Titlebook: Computational Learning Theories; Models for Artificia David C. Gibson,Dirk Ifenthaler Book 2024 The Editor(s) (if applicable) and The Autho

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AI Roles for the Team or Organization,This chapter takes the position of assisting the team with its mission given its membership. Conflicts from this perspective must be resolved to the benefit of the team rather than the individual, otherwise a team ceases to exist, causing ethical dilemmas to arise.

河流

AI Roles in Cultural Learning,Based on the network theory of culture at the macro level outlined in Chap. ., this chapter presents ideas for the development of AI applications that advance cultural exchanges, multicultural understanding, and interdisciplinary cultures.

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https://doi.org/10.1007/978-3-642-71378-1s are fundamental to educational outcomes and pedagogical strategies. More importantly, learning processes are the latent drivers of the dynamics of the complex educational system at all levels. The chapter then broadly introduces a new multidisciplinary framework that unifies learning theories with

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https://doi.org/10.1007/978-3-642-73312-3 ARCS model of motivation. The key concepts of the ARCS model are used to label the outcomes of transitioning from one Piagetian node to another, a process that is understood to be an imperative latent driver of sustainability, reproduction, learning, and growth during evolution.

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Aktuelle Themen der Psychoanalyseof Keller and Piaget, to discuss the causal learning cycle as an imperative of the evolution of intelligence. The chapter incorporates the principles of dissipative structure theory and autocatalysis to explain how learning processes evolve and self-organize, suggesting a paradigm shift in understan

揭穿真相

Therapiekonzept beim Kardiakarzinomt, and the incorporation of real-life experiences in learning. The Piaget-Keller-Kauffman mechanisms described at the micro level are extended into team and organizational learning and referenced with key theories as a bridge to a formal network structure of social cognition presented in the followi

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J. Hauss,P. Langhans,W. Sasse,H. Büntetions. The meso level is modeled by a 4-node network concerning how people learn. As the central assertion of the book is that learning is a universal drive toward increased agency, self-awareness and self-regulation, the meso level agent is the team or organization and the implications for AI enhan