Author: Maren Deepwell

  • #FLcoding16: we meet graphs in the second week

    week-2It’s the second week of the course ‘Learn to Code for Data Analysis‘ and we have started making graphs! Alongside my course participation on FutureLearn I am posting a short summary of my experience on my blog (you can read also my post from Week 1).

    I found this week a lot quicker to get started, partly because I am now more familiar with the course structure but also because the Anaconda interface I am using is becoming easier to navigate. That was a good thing because I have less time this week. Picking tings up where we stopped in Week 1 this part of the course introduces new concepts and methods leading to learning how generate graphs using the plot function. I found generating my first few graphs and changing what they showed immensely satisfying. The data we are using this week is about the weather and the project of the week enables you to use weather data from your own location.

    In order to practice some of the syntax and get more used to using the interface I have started creating my own fictional data set which I am experimenting with in a separate exercise book. Hopefully there will be more time to play with this and the weather project next week. For now, the course continues to engage and educate – enabling me to learn the basics at my own pace. One study resource that I have found particularly helpful is the weekly glossary. I have downloaded both of these and use them to help remember different concepts. See you in Week 3…

  • #FLcoding16: learn to code for data analysis week 1

    flcoding1It’s the first week of the course ‘Learn to Code for Data Analysis‘ and I have just completed all required steps – so this short post is a quick reflection on my experience so far and it’s been a great week!

    Once I got stuck in there were a couple of things that work extremely well for me: first, using the course instructions on the Futurelearn platform together with the Jupyter notebook and exercise data creates a clearly structured and engaging environment. I dipped into the comment sections for some exercises when I got stuck, but in general I found the first week’s exercises really interesting and helpful. I did end up getting things wrong and then learning from the errors that were generated, but it felt both challenging and achievable. Given that this is my first time with the software and the coding language, I think the course works extremely well. It provides a good balance between context and technical elements, both of which combined to draw me in even as a complete novice.

    While I am interested in the data we were using in week 1 (mainly WHO data, similar to what I have come across during graduate study) what I found most rewarding was gaining a better understanding of the various approaches and how they can be applied to small and large sets of data. Again, the course structure demonstrates the thought process alongside the mechanical steps, which was very effective. My favourite interaction with the exercises was the little messages that appeared after completing one, referring you back to the course platform. It was a small thing, but it made a big difference to how easily I could navigate an alien environment.

    I dipped into the course a couple of times during the week, first to have a look around and read some introduction material, then again to read some more and watch the first videos and then a third time to get stuck in with the actual exercises and quizzes. Sorting large tables by columns and calculating different averages was particularly satisfying… I installed the software etc the week before, so that things were ready when I got started. I liked the information and prompt provided to share the work from the course and I might do so in the following weeks, but this week I feel the whole process is still too new for me to want to share more than my thoughts.

    So far, so good – a really engaging and rewarding first week with lots of practical knowledge gained. Looking forward to week 2!

  • #23things: twitter archive, no facebook… social media reflections

    I am using thing no. 7 (Twitter) and thing no.8 (Facebook) of #23things to note some reflections on how I use social media. This is about my individual professional or personal use, rather than any organisational perspective.

    So, starting with Facebook, I find I have little to share. I am a reluctant Facebook user, strictly using it for personal relationships with far flung friends and for keeping in touch. Reviewing my Facebook timeline since I joined in 2007 reveals three clear trends: I post about the weather, the weekend and my cat. You could probably write a programme to auto-compose posts for my timeline and no one would know the difference.

