Last year I started using with Perl to play with analytics around Moodle Book usage. This year, @beerc and I have been starting to play with Jupyter Notebooks and Python to play with analytics for meso-level practitioners (Hannon, 2013). Plotly provides a fairly useful platform for generating graphs of various types and sharing the data.
The following documents the (hopefully) last bit of extra work I have to undertake to prepare the digital “learning space” for EDC3100, ICT and Pedagogy. It’s work that has taken most of my working day. At a time when I can’t really afford it. But it’s time I have to spend if I want to
In June last year I started an exploration into the value of sentiment analysis of student blog posts. This morning I’ve actually gotten it to work. There may be some value, but further exploration is required. Here’s the visible representation of what I’ve done. The following is a screen shot of the modified “know thy
In a bit more than an hour I’ll be talking to @catspyjamasnz trying to nut out some ideas for a project around LX Design and Learning Analytics. The following is me thinking out loud and working through “my issues”. What is LX Design I’ve got some vague ideas which I need to work on. Obviously
The following is a summary and ad hoc thoughts on Macfadyen et al (2014). There’s much to like in the paper. But the basic premise I see in the paper is that to fix the problems of the current inappropriate teleological processes used in institutional strategic planning and policy setting is an enhanced/adaptive teleological process.
The following is a place holder for two presentations that are related. They are: “Four paths for learning analytics: Moving beyond a management fashion”; and, An extension of Beer et al (2014) (e.g. there are four paths now, rather than three) that’s been accepted to Moodlemoot’AU 2015. “The four paths for implementing learning analytics and
Trying to capture some thinking that arose during an institutional meeting re: learning analytics. The meeting was somewhat positive, but – as is not uncommon – there seemed to be some limitations around what learning analytics actually is and what it might look like. Wondering if the following framing might help it draws on points
In Jones and Clark (2014) we drew on Damien’s (Clark) development of the Moodle Activity Viewer (MAV) as an example of how bricolage, affordances and distribution (the BAD mindset) can add some value to institutional e-learning. My empirical contribution to that paper was talking about how I’d extended MAV so that when I was answering
Summary In short, there is definitely a pattern. In fact, there are two patterns evident: Students in higher GPA groups click on a range of different activities and resources at much higher rates than those in lower GPA groups. A greater percentage of students in higher GPA groups will click on resources. There are a
The following is a summary of McNaught et al (2009). This is one of three papers that from the same institution around the LMS that I’ve looked at recently. The abstract for the paper is Despite the existence of a significant number of established interactive e-learning tools and strategies, the overall adoption of e-learning is