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- ThinkBox: when gamification meets artificial intelligence: rethinking learning experiencesPublication . Pardim, Vanessa Itacaramby; Viana, Adriana Backx Noronha; Isaías, Pedro; Contreras Pinochet, Luis Hernan; Schnaider Nissimoff, Paula Sarita Bigio; França Carvalho, João ViníciusThis article argues that combining gamification with artificial intelligence (AI) can substantially redesign learning experiences in both education and corporate training by making them more engaging (via game elements like points, badges, narratives, and progression) while also becoming more adaptive and personalized through data-driven adjustment of difficulty, feedback, and rewards to different learner profiles (including motivational “player types,” e.g., via the Hexad model). It stresses that AI’s role should be supportive rather than substitutive—helping educators and trainers with operational tasks and analytics so they can focus on human aspects like dialogue, mediation, motivation, and critical thinking—while warning that the same integration can create ethical and social risks, such as excessive monitoring, manipulation of intrinsic motivation, privacy issues, bias, and widening inequalities through digital exclusion. The piece concludes that the promise of AI+gamification depends on human-centred, transparent, inclusive design, and calls for future research that tests impacts across contexts (including low-connectivity settings) and develops ways to mitigate bias and harmful dependencies.