CFHE12 Week 2 Analysis: Data! Show me your data and I’ll show you mine

What data is available around CFHE12? In this post I look at data feeds available from CFHE12, see what we can get and suggest some alternative ways of getting the data and pulling it in to other services for analysis. Finally I highlight the issues with collecting participant feeds filtered by tag/category/label

JISC OER Rapid Innovation: Finding the technology/standards themes

The JISC OER Rapid Innovation programme is coming to a close and as the 15 projects do their final tiding up it’s time to start thinking about the programme as a whole, emerging trends, lesson learned and help projects disseminate their outputs. One of the discussions we’ve started with Amber Thomas, the programme manager, is how best to go about this. One idea was see if there were any technology or standards themes we could use to illustrate what has been done in these areas. Here are a couple of ways to look at this data.

Summary of social monitoring tools and recipes I use at JISC CETIS

Tools and recipes I use for monitoring and reporting impact. All of the tools use Google Spreadsheets/Apps Script which is free for anyone to use with a Google account, and all the recipes use free tools (the exception being owning a copy of Excel).

Visualizing cMOOC data: Extracting and analysing data from FeedWordPress part 1 #ds106 #NodeXL

Aggregation of content is at the heart of cMOOC design and the RSS resyndication tool FeedWordPress is at the heart of a number of courses including ds106. In this most I explore how data collected by FeedWordPress can be refined and visualised in NodeXL to give an overview of content and using betweenness centrailty identify influencial posts

CFHE12 Week 1 Analysis: Twitter isn’t so massive

As I mentioned in Filtering a Twitter hashtag community for questions and responses I’ve been asked to do some analysis of the Current/Future State of Higher Education (CFHE12) course. Week 1 has mainly been about creating a toolchain that makes it easier to hit a button and get some insight. The focus has mainly been […]

Any Questions? Filtering a Twitter hashtag community for questions and responses [situational awareness] #CFHE12

I believe a key aspect of cMOOCs is how they agregrate content. In this post a present a new tool I created which extracts possible questions tweeted in a hashtag community, agregregating some of the responses and providing an interface to mkae it easy for others in the community respond.

PHP code to bulk collect social share counts from Facebook, Twitter, Delicious, Pinterest and Google +1s and return json

A little snippet of code I’m using to get share counts for a url from a number of services in one call. The idea is I pass a url and I get some json back with counts from Facebook, Twitter, Delicious, Pinterest and Google +1s (if it’s a bad url or nothing returned from the […]

What I’ve starred this month: September 28, 2012

Here's some posts which have caught my attention this month: Times Higher Education – National Student Survey – Key information may not unlock choice – September 27, 2012 How To Get Your YouTube Videos Back From Google – September 27, 2012 Sheila’s work blog » Big data, learning analytics, a crack team from the OU […]

Coursera #compdata week 1: Reflections and playing with reading/subsetting data in R with data from NodeXL

You’ll not find a more mixed blog post: childhood memories; reflections on introductory R coursera course; and reading/subsetting data from NodeXL

New YouTube beta feature to add multiple choice questions – still a bit too beta

Via Doug Holton I spotted that there is a new YouTube beta feature to add multiple choice questions (MCQ) to your Youtube videos. Those who have already taken a course on Coursera (surely everyone has now ;), will know the video with MCQ is one of the staples. Is Google trying to rock the boat in the mass online education market?

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