Multilitteratus Incognitus

What does that spell?  elp-ss-ss ;-) OK...well that sounded more funny in my head... Anyway! Week 5 of NRC01PL (last week! All caught up! yay!) was about Learning Performance Support Systems.  My first introduction to LPSS (a brief one at that) was in an instructional design course almost 10 years ago (if my memory works).  The funny thing is that we did talk about LPSS (without using that label) in a Knowledge Management course while I was doing my MBA.  The lesson here?  Interdisciplinarity is indeed a thing worthwhile practicing! :-) When we learned about LPSS way back when, it was within a corporate learning context. The idea of an LPSS, which in my knowledge management course tied into communities of practice, was that employees, who are also learners, have access to a system to get realtime, just-in-time, help with whatever they are doing.  An example of this might be, for example, a short video on how to print something from your computer to ...

Even though this semester is relatively calm, compared to last semester, I still find myself not writing as much as I think I would like.  I've set aside, temporarily, the book I was meant to have finished reviewing last October, on MOOCs, until the semester ends and I can focus on them a little more. One reason for the refocus of energies is EDDE 804. We are focusing on leadership in education, and I am finding myself spending a lot more time pondering the topic.  I was going to be "ruthlessly pragmatic" and just focus on the assessments, but the cohort members provide for some really interesting discussion and points to ponder.  Another thought that crossed my mind was this: am I over MOOCs?  There was a time when I used to check out coursera, edx, futurelearn, and the other not-so-usual suspects for new courses, however these days going to those sites seems more like a chore than anything else.  I've downloaded a whole bunch of videos from previous courses...

It's the final stretch of 2014! This makes it my fourth year in exploring MOOCs - boy does time fly!  When I started off with LAK11 I was really just looking for ways to continue learning for free.  While I do get a tuition benefit at work, this also involves standard semesters of 13 weeks, getting work-release time (since online learning isn't covered by the benefit) and retaining the motivation to keep going through a predefined course and syllabus.  Even when MobiMOOC happened and we formed the MobiMOOC research team I really didn't foresee that the, oddly named, MOOC would catch on fire the way it did.  At the time I was eager to get some initial thoughts together on how to put together a MOOC (now they are called cMOOCs) and put together a Great Big MOOC Book , with others, that was a right mix of research and practice.  Since the MOOC has really expanded a lot over the years, with many different things being called a "MOOC" the original idea might be be...

Hey!  We've made it! It's the final blog post about #dalmooc... well... the final blog post with regard to the paced course on Edx anyway :)  Since we're now in vacation territory, I've decided to combine Weeks 9 and 10 of DALMOOC into one week.   These last two weeks have been a little light on the DALMOOC side, at least for me.  Work, and other work-related pursuits, made my experimentation with LightSIDE a little light (no pun intended).  I did go through the videos for these two weeks and I did pick out some interesting things to keep in mind as I move through this field. First, the challenges with this sort of endeavor: First we have data preparation. This part is important since you can't just dump from a database into programs like LightSIDE. Data needs some massaging before we can do anything with it.  I think this was covered in a previous week, but I think it needs to be mentioned again since there is no magic involved, just hard work! T...

Hello to fellow #dalmooc participants, and those who are interested in my own explorations of #dalmooc and learning analytics in general.  It's been a crazy week at work with many things coming down all at the same time such as finishing advising, keeping an eye on student course registrations, and new student matriculations, making sure that our December graduates are ready to take the comprehensive exam...and many, many more things. This past week I really needed a clone of myself to keep up ;-)  As such, I am a week behind on dalmooc (so for those keeping score at home, these are my musings for Week 7). In week 7 we are tackling Text Mining, a combination of my two previous disciplines: computer science and linguistics (yay!). This module brought back some fond memories of corpus linguistics exploration that I had done a while while I was doing my MA in applied linguistics. This is something I want to get back to, at some point - perhaps when I am done with my doctorat...

I see a lot of WTF behavior from learners. This is bad... or is it? Oh hey!  It's week 6 in DALMOOC and I am actually "on time" this time!  Even if I weren't it's perfectly OK since there are cohorts starting all throughout the duration of the MOOC (or so I suspect), so whoever is reading this: Hello! This week the topic of DALMOOC is looking at behavior detectors (types of prediction models).  Behavior detection is a type of model (or types of models) that we can infer from the data collected in the system, or set of systems, that we discussed in previous weeks (like the LMS for example).  Some of these are behaviors like off-task behavior such as playing candy crush during class or doodling when you're supposed to be solving for x . Other behaviors are gaming the system, disengaged behaviors, careless errors, and WTF behaviors (without thinking fastidiously?  or...work time fun? you decide ;-) ). WTF behavior is working on the system but not the task ...

Whooooa! What is all this? Alright, we're in Week six of DALMOOC, but as usual I am posting a week behind.  In previous weeks I was having a top of fun playing with Gephi and Tableau. Even thought the source material wasn't that meaningful to me I was having fun exploring the potential of these tools for analytics. This week we got our hands on Rapidminer a free(mium) piece of software that provides an environment for machine learning, data mining and predictive analysis.  Sounds pretty cool, doesn't it?  I do have to say that the drag and drop aspect of the application does make it ridiculously easy quickly put together some blocks to analyze a chunk of data. The caveat is that you need to know what the heck you are doing (and obviously I didn't ;-) ).  I was having loads of issues navigating the application, and I somehow managed to not get some windows that I needed in order to input information to, and I couldn't find where to find the functions that I...

