This quarter I took the COSIA (Communicating Ocean Science to Informal Audiences) course taught by Shawn.  He had a role in designing this class with staff from the Lawrence Hall of Science at University of California Berkeley and several other COSIA partners around the country.  This course is excellent for grad students in the science and formal education fields to learn about ocean science concepts, gain instructional and facilitation strategies for informal settings, and apply their skills towards effective activity design.  I have experience facilitating marine science activities at outdoor schools and at aquariums, but this class gave more insight on HOW people learn in these settings.  Reading and discussing learning theory with classmates was beneficial to improving my abilities as a facilitator while focusing on how to support a learner-driven experience.

Our challenge was to design an activity that was “minds-on” and hands-on.  Susan and I thought about topics that were abstract and that we could attempt to model them for better visualization.  Our plan was to provide views of the concept from different perspectives and allow for the discussion of what people already knew.  We started with plankton, a significant component of the marine ecosystem, and decided on an exploration of photosynthesis, the oxygen cycle, and connections to phytoplankton.  Our overall activity consisted of four stations:  learners could think about the proportion of water to land in terms of surface area, comparisons between the ocean and land with regards to net photosynthesis, a visual mapping of terms related to the oxygen cycle, and a station with a plankton sample to look at under the microscope.  We took our activity to the Visitor Center at Hatfield Marine Science Center which allowed us to test and prototype “in the wild.”  This was an incredibly helpful exercise as we found out what was confusing or needed to be refined prior to others attempting to replicate it.  The public gave us helpful feedback that allowed us to improve our work and participants were excited to help.

The COSIA course culminated with Family Ocean Science Night.  It was fun to have a variety of ages engage in all of the activities designed by students in the class.  Many of the participants were drawn to the tools like the microscope.  There is always an element of mystery as to what you will see when you look through the eyepieces.  I was especially inspired by a conversation I heard between two boys, in which one was took the role of facilitator for the activity.  He did not want to “tell” the other how to get to the answer, but was ready help if there were any questions.  Hooray for our future generation of science lovers and science communicators!

On behalf of the COSIA class we are grateful to the many families that came out to participate in our Ocean Science Night!  Thank you for letting us practice our skills and for your constructive feedback!

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It is probably not a mystery to anyone who knows me, but I have a complicated relationship with the Make movement.  Make is, in my opinion, an fascinating form of free choice learning. It grew out of the (computer) Hacker movement and has evolved to include all kinds of do it your self kind of projects- from building your own 3-D printer at home to keeping bees.  If you have ever seen any old “Popular Mechanics” magazines, full of projects to do at home, you will have a sense of Make Magazine, which has been in publication since 2005.  From this beginning, as well as a very interactive and content rich website, a whole community has sprouted up around the world, with local Maker Spaces for regular meet-ups as well as annual Maker Faire events that have the subtitle “the greatest Show and Tell on Earth”. What Make realized, from their start with the magazine and website, is that people wanted more than a “Do it Yourself” (DIY) lifestyle- they wanted to come together in community and share skills and tools and a communal space to work on larger and group projects- more of a “Do it with Others” (DIWO) style. Currently, there are hundreds of MakerSpaces around the world and more Maker Faire events happening in places from New York to Eugene to Tokyo.

In the last few years, they have also started reaching out more deliberately to youth, with the MakerEd initiative (yes, they do work the “Make” thing a bit too much, even for my taste!).  Realizing that most young people do not have access to Make experiences or much in the way of hands on learning, they have taken this on, creating a system of mentor training, a summer Maker Camp offered through the Google Plus/Hangout platform with new projects every day for a month, as well as organizing Maker Faires to be family friendly events.  I think it is one of the most exciting things happening in learning right now.

So, back to my opening comment- why is my relationship with Make a complicated one? Well, in all honesty, I am not really a Maker- I just don’t have much of a desire to get in there and build things or interact with computers any more than I have to, so I sometimes feel like a poser.  I do knit and crochet, so can work the craft angle, and am getting more into the homestead lifestyle as I get older and my priorities shift around. But, I am a Make enthusiast! I have spoken about it, or presented posters at 4 conferences and counting and try to let people know about it whenever appropriate. A telling comment was at the AAPT conference this summer, when someone asked me what my relationship or role is with Make, and the first answer that came to me was, “well, I am a Make evangelist”.  I do want to get the word out and get people excited and involved in helping create these experiences for learners of all ages.

