Reading
Reflections:
PLD:
Chapter 8: Analyzing Image, Audio, and Video Data
Also
in DP, we’ve talked about how the data is actually the recording and NOT the
transcript. Joshua talked about
listening to the recordings over and over so that he could make decisions about
what to transcribe. This will be very
important for me in either study I decide to undertake. On page 4 of the chapter, the authors say,
“Analysis of recordings has typically, though not always, involved converting
the media files into some form of textual representation (through
transcription), and rarely, if ever, includes going back to the audio or video
sources throughout the analysis process.”
Going back to the source will be part of my plan when I conduct my
research.
I
don’t think I will use video as part of my study. If focusing on RR teaching and lessons, the
child would be a big part of the study, and I think it would be difficult to
get permission to do a study with an already vulnerable ‘struggling’ reader.
Also, I think the camera would be intrusive.
I have video-taped many lessons through the years (in an effort to
improve my teaching) and kids have always been fascinated by the camera, often
attending to it throughout the lesson instead of the books and writing they
were meant to do. Also, as Joshua
mentioned last night, looking at the talk is interesting in and of itself. Much can be learned from examining language
interactions. Pictures might be interesting.
Pictures of the kid reading, writing, or working at the white board
might be interesting. Also, pics of kids
and teachers working together – I am not sure though. Parents and districts are pretty cautious
when it comes to those things.
On
page 15, the authors talk about waveforms.
I have never even considered such a thing! I can certainly see how that might be helpful
in either of my studies – as it would capture nuances of sound – when there is
laughter, or high/low volume of speech, etc.
In our behind the glass conversations, there are many moments of
laughter, some silences when we are trying to figure out what is going on with
a student, some excited talk etc. These
would be interesting to attend to, particularly if I use discourse analysis or
discursive psychology.
I
don’t think that coding directly from media files would be appropriate for what
I am interested in doing. I want to
think about the talk and what it is doing in the interactions. I could make notes of what I am thinking as I
am listening, but to really focus in on the interactions, I would need a
careful transcript.
I
have NEVER considered content clouds as part of an analysis, but it sounds
really interesting. If I look at RR TL training, I could look at it at various
regional training centers and use content clouds to compare language
interactions across the 3 locations (we are back to the comparison thing again
– leftover from DP class). It is interesting
to me to think about the differences in emphasis across the regions. Different training centers, though all
affiliated with RR, and bound by the same standards and guidelines, have
slightly different emphasis in content.
I know our group at GSU tends to talk a great deal about language
structure and how that impacts an emergent reader’s process. In my experience in interacting with other
TLs across the county, this is not an area of focus for them. It is even possible to look at content in
conversation from different parts of the world, as RR is implemented in NZ,
Australia, England, Canada etc.
Including content clouds as part of the data might be a possibility! This quote seems relevant, “… place matters:
the same issue or topic is discussed and understood in different ways across
the country and even across a region.”
In the article, they are talking about transportation, and green
buildings, but the idea that talk changes from place to place certainly
connects with RR training across the world.
Class
Reflections:
I enjoyed seeing
Nalani’s demonstration of Dragon Dictate.
As I was watching this I was thinking of all the students I worked with
who had reading and writing difficulties.
Had I had something like this in my classroom, I could have made writing
much easier for them. They could have
dictated a story in writing that could have been transcribed and then they
could have used that writing as reading material. Considering the funds special education has,
this would have been a rather inexpensive option. I do think I would like to look into this for
transcription – just to have another option. It would relieve me a bit with
typing.
Karen,
digital Samantha, and I had good conversation and exploration of the content
clouds, the meaning of the visual data around teaching on pinterest and
listening and discussing the various soundscapes. When we talked about how cloud contents could
be used, Samantha thought about preliminary coding and Karen thought the actual
image might be good to use in presentations or as part of a cover sheet for a
project.
I
also appreciated the information on the audio/video data within Atlas. I went to Ann’s workshop this summer, but
having another pass with it was helpful.
It is pretty incredible that Atlas has the ability to allow for that
much data storage and manipulation. I am becoming more and more comfortable
with Atlas.
I am glad that you are considering going back to your data sources. This is something that more researchers should be doing. Think of how rich our interpretations could be if we also had the interpretations of our participants.
ReplyDeleteIt seems like word clouds would be a good addition to your research given you have several locations for your data collection. Give it a try and see what happens!
I worked in a school years ago that had similar software available to its special education students. I had a student with dysgraphia who used the software all the time. However, I know that, back then (2006-ish), it was software that cost close to $1000. It is great to see the prices come down on these products, so that we can use them for our students.