“failure” (CC BY 2.0) by tinou bao When it comes to research I’ve been a bit of failure, especially when measured against some of the more recent strategic and managerial expectations. Where are those quartile 1 journal articles? Isn’t your h-index showing a downward trajectory? The concern generated by these quantitative indicators not only motivated
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.
My current institution is – like most other universities – attempting to make some use of learning analytics. The following uses a model of system conditions for sustainable uptake of learning analytics from Colvin et al (2016) to think about how/if those attempts might be enhanced. This is done by summarising the model; explaining how
The first key takeaway from Motz, Teague and Shepard (2015) is Learner-centered approaches to higher education require that instructors have insight into their students’ characteristics, but instructors often prepare their courses long before they have an opportunity to meet the students. The following illustrates one of the problems teaching staff (at least in my institution)
Below you will find the slides, abstract, and references for a talk given to folk from the University of South Australia on 1 October, 2015. A later blog post outlines core parts of the argument. Slides Abstract In a newspaper article (Laxon, 2013), Professor Mark Brown described e-learning as a bit like teenage sex. Everyone
Wood & Hollnagel (2006) start by presenting the Bounded Rationality syllogism All cognitive systems are finite (people, machines, or combinations). All finite cognitive systems in uncertain changing situations are fallible. Therefore, machine cognitive systems (and joint systems across people and machines) are fallible. (p. 2) From this they suggest that The question, then, is not
Time to refine the visualisation of students by postcodes started earlier this week. Have another set of data to work with. Remove the identifying data. Clean the data. I had to remind myself the options for the sort comment – losing it. The following provide some idea of the mess. [code lang=”sh”][/code] :1,$s/”* Sport,Health&PE+Secondry.*”/HPE_Secondary/ :1,$s/”*
Riel and Pollin (2004) talk about a view of learning that sees learning occurring through engagement in authentic experiences involving the active manipulation and experimentation with ideas and artifacts – rather than through an accumulation of static knowledge (p. 17) They cite people such as Bruner and Dewey supporting that observation. When I read that,
@marksmithers has just written a blog post that makes the following point that talks about a new fund to promote innovation in highered. I know $5M isn’t a huge amount but the principle just seems so misguided. There is no problem with innovation in higher education. The problem is adopting and mainstreaming innovations across a
The Moodlemoot’AU 2015 conference is running working groups one of which is looking at assessment analytics. In essence, trying to think about what can be done in the Moodle LMS code to enhance assessment. As it happens I’m giving a talk during the Moot titled “Four paths for learning analytics: Moving beyond a management fashion”.