Universitŕ e alta formazione

Margiotta, Umberto

doi:10.3280/for2009-078005

Cited by 3 publications

(6 citation statements)

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“…Específicamente, la enacción se refiere a actuar y conocer cómo la mente, el cuerpo y el mundo están interconectados. Según esta teoría, la acción y el conocimiento son un proceso único y en la enacción tanto el cuerpo como la mente tienen un papel significativo (Margiotta, 2015; Pellerey, 2021). La cognición, por tanto, se percibe como un proceso y no como un cálculo.…”

Section: El áMbito Propiamente Humanounclassified

“…Finally, human action, cited both in the enactive approach and in the explanation of the concept of consciousness, is a fundamental aspect that differentiates man from the intelligent machine. Nussbaum (2011), on a philosophical level, elaborated the principle of freedom associated with the agency of the individual (Margiotta, 2015). Human action is characterized by its intentionality, the end it wants to achieve, the why and the meaning that man attributes to his behaviour.…”

Section: The Properly Human Fieldmentioning

confidence: 99%

“…Por último, la acción humana, mencionada tanto por el enfoque enactivo como en la explicación del concepto de conciencia, es un aspecto fundamental que diferencia al hombre de la máquina inteligente. Nussbaum (2011), en el plano filosófico, elaboró el principio de libertad asociado a la agencia del individuo (Margiotta, 2015). La acción humana se caracteriza por su intencionalidad, el fin que quiere alcanzar, el porqué y el sentido que el hombre atribuye a su comportamiento.…”

Section: El áMbito Propiamente Humanounclassified

“…Specifically, enaction refers to acting and knowing how mind, body and world are interconnected. According to this theory, action and knowledge are a unique process, and in enaction, both the body and the mind have a significant role (Margiotta, 2015; Pellerey, 2021). Cognition, therefore, is perceived as a process rather than as computation.…”

Section: The Properly Human Fieldmentioning

confidence: 99%

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People and machines in communication / Personas y máquinas en comunicación

Jacomuzzi,

Alioto

2024

Studies in Psychology: Estudios de Psicología

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It was 1937 when Alan Turing published his most famous article in the Proceedings of the London Mathematical Society. In this work, for the first time, he presented an idealized description of the mathematical inner workings of such universal machines as would eventually become instantiated in what we now call computers. This extraordinary step in the history of ideas provided a theoretical boon that later on would prove important for the development of the computational theory of mind. According to this theory, the cognitive processes of human beings could be likened to the algorithms that apply to the representations of the external world. Based on this hypothesis, since the middle of the last century, attempts have been made to replicate the functioning of the human mind using a computer. The aim of this article is to present the differences that still exist between humans and intelligent machines. From ELIZA onwards, we have seen several developments including ALICE, up to XiaoIce. Despite the evolution of intelligent machines and the creation of social chatbots in particular, artificial intelligence still has shortcomings that set it apart from man: the way it knows, the lack of consciousness and of agency.

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Section: El áMbito Propiamente Humanounclassified

Section: The Properly Human Fieldmentioning

confidence: 99%

Section: El áMbito Propiamente Humanounclassified

Section: The Properly Human Fieldmentioning

confidence: 99%

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People and machines in communication / Personas y máquinas en comunicación

Jacomuzzi,

Alioto

2024

Studies in Psychology: Estudios de Psicología

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“…This controversy leads, on the one hand, to a primary focus on employment, an issue that is particularly relevant for countries that want to increase their competitiveness, with the risk of disregarding the holistic idea of sustainable development and the integral wellbeing of socio-ecological systems [14,18]. On the other hand, competences and skills [15], if understood in a transformative sense, could be the central pedagogical dispositif [19] to deal with today's challenges and shape the future [16].…”

Section: Introductionmentioning

confidence: 99%

Are We Talking about Green Skills or Sustainability Competences? A Scoping Review Using Scientometric Analysis of Two Apparently Similar Topics in the Field of Sustainability

Montanari,

Agostini,

Francesconi

2023

Sustainability

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The labor market is facing accelerating changes due to ecological challenges and the related increasing efforts towards sustainable development. Preparing learners for the world of work now requires an understanding of what skills workers will need to adequately address these changes. To deal with this issue, the research community has started to define “sustainability competences” and “green skills” to support educationalists and decision-makers to better manage the impact of sustainability on future jobs. However, in the current literature, the difference between “sustainability competences” and “green skills” is not clear. The aim of this article is to highlight the differences between the two concepts in order to support the dialogue between the various disciplines that address these topics. This paper is a scoping review that provides an outline of the scientometric analyses of publications in the field of sustainability, from the earliest in 1998 up to July 2023. Although the terms are interrelated, using the R package for analysis shows that “green skills” tends to refer more to specific environmental technical skills, while “sustainability competences” are primarily defined as key competences to promote the different dimensions of sustainability, i.e., competences useful for holistic human development

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Deep Understanding. Control of student understanding in university during distance and face-to-face learning

Marzano¹,

Miranda²,

Trinchero³

2021

Education Sciences and Society

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The health emergency of 2020 has led many university professors to wonder about how to check that the information presented in their lessons generates a correct conceptual representation in their students and, above all, to ask themselves if they have carried out the right training actions capable of triggering what is called deep understanding, that is a set of cognitive processes that produce durable and meaningful learning. This paper describes two experiences conducted in two different Italian universities that have been designed and implemented precisely with these objectives. The achieved results are very encouraging and could represent a starting point to reflect on the methodologies, teaching practices and tools to be used in distance and face-to-face university courses.

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Universitŕ e alta formazione

Cited by 3 publications

References 0 publications

People and machines in communication / Personas y máquinas en comunicación

People and machines in communication / Personas y máquinas en comunicación

Are We Talking about Green Skills or Sustainability Competences? A Scoping Review Using Scientometric Analysis of Two Apparently Similar Topics in the Field of Sustainability

Deep Understanding. Control of student understanding in university during distance and face-to-face learning

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