learning paradox
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2021 ◽  
Vol 4 (4) ◽  
pp. 37-60
Author(s):  
Libert Alonso Vergara Novoa ◽  
Dany Andrey Latorre Mendez

The impact of Information and Communication Technologies (ICTs) on learning remains one of the most controversial topics among scholars. There are experts who see them as the cornerstone of a revolution in education but others consider that ICTs have been overrated, as it was the case with radio and television in the twentieth century. This study attempted to analyze the potential and actual value of ICTs on learning and cognition, based on a qualitative content analysis that allowed to contrast the results of 150 research articles published between 2006 and 2021, with international reports and scholars’ contributions to the topic in discussion.


Author(s):  
Samuel J. Millard ◽  
Carrie E. Bearden ◽  
Katherine H. Karlsgodt ◽  
Melissa J. Sharpe

AbstractSchizophrenia is a severe psychiatric disorder affecting 21 million people worldwide. People with schizophrenia suffer from symptoms including psychosis and delusions, apathy, anhedonia, and cognitive deficits. Strikingly, schizophrenia is characterised by a learning paradox involving difficulties learning from rewarding events, whilst simultaneously ‘overlearning’ about irrelevant or neutral information. While dysfunction in dopaminergic signalling has long been linked to the pathophysiology of schizophrenia, a cohesive framework that accounts for this learning paradox remains elusive. Recently, there has been an explosion of new research investigating how dopamine contributes to reinforcement learning, which illustrates that midbrain dopamine contributes in complex ways to reinforcement learning, not previously envisioned. This new data brings new possibilities for how dopamine signalling contributes to the symptomatology of schizophrenia. Building on recent work, we present a new neural framework for how we might envision specific dopamine circuits contributing to this learning paradox in schizophrenia in the context of models of reinforcement learning. Further, we discuss avenues of preclinical research with the use of cutting-edge neuroscience techniques where aspects of this model may be tested. Ultimately, it is hoped that this review will spur to action more research utilising specific reinforcement learning paradigms in preclinical models of schizophrenia, to reconcile seemingly disparate symptomatology and develop more efficient therapeutics.


Author(s):  
Stephanie Chandler-Jeanville ◽  
Rita Georges Nohra ◽  
Valerie Loizeau ◽  
Corinne Lartigue-Malgouyres ◽  
Roger Zintchem ◽  
...  

Due to their frontline position to fight the coronavirus disease 2019 (COVID-19), the professional and personal life of nurses was severely disrupted. To understand and describe their lived experiences and perceptions during the pandemic’s first wave in France, we interviewed 49 nurses, including 16 nursing students, and 48 of their family members from June to July 2020. Using a purposeful sampling, the semi-structured interviews were scripted according to Abric’s method with probing questions. The interview analysis led to the identification of six paradoxical perceptions concerning the pandemic’s consequences: the Silence Paradox, the Hero Paradox, the Workforce Paradox, the Learning Paradox, the Symbolic Exchange Paradox, and the Uncertainty Paradox. However, despite different experiences, the nurses perceived their frontline position both as a burden jeopardizing their safety and well-being and as a spotlight of nurses’ tough working conditions. Indeed, because they were in the frontline position, nurses and nursing students were psychologically vulnerable, even more so when they felt alone and inadequately protected. Besides, their families were vulnerable too, as they were also exposed to the consequences of the nurses’ frontline engagement. Thus, to preserve their safety and well-being, institutions should also provide them with better organizational support and inclusive leadership, without neglecting their families.


2021 ◽  
pp. 135050762097936
Author(s):  
Ziyun Fan ◽  
Patrick Dawson

Gossip is pervasive at the workplace, yet receives scant attention in the sensemaking literature and stands on the periphery of organization studies. We seek to reveal the non-triviality of gossip in processes of sensemaking. In drawing on empirical data from an observational study of a British Media firm, we adopt a processual perspective in showing how people produce, understand, and enact their sense of what is occurring through gossip as an evaluative and distinct form of informal communication. Our research draws attention to the importance of gossip in the routines of daily practice and the need to differentiate general from confidential gossip. We discuss how gossip continuously informs learning as evaluative sensemaking processes that encourages critiques and evaluation to shape future action and behavior. Within this, we argue how confidential gossip can challenge power relations while remaining part of formal authority structures, constituting forms of pragmatic and micro-resistance. This shadowland resistance provides terrain for learning that both criticizes and preserves espoused values and cultural norms. We conclude that confidential gossip as an evaluative and secretive process provokes a learning paradox that both enables and constrains forms of resistance in reinforcing and simultaneously questioning power relations at work.


