Empirical Research on the Relationship Between Teaching and Scientific Research Based on Educational Big Data in China

Author(s):  
Yuyao Li ◽  
Hailin Fu ◽  
Yong Tang ◽  
Chengzhou Fu
2009 ◽  
pp. 77-94
Author(s):  
Paolo Migone

- Some problems of the relationship between psychotherapy and scientific research are examined. The following aspects are discussed: the theory of demarcation between science and non-science, the problem of replicability, "hard" and "soft" sciences, complexity and chaos theory, the levels of probability and indeterminacy, the inductive-deductive circle, abduction, etc. Clinical material is presented in order to exemplify the issues under discussion. Some of the problems met by empirical research in psychotherapy (for example the manualization of psychotherapy techniques) are described, and the phases of the history of psychotherapy research movement are summarized. (This intervention is a discussion of the paper by the physicist Ferdinando Bersani "Replicability in science: Myth or reality?". Psicoterapia e Scienze Umane, 2009, XLIII, 1: 59-76). [KEY WORDS: science, psychotherapy research, epistemology, replicability, psychoanalytic research]


2018 ◽  
Vol 17 (4) ◽  
pp. 461-479 ◽  
Author(s):  
Sílvia Gomes ◽  
Vera Duarte

The main purpose of this article is to discuss some ethical-methodological issues associated with scientific research in confinement settings, particularly those that result from the relationship with the confined individual in the framework of qualitative research. Basing the reflection on empirical research developed by both authors in Portuguese confinement settings – prisons and youth educational centres – we examine the significant challenges and dilemmas this type of research entails, exploring the interface between procedural ethics and ethics in practice at three points in the analytical process: before, during and after data collection. This article illustrates the interplay between formal and informal procedures, and between the initial distancing and strangeness when making contact with confinement settings and their social actors and the institutional and relational dynamics that become ingrained in our everyday practice. Our goal is to give visibility to these institutional and relational dynamics and to reflect on the challenges experienced by those who enter confinement settings to do research, in an effort to make the research process more transparent and at the same time more reflexive. We end our reflection advocating more ethically committed and critical scientific research.


2020 ◽  
Vol 3 (7) ◽  
pp. 108-113
Author(s):  
K. V. KURNOSOV ◽  

The article considers the issue of the relationship between the phenomenon of patriotism and socio-political conflicts; presents scientific research related to this issue; a possible approach to assessing the influence of patriotism on the prevention of socio-political conflicts in modern Russia is revealed.


2017 ◽  
Vol 21 (1) ◽  
pp. 12-17 ◽  
Author(s):  
David J. Pauleen

Purpose Dave Snowden has been an important voice in knowledge management over the years. As the founder and chief scientific officer of Cognitive Edge, a company focused on the development of the theory and practice of social complexity, he offers informative views on the relationship between big data/analytics and KM. Design/methodology/approach A face-to-face interview was held with Dave Snowden in May 2015 in Auckland, New Zealand. Findings According to Snowden, analytics in the form of algorithms are imperfect and can only to a small extent capture the reasoning and analytical capabilities of people. For this reason, while big data/analytics can be useful, they are limited and must be used in conjunction with human knowledge and reasoning. Practical implications Snowden offers his views on big data/analytics and how they can be used effectively in real world situations in combination with human reasoning and input, for example in fields from resource management to individual health care. Originality/value Snowden is an innovative thinker. He combines knowledge and experience from many fields and offers original views and understanding of big data/analytics, knowledge and management.


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