# data[].attributes.body
Being able to view overall course activity for all modules would be benefical

# data[].attributes.body
I think we are monitoring more than enough Webcourses features , the one I want to add to it is the attendance

# data[].attributes.headline
Participant B -        Webcourses usage area report

# data[].attributes.subject
Participant B -        Webcourses usage area report

# data[].attributes.body
. I would like to see the students use more features but I think it’s I think the students are probably limited by me. Rather than me being limited by the students

# data[].attributes.headline
Participant B -                                                          Level of satisfaction

# data[].attributes.subject
Participant B -                                                          Level of satisfaction

# data[].attributes.body
In terms of my level of satisfaction with the analysis features , "I would say

I am high, Out of five, I am certainly a four, I think I am probably near heading to five

# data[].attributes.headline
Participant B -                                         The workshop

# data[].attributes.subject
Participant B -                                         The workshop

# data[].attributes.body
After the workshop I was able to make immediate use of it.

So now in addition to tracking attendance, this is the amount

of time people have spent in Webcourses

# data[].attributes.body
Am I a believer in big data and what it can do? Yes, absolutely. I think if you are going to manage something, you have to know what it is, what the issue are and you won’t know them unless you have got hard concrete facts

# data[].attributes.headline
Participant A -            Overall view on analysis

# data[].attributes.subject
Participant A -            Overall view on analysis

# data[].attributes.body
I would see this technology as a way of driving continuous learning, especially when you set deadlines for journals,wikis and whatever.

Now you can go on and monitor that.

Without this transparency it is impossible to drive student engagement.

# data[].attributes.headline
Participant A -                                                        Overall activity report

# data[].attributes.subject
Participant A -                                                        Overall activity report

# data[].attributes.body
“The overall activity report is very useful to know about because of what it

highlighted. Now it is highlighted and I can look at journals and discussion

forums and say look it there is not enough activity in there, I have to

ensure that it focuses people to engage more”

# data[].attributes.body
“Now that I am very aware after your workshop and the reports that you generated, I will certainly be keeping an eye on these.

It has helped me on marginal decisions”

# data[].attributes.headline
Participant A        -   Lack of reporting 

# data[].attributes.subject
Participant A        -   Lack of reporting 

# data[].attributes.body
“Wikis data does not seem to be there unless it’s captured in some area where we are not seeing, if I am going to look at accessing process in the development of the wikis then proper analytics underpinning that would be important.”

# data[].attributes.headline
Participant A -                       Individual reports

# data[].attributes.subject
Participant A -                       Individual reports

# data[].attributes.body
“The individual reports on it give

you a sense of how students are engaging.”

# data[].attributes.headline
Participant A -                               The workshop

# data[].attributes.subject
Participant A -                               The workshop

# data[].attributes.body
“The workshop was absolutely beneficial. The output is something that I can now use.

In future I will be able to use these as part of monitoring student performance.”