Thus, while I might never pick up a soldering gun, you will find me helping build this community in as many ways as I can. Keep your eyes open- there is Making happening everywhere!

Peace, Jen

When you have a new idea in a field so steeped in tradition as science or education, as a newcomer, how can you encourage discussion, at the very least, while still presenting yourself as a professional member of your new field? This was at the heart of some discussion that came up this weekend after Shawn and I presented his “Better Presentations” workshop. The HMSC graduate student organization, HsO, was hosting the annual exchange with the University of Oregon’s Oregon Institute of Marine Biology grad students, who work at the UO satellite campus in Charleston, Oregon, a ways south on the coast from Newport.

The heart of Shawn’s presentation is built around learning research that suggests better ways to build your visuals to accompany your professional presentation. For most of the audience, that was slides or posters for scientific research talks at conferences, as part of proposal defenses, or just with one’s own research group. Shawn suggests ways to break out of what has become a pretty standard default: slides crowded with bullet points, at-best illegible and at-worst incomprehensible figures, and in general, too much content crammed onto single slides and into the overall presentation.

The students were eager to hear about the research foundations of his suggestions, but then raised a concern: how far could they go in pushing the envelope without jeopardizing their entry into the field? That is, if they used a Prezi instead of a PowerPoint, would they be dismissed as using a stunt and their research work overlooked, perhaps in front of influential members of their discipline? Or, if they don’t put every step of their methodology on their poster and a potential employer comes by when they aren’t there, how will that employer know how innovative their work is?

Personally, my reaction was to think: do you want to work with these people if that’s their stance? However, I’m in the enviable position of having seen my results work – I have a job offer that really values the sort of maverick thinking (at least to some traditional science educators) that our free-choice/informal approach offers. In retrospect, that’s how I view the lack of response I got from numerous other places I applied to – I wouldn’t have wanted to work with them anyway if they didn’t value what I could bring to the table. I might have thought quite differently if I were still searching for a position at this point.

For the grad student, especially, it struck me that it’s a tough row to hoe. On the one hand, you’re new to the field, eager, and probably brimming with new ideas. On the other, you have to carefully fit those ideas into the traditional structure in order to secure funding and professional advancement. However, how do you compromise without compromising too far and losing that part of you which, as a researcher, tells you to look at the research for guidance?

It occurred to me that I will have to deal with this as I go into my new position which relies on grant funding after the first year. I am thinking about what my research agenda will be, ideally, and how I may or may not have to bend that based on what funding is available. One of my main sources of funding will likely be through helping scientists do their broader impacts and outreach projects, and building my research into those. How able I am to pick and choose projects to fit my agenda as well as theirs remains to be seen, but this conversation brought me around to thinking about that reality.

As Shawn emphasized in the beginning of the talk, the best outreach (and honestly, probably the best project in any discipline, be it science, or business, or government assistance) is designed with the goals and outcomes in mind first, then picking the tools and manner of achieving those goals only afterwards. We sometimes lament the amazing number of very traditional outreach programs that center around a classroom visit, for example, and wonder if we can ever convince the scientists we partner with that there are new, research-based ways of doing things (see Laura’s post on the problems some of our potential partners have with our ways of doing research). I will be fortunate, indeed, if I find partners for funding that believe the same, or at least are willing to listen to what may be a new idea, at least about outreach.

My dissertation is slowly rising up from the pile of raw data. After crunching survey data, working on checking transcriptions and of course working some inevitable writing this month, I’m starting the process of coding my video observations of docents interacting with visitors. I’ll be using activity theory and multimodal discourse analysis to unpack those actions, and attempt to decipher the interpretive strategies the docents use to communicate science.

