Learning to use the Internet as a study tool: a review of available resources and exploration of students' priorities

Background: The Internet is a valuable information tool, but users often struggle to locate good quality information from within the vast amount of information available. Objectives: The aim of the study was to identify the online information resources available to assist students develop Internet searching skills, and to explore the students' priorities in online guides. Methods: A qualitative approach was adopted with two phases. The first was a structured search of available online study skills resources. The second comprised 10 group interviews with a total of 60 students at all stages of five undergraduate health and social care related courses at a UK university. Results: The study found that there were good online guides available, but that, perversely, the better guides tended to require the best searching skills to locate them. A few students were enthusiastic about using online support, however the majority felt that if they had the skills to locate such resources they wouldn't use a study guide to improve these skills, and if they did not have the skills they would not think of using an online guide to develop them. Conclusions: Students wanted assistance when they had problems or questions, rather than sites that offered structured learning experiences. Personal support rather than virtual support was also considered to be most important to the students in this study

A Return to Simple Sentences

This paper replies a number of objections brought against the solution to Jennifer Saul's puzzle of failure of substitutivity in transparent contexts presented in my 2001 paper "Alter Egos and Their Names"

Loar's Compromised Internalism

According to Brian Loar, an adequate theory of intentionality must acknowledge the fundamental role phenomenology plays in the determination of intentional content. It must take into account individuals’ experience of their intentional states, from a subjective point of view. From this perspective, intentional content is internally determined (given that phenomenology is). On the other hand, Loar is convinced (by arguments given by Tyler Burge) that mental states also have externally determined contents, fixed by objective facts about thinkers’ sociolinguistic environments. This paper argues that Loar’s theory of intentionality is compromised by his acceptance of the Burgean intuitions (which do not, their power and influence notwithstanding, support anti-individualism) and by an overly narrow view of the scope of phenomenology

Introspection, Phenomenality, and the Availability of Intentional Content

Some analytic philosophers have recently been defending the thesis that there’s “something it’s like” to consciously think a particular thought, which is qualitatively different from what it’s like to be in any other kind of conscious mental state and from what it’s like to think any other thought, and which constitutes the thought’s intentional content. (I call this the “intentional phenomenology thesis”). One objection to this thesis concerns the introspective availability of such content: If it is true that intentional phenomenology is constitutive of intentional content, and that conscious phenomenology is always introspectively available, then it ought to be true that the content of any concept consciously entertained is always introspectively available. But it is not. For example, one can know introspectively that one is thinking that one knows that p without knowing introspectively what the content of the concept of knowledge is. Hence, it cannot be that intentional content is constituted by cognitive phenomenology. I explore three responses to this objection. First, it is not clear that all of the contents of consciousness must be equally available to introspection. The capacities for conscious experience and introspective attention to it are distinct. It is not implausible that the resolving power of the latter might be insufficient to discern all of the fine-grained details of the former, or that its scope might be limited. Second, it is possible that in cases of incomplete accessibility one is entertaining only part of the concept the relevant term expresses in one’s language. In the knowledge case, for example, perhaps one is thinking only that one has justified true belief that p (one’s self-attribution of a thought about knowledge is in fact false). Finally, in such cases one might be consciously entertaining only part of the relevant concept, the rest remaining unconscious, and so unavailable to conscious introspection. I conclude that the objection is not decisive against the intentional phenomenology thesis

A Bayesian approach to parameter estimation for kernel density estimation via transformations

In this paper, we present a Markov chain Monte Carlo (MCMC) simulation algorithm for estimating parameters in the kernel density estimation of bivariate insurance claim data via transformations. Our data set consists of two types of auto insurance claim costs and exhibit a high-level of skewness in the marginal empirical distributions. Therefore, the kernel density estimator based on original data does not perform well. However, the density of the original data can be estimated through estimating the density of the transformed data using kernels. It is well known that the performance of a kernel density estimator is mainly determined by the bandwidth, and only in a minor way by the kernel choice. In the current literature, there have been some developments in the area of estimating densities based on transformed data, but bandwidth selection depends on pre-determined transformation parameters. Moreover, in the bivariate situation, each dimension is considered separately and the correlation between the two dimensions is largely ignored. We extend the Bayesian sampling algorithm proposed by Zhang, King and Hyndman (2006) and present a Metropolis-Hastings sampling procedure to sample the bandwidth and transformation parameters from their posterior density. Our contribution is to estimate the bandwidths and transformation parameters within a Metropolis-Hastings sampling procedure. Moreover, we demonstrate that the correlation between the two dimensions is well captured through the bivariate density estimator based on transformed data.Bandwidth parameter; kernel density estimator; Markov chain Monte Carlo; Metropolis-Hastings algorithm; power transformation; transformation parameter.