Para ello, es necesario encontrar nuevas estrategias y herramientas que permitan mejorar los procesos para identificar, reforzar y apoyar a las personas en su desarrollo y aprendizaje. Los avances en el estudio del funcionamiento del cerebro para el aprendizaje y el surgimiento de concepciones de la mente más abiertas y dinámicas como la Teoría de las IM, invitan a pensar que otra educación es posible y que se pueden lograr métodos de aprendizaje que reconozcan y respeten las diferencias entre las personas. Uno de los grandes retos de la educación del futuro es alcanzar un aprendizaje más personalizado e inclusivo, que garantice el desarrollo personal e intelectual de todas las personas con independencia de sus condiciones individuales, culturales y sociales. We argue that this model also aligns with a popular practitioner model, Raph Koster’s Theory of Fun for Game Design, and can unify currently differentially modelled gameplay motives around competence and curiosity. In different forms, balanced, Idle, and Soulslike games alike afford regular accelerations of uncertainty reduction. In gameplay as elsewhere, people enjoy doing better than expected, which can track learning progress. In this article, we show that Predictive Processing (PP) provides a coherent formal cognitive framework which can explain the fun in tackling game challenges with uncertain success as the dynamic process of reducing uncertainty surprisingly efficiently. Yet, current models struggle to explain why such balanced challenges best afford these experiences and do not straightforwardly account for the appeal of high- and low-challenge game genres like Idle and Soulslike games. Why do we seek out and enjoy uncertain success in playing games? Game designers and researchers suggest that games whose challenges match player skills afford engaging experiences of achievement, competence, or effectance-of doing well. In addition, the results indicate gender discrepancies with respect to investment preferences, financial commitment, and user representation. Consistent with role congruity theory, we find that expert badges and profile photos moderate the gender effect, suggesting that women are penalized unless their behavior aligns with gender expectations (e.g., being emotional, attractive, or sociable). By examining ~68,000 investments covering 6.5 years of activity on one of Europe's leading equity crowdfunding platforms for venture capital, we find supporting evidence of gender bias against and homophily among women, who account for 10.2% of investments and 9.3% of funding volume. We hypothesize that female investors attract less follow-up funding relative to male counterparts due to stereotypical judgments, but more female followers due to homophily. Drawing on herd behavior and information cascades theory, we hypothesize that gender cues predict how prospective followers respond to past investments throughout the campaign. We argue that considering gender gaps in equity crowdfunding from the investor perspective is relevant and timely, given the mutual observability and underlying social mechanisms of collective action that inform investment decisions, and the underrepresentation of female investors. The purpose of this study is to gain a better understanding of equity crowdfunding through the lens of gender.
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