This paper aims to explore the relationship between architecture and social movements in general and the indeterminate architecture of ruin and an event of squatter protest in particular. As a speculative project it reflects upon an architectural setting in which a protest took place in 2011 at the University of Sydney in Australia. Examining the architecture of this specific event and the ways architecture allows such turbulent moments to emerge are the focus of this paper. In this examination I combine (...) the Foucauldian notion of dispositif with the emerging notion of studentification in order to understand the role of architecture as a significant element in the rise of urban uprisings. (shrink)

In this section, which forms part of my discussion of the relation and interaction between philosophy and science in the twentieth century, I will show that ‘naturalism’ has played a very crucial role. I consider this role a positive one. In fact, probably, naturalism has constituted the closest relation between philosophy and science. By considering the roots of different types of ‘naturalism’, we shall see that the current debates on naturalism have been an inevitable development. Here also I will show (...) that the current debates are inescapable for most philosophers. By considering some of the different versions of naturalism, I will show that the place of ‘naturalism’ in contemporary philosophy of science is a very crucial one. Finally, I will study the Quinean version of “Epistemology Naturalised”. I will argue that Quine’s version of naturalized epistemology is not as radical as is usually thought. I pursue it through a close reading of Quine’s original text. I will reveal some misunderstandings of Quine’s naturalized epistemology by shedding light on some of the relevant concepts including ‘purely descriptive epistemology’, ‘circularity’, ‘natural science’ and ‘normativity’. To do this, I will first illustrate some of the very different views on that in current debates among philosophers (and particularly philosophers of science) and scientists. (shrink)

Cognitive science, as an interdisciplinary research endeavour, seeks to explain mental activities such as reasoning, remembering, language use, and problem solving, and the explanations it advances commonly involve descriptions of the mechanisms responsible for these activities. Cognitive mechanisms are distinguished from the mechanisms invoked in other domains of biology by involving the processing of information. Many of the philosophical issues discussed in the context of cognitive science involve the nature of information processing. For philosophy of science, a central question is (...) what counts as a scientific explanation. But what is a mechanistic explanation and how does it work, how can philosophy of science use it as a solution for the problem of integration in cognitive science? By answering these questions and merging my answers with discussion of concepts of philosophy, normativity and generality, I will investigate the following claim. -/- I claim that philosophy by using strength concepts such as normativity, generality, and a mechanistic philosophy of explanations, can be a most important contributor to cognitive science. I also investigate how philosophy of science could be (can be) a bridge between psychology and neuroscience. We need a distinction between philosophy of cognitive science and philosophy in cognitive science; I am talking about the latter. -/- This claim is very important for the integration and the future of the interdisciplinary field known as cognitive science. -/- Philosophy as a true cognitive science -/- When the Cognitive Science Society was founded, in the late 1970s, philosophy, neuroscience, and anthropology were playing smaller roles. The three disciplines that formed the core group were artificial intelligence, psychology, and linguistics. The curious thing is that George Miller, a psychologist and an important founder of cognitive sciences in a hexagon diagram that he presented, put philosophy at the top of the diagram and neuroscience at the very bottom. There is enough agreement now that neuroscience is the most important contributor to cognitive science and there are fair connections between philosophy and neuroscience. In that diagram there was almost no connection between philosophy and neuroscience. -/- The developments and rise of cognitive science in the last half-century has been accompanied by considerable amount of philosophical activity. Perhaps no other area within analytic philosophy in the second half of that period has attracted more attention or produced more publications. (Bechtel and Graham, 1998. Rumelhart and Bly 1999. Bechtel, Mandik, Mundale 2001. Thagard, 2007. Bennett and Dennett et al, 2007. Bennett and Hacker, 2008. Andler, 2009. Frankish and Ramsey, 2012.) -/- Many philosophers of science offer conclusions that have a direct bearing on cognitive science and its practitioners can profit from closer engagement with the rest of cognitive science. For example, William Bechtel has discussed three projects, two in naturalistic philosophy of mind and one in naturalistic philosophy of science that have been pursued during the past 30 years, that he contends, can make theoretical and methodological contributions to cognitive science (Bechtel, 2009). Paul Thagard is another example of the mentioned emerging school of philosophers of science that define cognitive science as the interdisciplinary investigation of mind and intelligence (Thagard, 2006). Thagard by presenting some general but important philosophical questions such as, “What is the nature of the explanations and theories developed in cognitive science?”, and by providing answers to these central questions has showed how philosophy of science can help cognitive science by the advantage of its generality. Andrew Brook, however, believes that philosophical approaches have never had a settled place in cognitive science but he is listed in a group of the philosophers of science that they are contributing very closely the cognitive science (Brook, 2009). Daniel Dennett , as well as being a member the mentioned naturalistic philosophers of science, believes that there is much good work for philosophers to do in cognitive science if they adopt the constructive attitude that prevails in science. -/- What are mechanisms? Let us begin abstractly before considering an example. Mechanisms are collections of entities and activities organized together to do something (cf. Machamer, Darden, & Craver, 2000; Craver & Darden, 2001; Bechtel &Richardson, 1993; Glennan, 1996). These explanations are known as ‘mechanistic explanations’. By using and developing these mechanistic explanations of philosophy of science one can draw normative consequences for cognitive science. Paul Thagard (Thagard, 2006 and 2009), William Bechtel (Bechtel, 2008 and 2009), Andrew Brook (Brook, 2008) investigated and promoted using the ‘normativity’ in philosophy to show a better and crucial role for philosophy of science in an interdisciplinary known as cognitive science. Some philosophers have thought that, in order to pursue this normative function, philosophy must distance itself from empirical matters, but there are examples where the investigations of descriptive and normative issues go hand in hand. ( Thagard, 2009). -/- I will investigate how we can reduce a higher-level science such as psychology to neuroscience without the problems of reductionism but via mechanistic explanations. By problem I mean psychology does not lose its autonomy. -/- Conclusion -/- If cognitive science is all about understanding the human mind, or if cognitive science is the interdisciplinary investigation of mind and intelligence, since the whole life of philosophy was involving with the ways of knowing (epistemology) and conceptions of reality (metaphysics), also philosophy has considered the so-called mind-body problem ( identity theory, functionalism, and heuristic identity theory) , then philosophy could be the most deserved discipline to be a most contributor in cognitive science. I tried to discuss this by using the three advantages in philosophy, normativity, and generality and by introducing an emerging school of mechanistic (not mechanical) philosophers. One thing left, as cognitive science is a two-way street, philosophers need also to stop in a station of cognitive science and learn from the most important advances in brain and neuroscience. -/- . (shrink)

