Evolutions

When I first started this course, I was a little apprehensive. While I am able to pick up technology skills fairly easily, I'm still in the very early stages of my doctoral program. I have an idea for my dissertation topic, and I know that technology will play an important role in that -- both in content and in analysis of the data. But I haven't really collected any data yet. I was skeptical of my ability to learn the tools without having my own research already complete, and I was jealous of some of my colleagues who are deeper into the process (and closer to writing the dissertation) because they had more data to work with. 

The more I learn about CAQDAS technologies, however, the happier I am that I'm getting exposure to all of these tools now -- in the early stages. I feel certain it will save me countless hours down the road because I'll be better organized and prepared to use the tools, and I won't feel overwhelmed to dive into them. I think the Bazeley & Jackson (2013) text said it best:

"Starting early, if you are still learning software, will give you a gentle introduction to it and a chance to gradually develop your skills as your project builds up. This is better than desperately trying to cope with learning technical skills in a rush as you become overwhelmed with data and the deadline for completion is looming." (p. 26).

It's nice to know that I'll be able to use the same tools throughout the process, and I can slowly learn more features as they're needed.

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The evolution and use of CAQDAS tools fascinates me. I had no idea coming into this semester how interested I would be in this area, but I suppose it makes sense given that it's a great intersection of my research and technology interests. I was talking about QDAS with my husband recently, and it occurred to me that he uses some similar technologies for his job. My husband is an attorney who works in complex business litigation, and one of the things he frequently has to do is review documents. For example, he might have to read 10,000+ emails downloaded from a client's inbox, code them for content, and look for segments that may support or refute a particular argument. We were talking about the software he uses and how that process compares to the work I may ultimately do in ATLAS.ti, and he mentioned that the new trend in the legal field is to move toward predictive coding software. He doesn't have it at his firm yet, but he said that it's supposed to learn some of your coding habits and conduct some of the document analysis for you based on parameters you set. 

I immediately started thinking about that in terms of qualitative research, and I wonder if something like that will ever be used or accepted in our research community. I would need to know more about how it works to really form an opinion on it, but I can see potential advantages and disadvantages with it. If it really is a learning software that learns how I code and applies that knowledge to my projects, then I think it could be a huge time-saver. But it could also distance me from my data, and I would really want to scrutinize the process that it uses. It's like outsourcing -- there are some things (like housekeeping!) that I'm happy to outsource to others, but there are other things that just aren't worth outsourcing. Coding might be one of those things. I guess we'll see as the software continues to evolve. 

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I'm excited to learn more about Dedoose. I like ATLAS.ti so far, but I'm a fan of cloud computing, and I'm curious about how it might handle my mixed methods research. Two questions that came up as I was looking through the website:

1) Compatibility: It says in the video that it can pull in data from the software programs like NVIVO and ATLAS.ti, but is that relationship bi-directional? Can you import and export data with Dedoose? 

2) Pricing: I know Dedoose charges a monthly fee. Do you only pay for the months that you use it (e.g., sign in)? If you have a project uploaded in Dedoose that you don't touch for a month or two, do you have to pay the monthly fee because they're still housed on the platform?

Reflexivity & Technology: Who Am I?

I am a techie. 

I wasn't always that way, but as I've gotten older, I've seen so many ways that technology has helped me work more productively. 

I think my love of technology really started in 2008. I had been teaching fifth grade for three years while my husband was in law school, and he accepted a one-year federal clerkship in Montgomery, AL. We decided to leave Atlanta for a year to move to Montgomery, and I decided to spend the year finishing my master's degree from Michigan State through online classes and by Skyping in to live classes. I spent most of my time at my computer working on coursework, and since we didn't know many people in Alabama, I relied on technology to stay connected to teaching and other educators. It was during this year that I started participating in #edchat and other chats on Twitter, and I started reading and following a lot of teaching blogs. I connected with many other tech-savvy educators, and I saw a lot of potential for teacher learning through online collaboration since I was experiencing that myself. 

For a long time, I was a lurker in these online conversations and blogs. But over time, as I became more comfortable with the tools and had more confidence in myself, I began to participate. I started my own blog and networked with many other teachers more formally. We've had several meet-ups, and these teacher bloggers have been some of the most inspiring and motivating teachers I've encountered. I find that I learn much, much more through them than I typically do through my school-sponsored professional learning opportunities. It's because of these experiences that I want to study teacher bloggers for my dissertation research. I want to explore how their online experiences impact their classroom experiences and their feelings of self-efficacy. I also want to see if there's a difference in the self-efficacy beliefs of bloggers vs. lurkers -- those who read the blogs, but don't comment or write anything of their own. My experiences of being isolated for a year in Alabama and transitioning from a lurker to a blogger really changed my understanding of technology's potential, and it's a focal point of my research interests. 

As I was going through this week's class readings, I was struck by a couple of issues. First, I do think there is a point where we experience "information overload," and that point can change from day to day or topic to topic. I love using sites like Twitter, but I feel like I can only take them in small doses because there is so much available. And while I can focus my attention on the thought leaders around a particular topic, I'm not sure that will help me build relationships for future collaboration opportunities. I have to widen the net to find others who share my interests but who might not be at the forefront of the field yet. That's a tough issue to balance, and I'm not sure that I've figured that out yet.

The second thing that struck me were the ethical issues raised by online collaboration and document sharing. My whole life is in the cloud now. Between my Dropbox, Google Drive, and Evernote accounts, I'm completely beholden to having my work saved in those spaces so that I can move seamlessly between devices. The cloud poses some definite downsides. Last year, for example, Dropbox had a security breach, and they reset all of my file sharing links without telling me they were doing that -- not fun for my collaborators! But overall, the cloud makes me much more efficient and productive on-the-go. It seems like qualitative researchers will need to accept that as a reality of modern research practices and develop some guidelines for ethics that embrace that fact. I like that I'm entering the field at a time when there's still a lot of dialogue about that.

I'm a long-time Evernote user, but I do have a question for Dr. Britt: is it better to organize by tags or by notebooks? 

I've heard conflicting perspectives on this. One hardcore Evernote user that I know insists that it's a waste of time to create notebooks because you can locate everything you need through good use of tags. Others say you should segment out different topics through notebooks but still tag individual notes. None of the people I've discussed this with have been researchers, however, so I'd like to hear another perspective.

Wow! My thoughts this week really meandered. Thanks for sticking with me through this -- lots to process.