    Over the past two years I have also had to use Facebook for a project, more reluctantly still, and I have to admit that I have a lot to learn if I ever want to leverage that network for my professional aims. Moving on…

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    Twitter archive using TAGS

    Twitter I joined a few years and 3k+ tweets ago – to provide holiday cover for someone who was travelling. It took me some time to get the hang of it, but since then it’s become a most useful space for me and I would echo many of the observations made by other participants in their posts about how valuable it can marentags2be. It’s easy to forget how few people in general are using it however and I find it irritating at times when media becomes to referential to what people have tweeted instead of finding other sources. Last year I installed Martin Hawksey’s TAGS twitter archive (read more about how to make your own) and ever since then I have been happily archiving my tweets and conversations. This is actually the first time I have had a look at the “top hashtags” in my own little universe of tweets and while it’s predictable to me it’s also interesting and useful and will probably be more so over time. I like tweeting about my own work as well as interesting or useful things I come across, but there is always a lot more on Twitter than I can follow. I dip in and out and enjoy the random things I find. Unless I am at an event I rarely tweet at high volume and I have plenty of days when I don’t use it at all. There isn’t always something to say.

  • #23things: (algorithmic) transparency and diversity

    This week on the #23things course that I am participating in together with my colleagues I read an article on diversity, described thus:

    Can computers be racist? Big data, inequality, and discrimination– An excellent article, including video of a lecture given by Dr. Latanya Sweeney, on how big data can perpetuate and exacerbate existing systems of racism, discrimination, and inequality (see this week’s full text here)

    I found the article really stimulating not least because I am interested in the growing movement behind public interest technologists (link to the full article). One paragraph in particular caught my eye, specifically a recommendation on how we may overcome the bias in relation to inequality inherent in big data practices:

    Pressing for “algorithmic transparency.” By ensuring that the algorithms underpinning critical systems like public education and criminal justice are open and transparent, we can better understand their biases and fight for change.

    It’s a recommendation I think makes a lot of sense, but I have come across many instances where this isn’t the case. In many cases only the expert developers involved in creating the system really understand how it works. That leads me to consider where efforts to make algorithms underpinning critical systems more open and transparent will meet the growing expertise professionals in for example education need to have in order to approach the technology at their disposal in an effective way.

    Yet while the article has certainly prompted me to think and read further, it’s also reminded me that even the simplest or most commonplace technology can create problems. #23things uses examples like exploring accessibility features on mobile devices or the use of emoji/bitmoji to get us thinking about wider issues and those are easy to relate to. Anyone who like me functions as tech support for family members for example has likely been grateful that a mobile phone’s text size or colour contrast adjusted to suit the needs of elderly users. There is a huge spectrum of issues that opens up before you when you start focusing on accessibility and diversity.

    For me, these two of the #23things are a useful reminder that this is an essential part of what we do every day and that there is always a lot of room for improvement.

  • Group, Action, Technology, Learning, Empowerment, Future… FELTAG inside out

    FELTAG Revisited
    CC-BY-ND @BryanMMathers

    This talk is for the FELTAG 2016 conference taking place on 28 September 2016 in London. Having given plenty of talks about FELTAG in the past few years, I have been pondering what I really want to say to my audience in twenty minutes. Part of being the opening keynote is that you get to speak first and help set the tone for the day, but looking at the agenda of what’s to follow, it feels a bit like every case study and best practice example  imaginable will be well covered. In addition, I had a conversation recently with Bryan Mathers about Revisiting FELTAG, and the resulting visual thought which I have linked to in this post (and which was published here) , made me think about where we go from here – what does the future hold for FELTAG? I hope this talk will help us find the way.

    View of Westminster Abbey
    CC-BY @MarenDeepwell

    Westminster Abbey:  where it all began for me was in February 2013 when I was the new chief executive of ALT and was invited to represent our members as part of this group convened by Matthew Hancock, who was then  Minister of State for Skills and Enterprise in BIS. The picture shows a foggy morning view of Westminster Abbey as seen from the meeting room in BIS where we met. Subsequently I have been part of FELTAG’s cross-sector successor ETAG, the FELTAG Coalition, our own FELTAG SIG, FELTAG panels, responses, updates, its evolution and most recently I revisited FELTAG with Bryan Mathers. But in February 2013 there was only one thing about FELTAG that I was interested in: firstly I was trying to figure out the “G”, namely who the other members of the group were, their aims and vision. Many of them are in the audience today, but others are no longer directly involved. As a group we stopped convening formally as soon as our recommendations were finalised in late 2013. But once the original group had done its work came the time for action. The “A” that gives FELTAG its power.