Flipped Learning is a pedagogical model that leverages technology-enhanced instruction inside and outside of class time to maximize student engagement and learning during class time. This study investigated the effectiveness of ICT-supported Flipped learning in an EFL context in Northern Iraq to contribute to sustainable personalized language learning. The participants were EFL students and teachers of a primary school in Raniyah. The study employed an experimental method to collect student data and a teacher questionnaire. The results indicated that Flipped learning (...) had statistically significant effects on the students’ academic performance and achievement. The mean scores of the post-tests scored higher than that of the pre-test. The mean scores of the EG with for the fifth grade and for the sixth grade were much higher than those of the CGs for the fifth grade and for the sixth grade which indicated that FL had a statistically great impact on the students’ academic performance and their product improvement. Besides, the results of the t-test showed a significant difference in performance between students in both EGs and CGs; the participants outstripped statistically significant on the post-test compared to the pre-test. The majority of the participants’ attitudes were positive toward Flipped learning, and they remarked that it had a significant role in learning compared to the conventional classes. The participant teachers quoted positive views on Flipped learning over traditional classes. (shrink)

Volume 32, Issue 1, March 2019, Page 67-69.

The purpose of this study was to investigate the difference between the performance of Iranian male and female EFL learners on the five dimensions of the California Critical Thinking Skills Test.88 learners, out of 120, who were selected through convenience sampling method, participated in this study. The researcher used a quantitative research method with one-group pretest posttest design. This group received some treatment in the form of “the Meeting-House Debate” strategy. Data analysis was done using descriptive and inferential statistics. Result (...) showed that there was no significant difference in the performance of males and females on the sub-scales measured; i.e. evaluation, analysis, inference, deductive reasoning, and inductive reasoning. It was concluded that gender did not have a significant effect on the students’ critical thinking skills. (shrink)

Writing a thesis or dissertation is a challenging procedure as it is one of the requirements of getting a graduate and postgraduate diploma. Writing an abstract like other parts of a thesis or dissertation has its criterion. For this reason, due to globalism, those abstracts written by non-native English speakers may lack some of the features of the abstract genre and move that must be included. This study examines the moves of M.A. and Ph.D. abstracts written by Turkish students between (...) the 2009 and 2019 academic years on foreign language education at Cyprus International University. The data consisted of 50 abstracts chosen randomly from the ELT department. For the analysis, Hyland’s five-move model has been used. The study results reveal that 40 abstracts did not follow the five moves that Hyland has put forward. Moreover, it can be stated that the absence of some moves in the abstracts may cause restraint for readers to comprehend these studies in terms of communicative purposes. (shrink)

In this paper, we study the effects of using an algorithm-based risk assessment instrument (RAI) to support the prediction of risk of violent recidivism upon release. The instrument we used is a machine learning version of RiskCanvi used by the Justice Department of Catalonia, Spain. It was hypothesized that people can improve their performance on defining the risk of recidivism when assisted with a RAI. Also, that professionals can perform better than non-experts on the domain. Participants had to predict whether (...) a person who has been released from prison will commit a new crime leading to re-incarceration, within the next two years. This user study is done with (1) general participants from diverse backgrounds recruited through a crowdsourcing platform, (2) targeted participants who are students and practitioners of data science, criminology, or social work and professionals who work with RisCanvi. We also run focus groups with participants of the targeted study, including people who use RisCanvi in a professional capacity, to interpret the quantitative results. Among other findings, we observe that algorithmic support systematically leads to more accurate predictions from all participants, but that statistically significant gains are only seen in the performance of targeted participants with respect to that of crowdsourced participants. Among other comments, professional participants indicate that they would not foresee using a fully-automated system in criminal risk assessment, but do consider it valuable for training, standardization, and to fine-tune or double-check their predictions on particularly difficult cases. We found that the revised prediction by using a RAI increases the performance of all groups, while professionals show a better performance in general. And, a RAI can be considered for extending professional capacities and skills along their careers. (shrink)

The extended neoteric ranked set sampling plan proposed by Taconeli and Cabral has proven to outperform many one stages and two stages ranked set sampling plans when estimating the mean and the variance for different populations. Therefore, in this paper, the likelihood function based on ENRSS is proposed and used for estimation of the parameters of the inverted Nadarajah–Haghighi distribution. An extensive Monte Carlo simulation study is conducted to assess the performance of the proposed likelihood function, and the efficiency (...) of the estimated parameters based on ENRSS is compared with the well-known ranked set sampling plan and some of its modifications. These modifications include the extended ranked set sampling plan and the neoteric ranked set sampling plan. The results as foreseeable were very satisfactory and gave similar results to Taconeli and Cabral’s 2019 results. (shrink)