This is the really interesting part for me here because I finally get the chance to break down the interpretive practice I’ve been expecting to see. However, what I’m still trying to work out at the moment is how micro-level I should go when it comes to unpacking the discourse and action I’ve observed. For example, in addition to analyzing what is said in each interaction, how much do I need to break down about how it’s said? For potential interpretative activities, where does that activity begin and end? There’s a lot of decisions to be made here, to which I need to go back to my original research questions for. I’m also in the process of recruiting a couple of additional researchers to code a sample of the data for inter-rater reliability of my analysis.

I’ve also been starting the ball rolling for some potential member check workshops with similar docent communities. The idea is to gather some feedback on my findings with these communities in a couple of months or so. I’ve been looking in to docent communities at varying aquariums in both Oregon and California.

So far so good!

Writing your dissertation seems like the perfect time to learn new software, no? As Laura mentioned, she’s starting to use NVivo for her analysis, and I’m doing the same. It’s a new program for our lab, but already it looks very powerful, combining multiple types of data within the same project. For me, that’s audio, video, and transcripts of course, but I’m also finding that I will be able to link the imagery that I used probably to particular parts of the transcript. That means that I will likely be able to connect those easily in the actual dissertation write up. For me, that could prove incredibly useful as I have so many images that are virtually the same, yet subtlely different, what with the topic and level of scaffolding varying just slightly. I don’t think describing the “levels” of scaffolding in words will be quite the same. It may mean a lot of color images for my dissertation printing, though. Hm, another thing to figure out!

I’m also diving into using the new eyetracking tools, which are also powerful for that analysis, but still tricky in terms of managing licenses across computers when I’m trying to collect data in one place and analyze it in another. We’re certainly epitomizing free-choice learning in that sense, learning in an on-demand fashion to use tools that we want to learn about in order to accomplish specific tasks. One could just wish we had had real data to use these tools with before (or money to purchase them – NVivo and StudioCode, another powerful coding tool for on-the-fly video coding, are not cheap). Between that and the IRB process, I’m realizing this dissertation process is even more broadly about all the associated stuff that comes with doing research (not to mention budgeting, scheduling, grant proposing …) than it is about even the final project and particular findings themselves. I’m sure someone told me this in the beginning, but it’s one of those you don’t believe it until you see it sorts of things.

What “else” have you learned through your research process?

Happy new year everyone!

After all the fun and frivolities of the holiday season, I am left with not only the feeling that I probably shouldn’t have munched all those cookies and candies, but also the grave realization that crunch time for my dissertation has commenced. I’d like to have it completed by Spring and, just like Katie, I’ve hit the analysis phase of my research and am desperately trying not to fall into the pit of never-ending data. All those current and former graduate students out there, I’m sure you can relate to this – all those wonderful hours, weeks and months I have to look forward to of frantically trying to make sense of the vast pool of data I have spent the last year planning for and collecting.

 

But fear not! ’tis qualitative data sir! And seeing as I have really enjoyed working with my participants and collecting data so far, I am going to attempt to enjoy discovering the outcomes of all my hard work. To me, the beauty of working with qualitative data is developing the pictures of the answers to the questions that initiated the research in the first place. It’s a jigsaw puzzle with only knowing a rough idea of what the image might look like at the end – you slowly keep adding the pieces until that image comes clear. I’m looking forward to seeing that image.

So what do I have to analyze? Well, namely ~20 interviews with docents, ~75 docent observations, ~100 visitor surveys and 2 focus groups (which will hopefully take place in the next couple of weeks).  I will be using the  research analysis tool, Nvivo, which will aid me in cross-analyzing the different forms of data using a thematic coding approach – analyzing for reoccuring themes within each data set. What I’m particularly psyched about is getting into the video analysis of the participant observations, whereby I’m finally going to get the chance to unpack some of that docent practice I’ve been harping on about for the last two years. Here, I’ll be taking a little multimodal discourse analysis and a little activity theory to break down docent-visitor interaction and interpretative strategies observed.

Right now, the enthusiasm is high! Let’s see how long I can keep it up 🙂 It’s Kilimanjaro, but there’s no turning back now.