Six questions have been put to us, we have been asked to thinking about specifics in answering them.
“Take a good look at each question and ask yourself are there any problems with the question? e.g. assumptions, ambiguity, lack of clarity, too broad a scope……etc.
What kind of ‘data’ would you collect or produce to answer/investigate the problem? e.g. numbers, words, both, other…?
How would you go about getting that data? e.g. interviews, survey, experiments……etc.”
Here are the questions:
- Which of these two laptops gives the best performance?
- Are virtual worlds like Second Life useful for teaching?
- Why don’t many school students (16-18yrs old) choose to study IT at Polytechnic or University?
- Which ISP in NZ gives the best value for money?
- How do I feel about trying to work with slow internet speeds?
- What are the main security issues associated with ‘cloud computing
The first thing that comes to mind is, you know nothing about the two laptops, which causes a big problem and to get a clearer answer you are going to have to gather more data about the two laptops that have been asked about. Which I would assume you would have to ask Clare more about!
But even then, with the specifications of the devices, certain machines will perform different tasks and in most cases, unless you have paid out of the nose for a laptop, it’s hardware isn’t going to be a universal best fit in all categories of uses.
To find out what the subjects of teaching are, you would have to go and ask the person posing the question for more information. As I certainly think that second life can be implemented to teach certain skills very well, but definitely wouldn’t recommend it replace all other learning environments.
I don’t really like how the question is asked, very leading.
I find that question to be quite circumstantial and the answer to it is going to differ widely from one person to the next, we all have our own reasons for choosing where we study!
The data would have to be polled individually from any and all students listed to find there own reasons.
I don’t Know and what kind of service are you using them for?
This is something that would differ widely, depending on whether you were using them for and how much data/speeds that you require.
I find this to be quite a vague question, as there is no one best fit for everyone!
To find this out you would have to poll a lot of people!
The question is worded badly I think, who do you interpret as I?
I’d imagine you’d feel quite irritated if you were trying to work online, but I wont know until I ask you!
From a personal perspective, it’s the people using the service!
Answer that we came up with as a group
Question for the rest of the week!
Randomised Controlled Trials
What is it ? (Short description of how it works)
The purpose of a randomized controlled trail to perform an experiment on people, but each person is given a random trial. I think the biggest selling point of this method is that it effectively reduces allocation bias of experiments. Which often provides results that reflect a ‘true’ result rather then one that has been setup to help someone argue a point.
What kinds of questions/problems might it be useful for?
I believe that Randomized controlled trails as mentioned above is an extremely useful tool when used with experiments. This is because it is an effective tool too remove personal bias from creeping in.
How could it be used in IT research (try to think of an example)?
I think this approach could be used in IT, especially for testing systems. Having testers use a system with certain knowledge that other users don’t, is the only example I can come up with. But despite the lack of examples I still think that it is a strong use.
What are the strengths of the approach?
It allows for experiments to be conducted without personal bias tacking effect.
What are the weaknesses of the approach?
This approach outside of IT is usually very resource hungry, and often takes a lot of time and money. Because the tests given out are completely randomized may not reflect what actually would happen in real life.