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    FELTAG Report (2014) http://www.feltag.org.uk/

    Teachers: The original report included ambitious recommendations and  a vision that demanded a change in culture, in thinking. It was as radical as was possible at the time, but what followed in the Government response, progress updates and so forth was not, at least in my view. However, it is extremely complicated to try and operationalise change in a rapidly evolving technological, social and economic context and  even harder to devise robust drivers for change through funding and inspection mechanisms that hold so much sway across the sector. So trying to define in quantitative terms what progress should be made was in some ways a logical next step. The infamous 10% online learning quota requirement comes to mind here.  This particular recommendation about bringing the workforce up to speed was meant to recognise that teachers play a key role in the intelligent use of Learning Technology, not machines.

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    Source: Hack Education http://hackeducation.com/2015/08/10/digpedlab

    Technology: Yet while we may have thought a lot about teachers, about people generally, the technology quickly took centre stage. It was clear to all that there is a consistent disparity between different providers across the country, some struggling with providing basic infrastructure while others are investing heavily. At the same time various threats technology embodies became more pronounced as we read about the automation of jobs, the power of big data networks, the might of the technology companies. At times it seemed as if instead of finding ways to empower and support people in learning and teaching, Learning Technology could be a fast track to restructuring them out of the business of education all together.

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    Conflict: It think this quote from David Noble from his book Digital Diploma Mills captures the conflict at the heart of the FELTAG recommendations perfectly. It juxtaposes the potential of technology to scale up, reach out and increase output with the power of human agency in learning and teaching, and with the importance of the teacher, support staff, managers or governors. Further Education is passionate about its learners.

    Now I have thought about the first three letters (G, A and T), I want to turn my attention to the “L” in FELTAG. L stands for Learning. And for Learners (all of us). It’s at the heart of what FELTAG was and is about.

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    Source: YouTube Clips from ALT https://youtu.be/V_a9En4YgH8

    Learning Myths: One of the challenges we face in Learning Technology is knowing how to make the best use of it. It’s the “what works and what doesn’t work” dilemma that is hard to answer. However even if we take technology out of the equation, keeping up with what we know about learning and how we learn best can be challenging. Lia Commissar from the Wellcome Trust recently illustrated how high a percentage of UK teachers still believe in learning styles. The answer to her quiz questions as the one in the picture above is “not true”. Highly recommended viewing.

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    The business of learning: I suppose in many ways the crux of the matter is that as an industry Further Education is faced by challenges from many different directions. There is little continuity of strategy or support, competing demands from employers, government agencies and not least a growing base of learners at all stages of life. Fitting what is essentially a messy, individual human experience and life stage transition into a business-enterprise model using technology can often result in a drive to standardise interaction and provision, a wish for being able to predict what happens next, when and to whom. Cue the rise of learning and learner analytics.

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    Sheila MacNeill speaking at the OER15 conference. CC-BY-NC ALT

    Empowerment: If we compare the power the technology industry has and the pace of technological innovation to what we have, you might get the impression that we like using new gadgets and spend more time online than anywhere else, that we hear about the rapid pace of change, the rise of the machines, the arrival of artificial intelligence… but it can feel like we don’t have a lot of control over our destiny. But that is not true. At some level the forces we feel at work are all in the power of people like us, indeed some of them sat in the room I described earlier, on that damp February morning in 2013 with a view over Westminster Abbey. They were there at the invitation of a Government Minister and represented not only industry and education sectors, but policy, funding, media and other interests. The action I took as a member of the group was to take responsibility to empower those within my sphere of influence to meet the challenges Learning Technology poses head on, together and – importantly –  in the open. Sharing, collaborating and helping each other. As a professional body the Association I serve facilitates, represents and supports this growing community.

