The conclusion outlinesavenues for future research while acknowledging current limitations in the field, includingthe complexity of data analysis, financial constraints, and ethical considerations.
Abstract
This methodological review explores the emerging field of domain-specific creativityassessment. It explores the potential of game-based learning analytics from a neuroscienceperspective and examines the ability of real-time data collection to provide detailedinsights into the cognitive and creative processes of domain-specific creativity. The reviewemphasizes the pedagogical implications of innovative methodologies and presents theadvancement of individualized, adaptive learning systems of game-based environmentsto assess domain-specific creativity. To illustrate, the exemplary study uses a multimodalapproach that integrates functional near-infrared spectroscopy (fNIRS) neuroimaginganalysis, game log data, and screen recordings for creativity assessment. The studyelucidates the theoretical frameworks linking neuroscience metrics to constructs suchas creativity, learning styles, and achievement goal orientations. The conclusion outlinesavenues for future research while acknowledging current limitations in the field, includingthe complexity of data analysis, financial constraints, and ethical considerations.
참고문헌 (49)
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