For our final blogging question, we'll keep it simple and look back to
where we started in January: how has your research question evolved
during the course (or longer)? What sub-questions have emerged as you've
read and thought about your topic? What new theoretical frameworks,
methods, materials, or other context have changed how you approach your
question? In what ways are you still wrestling with your research
question, and what kinds of feedback could your fellow-bloggers provide
that might help?
As Karen and I mentioned in our feedback to the first round of blog posts, we'd like to see more commenting in the final half of the course, and this topic should give you all an excellent opportunity to request and share feedback with each other. As I've been repeating throughout the course, developing persuasive and clear language for your research question is a social process -- no one can do it alone -- so don't hesitate to test language from your research descriptions on your fellow-bloggers.
This week's lecture slides are posted here and in the usual formats on BB. Please note that these slides include a sequence on "thinking through making" that I decided to omit for time on Wednesday. Hopefully they'll still be of interest to some of you. The slides we actually looked at in class follow afterward.
Finally, in the spirit of today's blogging question and this week's topic of data analysis, I thought I'd share a document from one of the iSchool's own research groups, which was doing its work over this past term, and was submitted to the Dean this morning. You can find its report here: http://individual.utoronto.ca/alangaley/files/elevators_committee_preliminary_report.pdf . Please note that the posting date for this report is purely coincidental.
As Karen and I mentioned in our feedback to the first round of blog posts, we'd like to see more commenting in the final half of the course, and this topic should give you all an excellent opportunity to request and share feedback with each other. As I've been repeating throughout the course, developing persuasive and clear language for your research question is a social process -- no one can do it alone -- so don't hesitate to test language from your research descriptions on your fellow-bloggers.
This week's lecture slides are posted here and in the usual formats on BB. Please note that these slides include a sequence on "thinking through making" that I decided to omit for time on Wednesday. Hopefully they'll still be of interest to some of you. The slides we actually looked at in class follow afterward.
Finally, in the spirit of today's blogging question and this week's topic of data analysis, I thought I'd share a document from one of the iSchool's own research groups, which was doing its work over this past term, and was submitted to the Dean this morning. You can find its report here: http://individual.utoronto.ca/alangaley/files/elevators_committee_preliminary_report.pdf . Please note that the posting date for this report is purely coincidental.
