My supervisor kindly gave me a macbook to use in the office. I am still carrying my laptop around everyday, because I couldn’t find a way to transfer all my onenote files on to Mac. I noticed that Office 2008 word had a Notebook Layout View, which was exactly what I wanted. However, I couldn’t figure a way to transfer the onenote files to it yet. Help!
http://blogs.msdn.com/macmojo/archive/2008/01/07/word-notebook-layout-view.aspx
If you are a Mac user, strongly recommend this Notebook Layout View.
Riel said, “thinking may give us our identity, but sharing our ideas offers the possibility of intellectual immortality across time and space” (Riel 1998).
Quite like this quote…
The definitions used by the Higher Education Statistical Agency (HESA) are based on the Frascati Manual:
Research and experimental development (R&D) comprises creative work undertaken on a systematic basis in order to increase the stock of knowledge, including knowledge of man, culture and society and the use of this stock of knowledge to devise new applications. R&D is a term covering three activities: basic research, applied research and experimental development.
Basic Research is experimental or theoretical work undertaken primarily to acquire new knowledge of the underlying foundation of phenomena and observable facts, without any particular application or use in view. Applied Research is also original investigation undertaken in order to acquire new knowledge. It is, however, directed primarily towards a specific practical aim or objective. Experimental development is systematic work, drawing on existing knowledge gained from research and/or practical experience that is directed to producing new materials, products or devices, to installing new processes, systems and services, or to improving substantially those already produced or installed.
pasted from the internet
First, I plan to use a web crawler to scan all the research activities on research pages of the University of Oxford in a systematic manner. It is a way of providing up-to-date data in a fast way. This web crawler builds an archive of research activities, available as a research tool. By visiting this archive, it would be able to trace the development of research activities and cultural trends. I need a program that can “speak” HTTP and parse the HTML to find links (in the form of URLs) to add more links. Such a crawler program starts with a list of department URLs from the university website, called seeds. As the crawler visits these URLs, it identifies the “research” page and adds them to the list of URLs to visit, called the crawl frontier. URLs from the frontier are recursively visited. The web crawler creates a copy of all the visited research pages for later processing. However, in practice, I failed to do this, because of the variety of Department websites which are not strictly following the DOM structure at present. Overall, Department websites tend to use the word “research” for all purposes quite a lot, thus the keyword “research” as the identifier to locate research projects web pages is not appropriate. This method brings in a large amount of redundant information from the automatic crawling and leaves the later re-scanning work demanding. Also, some departments have their research projects hiding all the way down to several internal links that the crawler could not intelligently locate them. Certain amounts of information needed are missing after the crawl.
If you know how to do this, please help me.
The good thing is that I don’t need to talk about generalisation in detail in my report.
Qualitative case study is described as “the main researcher spending substantial time, on site, personally in contact with activities and operations of the case, reflecting, revising meanings of what is going on” (Stake 2005). With regard to this, Kvale summarises three forms of generalisability: naturalistic generalisation, statistical generalisation, and analytical generalisation.
Naturalistic Generalisation
Naturalistic generalisation spontaneously “derives from tacit knowledge of how things are and leads to expectations rather than formal predictions” (Kvale 1996).
Statistical Generalisation
The findings can be generated explicitly and formally from the sample selected at random from a population by using inferential statistics (Kvale 1996). However, in this study, the subjects are selected by the criteria model proposed rather than at random. Therefore, the findings of this study cannot be statistically generalised to the population at large.
Analytical Generalisation
Analytical generalisation ‘involves a reasoned judgement about the extent to which the findings from one study can be used as a guide to what might occur in another situation” (Kvale 1996). The analytical generation will be explored later when data collection is done.