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    The future is always just beyond the horizon: This quote and the others I have used in this talk I came across while reading Audrey Watter’s excellent Hack Education blog. It’s full of thoughtful and thought-provoking thinking about the future. And it reminds me frequently that each time I read one of these predictions about the future of education(al technology) I am sad to think that people are going about their business, waiting for the FUTURE to arrive and never taking action to make their vision come to life in the here and now. I think for me FELTAG was about that. Coming together to make a stand. We wanted to draw a line in the sand beyond which the future was actually going to materialise, finally. Not just for some, but for everyone in Further Education.

    It has been over a century since Thomas Edison predicted the demise of books in schools and his predication has failed to come true. It’s also been over three years since that first meeting of the FELTAG group. We are now beyond FELTAG, we are finally living the future that’s always been just beyond the horizon and that’s a lot of responsibility for each of us.

    P.S. Take action. Join ALT.

  • Omni-directional expansion of the ‘Google me’: exploring my digital footprint in 10 screenshots

    Hello, and welcome to thing no.3 of the #23things course (also, this is my 100th post on this blog)… As I mentioned previously I am taking part in this course together with my team. If you are curious about our approach read the post, but here it is in a nutshell: we have given ourselves permission to lurk, audit, explore or participate in each thing as we deem fit on an individual basis. So… this is my attempt to contribute:

    img_4038This task starts with searching for yourself on Google and that’s where I have paused. It feels strangely personal writing about my own search results, but then of course that is the point of the exercise. This information is already in the public domain and easily discoverable by anyone. Why did searching for myself give me reason to pause? I want to explain why, using 10 screenshots I took:

    Front page: The most public version of ‘me’ is on the first page of results. Like most of you I monitor the information about me online regularly and the results presented here are what I expected. It’s sometimes surprising how high events I participate in appear in the search results, but so far, so good.

    img_4036Old News: In contrast to the first search results, this is not a list I look at frequently, but I’m already uncomfortable. Giving interviews or quotes is a circumspect business but no matter what I say it can read badly after a few years  (or sometimes far sooner). Looking at this list also reminds me that I am not consistent when it comes to archiving news items, so I suppose one advantage of having whatever you say archived and indexed is that you can compile at least a partial list at a glance. Next!

    Videos: I often ignore how much video there is now of img_4037me. Granted, it’s a tiny amount in comparison to others, but not even 10 years ago there was no video of me at all. In most cases the video is a recording of a live event either in front of an audience or online. It’s often improvised, never polished and can make for cringe-worthy watching for me. On the other hand, some of my favourite moments in my professional life have been in front of an audience, so on balance I think I am glad to have these videos and hope that some are useful or interesting to others.

    And now… images: this is where you can go down all sorts of rabbit holes and find surprises. First up: pictures in weird settings or combinations:

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    Images I have no control over and that are ranked highly, can feel like an annoying part of my digital footprint. In other instances the images are not of me, but made by me or posted by me at some point in the past. It can be fun to rediscover a former self , but it strongly reminds me that each time I publish anything, this post included, I make a decision to add to this expansion of stuff about or by me:

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    Some images, like this one above for example, I posted at some point and thought I had removed. Others, like the one below, are a blast from the past. In this instance it shows an outdoor trade-show of funerary wares, mainly coffins, that I visited as part of my doctoral research.

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    Finally, there are also images I post on sites like JustGiving, when I was raising money for Cancer Research. I am not sure how I will feel seeing this in a few years time, particularly if my personal circumstances or those of my family are different by then. What if you find images of raising funds for someone who is no longer with you? img_4035

    All of this information about me is on the surface. I haven’t really started digging into what else you can find about me online and there are dire warnings about what can be done with personal information that isn’t safeguarded. That’s one reason why I am taking part in this course. Being online, particularly as an open practitioner, is making yourself vulnerable. Josie Fraser gave an inspiring keynote at ALT’s Annual Conference this year and I’ll end this post by encouraging you to watch it. Don’t let trolls follow your digital footprints…