Wow, hard to believe, but we've reached the final module of Connected Courses (and boy is my brain tired!).  I found out last week that there may be a slim chance of me being able to teach Introduction to Instructional Design (INSDSG 601, a graduate course) at some point in the new future. This is something that was offered to me a couple of summers ago, but being away on vacation at the time (with questionable internet access) it didn't seem like a good idea to be teaching an online course. I've been poking around the course shell, here and there, over the past couple of years (even since teaching this course was a remote possibility) to get ideas about how to teach the course.  The previous instructor, who had been teaching this course for the past 10 years but recently refocused on other things, did a good job with the visual design of the course. It's easy to know what you are are supposed to do each week.  Then again, from the design of the course I can see th...

Week 6 CCK11 blog connections I was trying for a smarter title for this episode of #dalmooc thoughts, but I guess I have to go with Armchair Analyst since I ended up not spending a ton of time with either Gephi or Tableau last week. So, the reflection for week 4 is mostly on theoretical grounds; things I've been thinking about (with regard to learning analytics) and "a ha" moments from the videos posted. I think week 3 and week 4 blend together for me.  For example, in looking at analytics the advice, or recommendation, given is that an exploration of a chunk of data should be question driven rather than data-driven.  Just because you have the data it doesn't necessarily mean that you'll get something out of it.  I agree with this in principle, and many times I think that this is true.  For instance, looking back at one of our previous weeks, we saw the analytics cycle.  We see that questions we want to ask (and hopefully answer) inform what sort of data...

CCK11 Tweet visualization Alright, after a few days of being sidelined with a seasonal cold, I'm back on #dalmooc.  Still catching up, but I have a feeling I am getting closer to being at the same pace as the rest of the MOOC ;-)  In any case, this is a reflection on week 3 where we started messing around with social network analysis (SNA).  This is cool because it's something that I had started doing on another MOOC on coursera, with Gephi, so it was an opportunity to get back on and messing with the tool. So, what is SNA?  SNA is the use of network theory to analyze social networks.  Each person in this network is represented by a node (or edge), and nodes  can be connected to other nodes with a vertex (or many vertices). These connections can indicate a variety of things (depending on what you are examing), however for my usage in educational contexts I am thinking of vertices as indicators of message flow, who sends messages to whom in a network...

What do you get when you mix connected courses, thinking about academia, and cold medicine?  The answer is a blog post (which I hope makes sense) :-) As I was jotting down my initial thoughts on co-learning in the previous post I completely forgot to address some of the initial thinking questions for this module.  Here are some initial thoughts on co-learning and how I would address these questions: What is co-learning and why employ it? For me co-learning is when two or more people are working together to solve a problem and learn something new.  As I wrote in my previous post, the individuals in this community do not all need to start from the same point. There can, and will, be learners that are more advanced in certain areas as compared to others.  This is perfectly fine, and it's realistic to expect this.  This can be a community of practice, it can be a broad network of learning, or a loosely connected network of learning that centers around a hashta...

Continuing with my exploration of DALMOOC, we've reached the end of Week 2 (only a few days late ;-)  ).  I've been playing with Tableau, which I can describe as Pivot Tables on steroids.  I briefly explored the idea of getting some IPEDS data to mess around with, however that proved to be a bit more challenging than I had anticipated. So, I ended up using the sample data of course evaluations to figure out how to work Tableau.  The following are some interesting visualizations of the data that I had: The one thing I realized, as I was playing around with the data, is that it's really important to really know what your data means.  I thought I knew what the categories meant, because I thought that institutions of higher education used similar lingo.  The more I played with the data, the more I realized that some things weren't what I was expecting them to be.  Thus, in order to know what is being described and portrayed through the visualiza...

I've had this app on my iPad, by TechSmith, for the past few years, but I've never really used it.  The App is called ScreenChomp and it allows you to have a digital whiteboard that you can use to write and narrate.  I through that a plain text description of the learning analytics cycle (still catching up on week 2 of DALMOOC) would probably be confusing, and using PowerPoint and Adobe Presenter would be too static.  So, I applied the learning analytics cycle to a course I teach, and I decided to hand-write everything. Heck I attempted to draw as well, but my lack of artistic talent shows ;-) Direct link to the screenchomp (if the embed doesn't work):  http://www.screenchomp.com/t/qE1lplho DALMOOC Week 2, Description of the Data Analytics Cycle from Apostolos K. on Vimeo . How does this cycle apply to your courses?

My Twitter Analytics, 10/2014 Another day, another #dalmooc post :)  Don't worry, I won't spam my blog with DALMOOC posts (even if you want me to), I don't have that much time.  I think over the next few days I'll be posting more than usual in order to catch up a bit.   This post reflects a bit of the week 1 (last week's) course content and prodding questions. I am still exploring ProSolo, so no news there (except that I was surprised that my twitter feed comes into ProSolo.  I hope others don't mind seeing non-DALMOOC posts on my ProSolo profile. Week 1 seemed to be all about on-boarding, of tools and definitions.  So what is learning analytics?  According to the SOLAR definition, "Learning Analytics is the measurement, collection, analysis, and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs." It's a nice, succint, definition - which I had...

Alright, I guess it's time to start really committing some braincells (and time) to DALMOOC, the Data, Analytics, and Learning MOOC that started last week on EdX.  I wasn't going to attend this MOOC, to be honest about it, but seeing that George Siemens was behind this, I knew that there was an experimental aspect to it. Learning analytics is not new to me, my first MOOC (cMOOC) in fact was LAK11 (Learning Analytics and Knowledge) which I jumped into right after I finished my Applied Linguistics studies. So, now that I have cleared my plate of a number of coursera MOOCs (decided to give myself the "audit" status and just download the videos for later viewing - maybe in January or something), and that most of my assignments are done for EDDE 801, I can devote a little more time to writing in the open web about academic stuff and ponderings about academic stuff. So, what brought me to DALMOOC? The first thing that brought me to it is this xMOOC/cMOOC structure tha...