Bibliografía: Rebecca Marrone
Nº de publicaciones: 3Detalles Cerrar โ
Tipo: artículo
Metodología: revisión bibliográfica
Temas: inteligencia artificial
Resumen:
The research objective of this paper is to advance knowledge about the role of artificial intelligence (AI) in complex problem-solving. A problem is complex due to the large number of highly inter-connected variables affecting the problem state. Complex problem-solving situations often change decremental or worsen, forcing a problem solver to act immediately, under considerable time pressure. While research findings support the assumption that (1) affective, (2) (meta-)cognitive, and (3) social processes support complex problem-solving, opportunities of AI for supporting complex problem-solving need to be further investigated. This article presents a scoping review of relevant...
Detalles Cerrar โ
Tipo: artículo
Metodología: trabajo teórico
Temas: inteligencia artificial
Resumen:
The proliferation of AI in many aspects of human life—from personal leisure, to collaborative professional work, to global policy decisions—poses a sharp question about how to prepare people for an interconnected, fast-changing world which is increasingly becoming saturated with technological devices and agentic machines. What kinds of capabilities do people need in a world infused with AI? How can we conceptualise these capabilities? How can we help learners develop them? How can we empirically study and assess their development? With this paper, we open the discussion by adopting a dialogical knowledge-making approach. Our team of 11 co-authors participated in an orchestrated written...
Detalles Cerrar โ
Tipo: artículo
Metodología: trabajo teórico
Temas: inteligencia artificial
Resumen:
Predictions of the timelines for when machines will be able to perform general cognitive activities that rival humans, or even the arrival of “super intelligence”, range from years to decades to never. For researchers in the education sector, the potential future state of AI, while provocative, is secondary to important shorter-term questions that influence how AI is integrated into learning and knowledge practices such as sensemaking and decision making. AI is not a future technology. It is already present in our daily lives, often shaping, behind the scenes, the types of information we encounter. It is, therefore, important to consider immediate questions surrounding the dynamics of human...
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