2021 ◽  
Vol 32 (2) ◽  
pp. 108-127
Author(s):  
Fabienne Berger-Remy ◽  
Marie-Eve Laporte ◽  
Isabelle Aimé

For most companies, digital transformation is at the top of the agenda. This article digs into the tensions faced by the marketing organization, which, along with other departments dealing with business intelligence, is particularly affected by the ongoing digital transformation. The goal of this research, which builds on the theory of paradox, is to explore how and to what extent these tensions produce changes inside large marketing organizations, which, in turn, leads to potential reconfigurations. A qualitative thematic study was conducted. It included 16 in-depth interviews with high-level internal and external consultants and data collected at 12 conferences. The findings show that the digital transformation of marketing is leading to unprecedented complexity. More specifically, they show the tensions resulting in three paradoxes: a learning paradox (the combination of traditional and digital marketing skills), an organizing paradox (both expertise and a holistic view), and a performing paradox (both customer and brand centricity). The findings also highlight the resolution strategies that these organizations adopt as they attempt to respond to these paradoxes. On this basis, different possible scenarios emerge and are discussed regarding the reconfiguration of the marketing organization.


2020 ◽  
Vol 2020 (1) ◽  
pp. 12624
Author(s):  
Raphael Boemelburg ◽  
Alexander Zimmermann ◽  
Maximilian Palmié
Keyword(s):  

2020 ◽  
Vol 10 (3) ◽  
pp. 70-78
Author(s):  
Janne Kuivalainen ◽  
Iivari Kunttu ◽  
Marko Kohtamäki

2020 ◽  
Vol 19 (3) ◽  
pp. 333-346 ◽  
Author(s):  
Xander Keijser ◽  
Hilde Toonen ◽  
Jan van Tatenhove

Abstract Both policy-makers and scholars acknowledge and emphasize the need for learning in maritime spatial planning (MSP). However, few explain why learning is important. As such, it remains a vague and understudied process and is taken for granted and assumed to be and do “only good” which might hinder an in-depth assessment of the effectiveness of learning in policy-making. In this paper, we investigate whether, and if so in what way, explicit attention is given to learning in MSP. In this way, we try to unpack a (plausible) “learning paradox” and gain more insight into the different conceptualizations of learning in MSP. We use seven dimensions to examine learning in MSP by conducting a literature review of scientific MSP literature and a case study, which analyzes learning in the Dutch MSP process. The literature review and case study point to a “learning paradox” in MSP, showing both similarities and differences. The common lack of attention for risk and ambiguities is particularly problematic, while the existing clarity about who (should) learn and how can be seen as opportunities to gain insights in learning in MSP. Overall, we argue that acknowledging the paradox is paramount to improve the effectiveness of learning processes in MSP.


2018 ◽  
Vol 5 (11) ◽  
pp. 180778 ◽  
Author(s):  
Johan Lind

There is a new associative learning paradox. The power of associative learning for producing flexible behaviour in non-human animals is downplayed or ignored by researchers in animal cognition, whereas artificial intelligence research shows that associative learning models can beat humans in chess. One phenomenon in which associative learning often is ruled out as an explanation for animal behaviour is flexible planning. However, planning studies have been criticized and questions have been raised regarding both methodological validity and interpretations of results. Due to the power of associative learning and the uncertainty of what causes planning behaviour in non-human animals, I explored what associative learning can do for planning. A previously published sequence learning model which combines Pavlovian and instrumental conditioning was used to simulate two planning studies, namely Mulcahy & Call 2006 ‘Apes save tools for future use.’ Science 312 , 1038–1040 and Kabadayi & Osvath 2017 ‘Ravens parallel great apes in flexible planning for tool-use and bartering.’ Science 357 , 202–204. Simulations show that behaviour matching current definitions of flexible planning can emerge through associative learning. Through conditioned reinforcement, the learning model gives rise to planning behaviour by learning that a behaviour towards a current stimulus will produce high value food at a later stage; it can make decisions about future states not within current sensory scope. The simulations tracked key patterns both between and within studies. It is concluded that one cannot rule out that these studies of flexible planning in apes and corvids can be completely accounted for by associative learning. Future empirical studies of flexible planning in non-human animals can benefit from theoretical developments within artificial intelligence and animal learning.


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