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Children born after 2010 are labelled as members of Generation Alpha, who currently pursue their primary education. Gamification and game-based learning methodologies have gained popularity in the global education sector in the recent past. The goal of this study is to investigate the present state of adopting gamification and game-based learning for primary education student cohorts, with the aid of recent peerreviewed research publications. By employing a systematic mapping design, reviewed paper results are categorized and further evaluated in relation to the attributes such as type of gamification, game mechanics and elements used, evaluation context, type of experimental outcome, gamified academic subject area, and type of application. With the aid of review results, this study proposes a mapping of gamification learning mechanics, suited to address Generation Alpha traits. It also recommends future research directions, which include investigating the realistic learning preferences of Generation Alpha, the need for designing novel educational game elements and adaptive gamification learning strategies, and the importance of long-term studies with diverse learner samples. The findings of this study will support prospective stakeholders, such as researchers, educators, parents, and educational policymakers, to utilize gamification approaches effectively in educating Generation Alpha. [ABSTRACT FROM AUTHOR]

Creativity mindset (CM), grit, and self-determination have been defined as critical motivational variables affecting learners' self-efficacy. Therefore, this study pioneers the examination of the relationship between these motivational variables and creativity self-efficacy (CSE) during game-based learning. A Creativity Mindset Inventory (CMI) and a game-based learning intervention were employed. Participants for developing the CMI were 281 3rd to 6th graders, and those for the intervention were 114 3rd and 4th graders. The result revealed that the CMI included four constructs (growth-internal control, growth-external control, fixed-internal control, and fixed-external control). Moreover, the employed intervention enhanced the children's growth CM and CSE. Regression analysis results suggest that self-determination mediates the influence of growth CM and grit on CSE. Additionally, growth CM, especially the growth-internal control CM, is a powerful predictor of self-determination and CSE. In contrast, fixed CM (the overall fixed CM, the fixed-internal control CM, or the fixed-external control CM) does not have any significant influence on self-determination or CSE. Notably, the findings of this study support that growth CM can be enhanced through a well scaffolded educational game. This study contributes to the field of game-based learning by developing a CM inventory, demonstrating a growth CM intervention, and clarifying influential factors to CSE during game-based training. While game-based learning has become popular among elementary school students, the findings of this study provide important insights into the design of game-based learning and creativity training. [ABSTRACT FROM AUTHOR]

It is challenging to utilize learning analytic technologies to examine gameplay log data for game-embedded assessment in the field of game-based learning. Analytical approaches based on a new perspective focusing on complicated contextual data are imperative in the current scenario. A relatively new concept called precision education, which focuses on individual learning and provides personalized and timely intervention to different learners, can be regarded as a new perspective for game-based learning. Additionally, the order of knowledge acquisition in the learning environment is a kind of learning path extracted from the contextual information of in-game behavior logs. Therefore, in this study, the authors propose a new analytical approach to identify learning path patterns and elucidate the features of these patterns for an educational game they developed. The statistical analysis shows that learners with diverse learning path patterns have different learning effects, suggesting that the learning path is an important factor in precision education. The practice of using the explanation method to examine the proposed approach can help us understand learners' knowledge acquisition and provide evidence for enhancing the accuracy of precision education and improving the quality of the educational game. The findings are expected to contribute to both game-based learning and precision education. [ABSTRACT FROM AUTHOR]