Reflections on Thursday
Nalani opened class with her demonstration of Dragon Dictate
in Inqsribe --so far, Dragon looks cool, and I am interested in it, but I don't
think I will do anything with it at this point. I have so much
information on so many things, and I need to keep things simple. When we
practiced using atlas for transcription, I found it very easy, and I do not
mind listening, stopping, then typing. I am not discounting the idea
speak-to-text, because I love the idea of speaking rather than typing, but I
may use the feature already installed on my Microsoft pc prior to spending any
money. I am undecided. What I plan to do with this information is
file it and keep it, but not act on it at this moment. I did not know
that while ‘training’ dragon, you uploaded a word doc with your own writing so
it can become even more familiar with your speech patterns. That is quite
impressive, but it could be a limitation, because you’re training the software
to you only, which doesn’t allow Dragon to do the majority of the work for
you. For example, you cannot let Dragon ‘hear’
your interview with another person. You must
listen and speak both parties’ words in order for Dragon to be more
accurate. Nalani also pointed out that
she prefers to enter punctuation AFTER transcribing rather than giving
commands, which, I believe, can add more work and time, but as a researcher,
you will become even more intimate with your transcription and interviews. The idea of speak-to-text (for me, at least)
may be a wash when compared to the traditional ‘listen and type’ method of
transcription. Thank you, Nalani :)
I really enjoyed the activities. I talk about my
experiences with them below:
I don't get much "background noise" when I am
interviewing since its usually in an empty classroom or an empty teacher
workroom/lounge (that is hilarious in of itself, a “lounge”) but I do not
believe that this year I will have that experience, so it is important as a
researcher to think about the setting. I plan on meeting in a public
place, but this will influence my participants' responses, and even my body
language and demeanor, simply because people act differently in different
locations. Maybe they will be more relaxed, maybe they will be more
guarded, maybe I will be distracted by what is happening around them, or maybe
they will be--there is no way to know, but the space you and your participant
are in matters. It will be important to
discuss that when I am analyzing the data in my written work.
Also, while using Wordle, it was very apparent how this can
be useful for visualizing data (Cidell, 2010).
I have seen ‘word clouds’ for years, but I can’t believe it took me this
long to realize that those are useful in data analysis. In my defense, I had
not been in a graduate program and I had never even collected or analyzed data,
so I suppose I would not have seen this obvious use of word clouds.
I have never been on Pintrest—our group had a very
interesting discussion—Nalani and I initially
thought it was gender biased, for example, we searched "sports" and
the first word on the search was not ‘sports’ that popped up, but ‘sports bra’. Ann came by, and said that Pintrest is
user-generated data, and more women use Pintrest than men, so maybe it's not Pintrest
that is gender biased, but since it is
used mainly by women, then everything will be geared towards women. Ann told us to do a search on
"maniterest??"(I got the email from Dr. Paulus yesterday on the “man
pintrest” comparable websites) We did not get to do that, but we did ask
Scott for a topic to search in Pintrest. He said, "guns".What
came up were purple and pink and zebra guns--along with "normal" guns--still
for women--but mostly women are using pintrest...that is also another aspect to
show in written findings—knowing how data is generated if you are using
internet sites for data collection.
While discussing the mobile app for ATLAS.ti, I am glad it
was covered, but I am not an iPad owner (nor do I plan to be), but, the usage
seems pretty 'easy'--and handy, I guess, especially if you are in the field.
I am very glad we were able to work with video files in Atlas--so
nice that it works the same as an audio (sort of). Either way, I was able
to pick it up. Now I'm really starting to think about rewriting this
IRB...
I really like these functions with visual data in
atlas--much easier than I expected. I know people have described atlas as
'clunky' or not 'intuitive', but actually, if you're familiar with atlas and
its functions with documents, it's relatively easy to get--but I am always
grateful for in class tutorials/support :) ATLAS IS ON YOUTUBE! I need to remember that when I run into an
issue (which I am certain will happen sooner or later) Thanks, Ann, for a great class!
On a final note, Nvivo is super cool--maybe someday--not
now.
Looking ahead to Tuesday
Ann, the Woo (2008) has you written all over it, as you are
a proponent of what Dr. Paulus calls ‘far left’ or ‘radical’ qualitative
research. I know you are committed to
representational ethnographic methodology and counter-narrative. Woo (2008) states in her introduction about
the validity of arts-based research in education and in the field, but then she
also goes on to discuss whether the research may not be ‘artistic’ enough (p.321).
It seems as if there is a fine line, and
I have a tendency to align myself more to the center of the qualitative
research continuum, but when she gives her rationale for filmmaking, “My
impulse for translating this research into film emanates from my curiosity
about what would happen if I could engage a wider audience in dialogue about
the themes in my study, certainly an audience wider than the handful of souls
who might read the conference papers, book chapter, and journal article where
the study would be published” (Woo, 2008, p.322), I embrace the idea. How does this shift occur? I would love to attempt something of this
nature, because I feel that although I am working on becoming a part of academia,
I become excited about sharing those academic ideas with others that are not
part of that group. I am such a ‘new’
researcher and my conceptual understanding of the word ‘scholar’ is morphing
before my eyes daily. I need to look at
myself in the ‘now’, and hopefully ideas like this will stay with me when I
feel I can stand alone as a ‘true’ scholar and researcher, and then move into
the idea of more interpretive research.
Dragon and speech-to-text software, in general, definitely have their affordances and constraints. It is perfectly acceptable to just hold on to these tools for now. If you began using every tool in this class right now, you may overload your brain.
ReplyDeleteIt seems like several people in the class knew all about Wordle, but they did not know its applicability to research. It is very eye-opening to see what other researchers are doing with tools we could never have imagined could be used for research.
"that is also another aspect to show in written findings—knowing how data is generated if you are using internet sites for data collection." Love it! Context is extremely important.
Everything is on YouTube now! ;)
The "shift" is exactly what I was speaking about last semester when I went to the conference on Ethnography and counter narrative last semester. I wrote a short story to introduce my presentation. However, all the other presentations I attended were, as defined by the researchers, data that resulted in countering dominant discourses. No narrative. The best way to think about how to produce an art-based product is "Would I ever watch/view/read this as entertainment/escapism/[insert reasoning for reading or movie watching here]?" In order for that dialogue to happen, the research has to be approachable.