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I recently read OUseful’s post “Participatory Surveillance: Who’s been tracking you today?” (really want a Trackr or five now…) and then happened to read Tribal’s post “Without data student information is nothing” and the juxtaposition of the two really got to me.
There’s a lot these days (I hate that phrase…) about how we’re losing privacy left, right and centre and how we must protect it at all costs or be outraged that companies like Google and Facebook don’t have the right privacy policies that work for absolutely everyone. Don’t get me wrong: privacy is important for a great many things (banking is the one that really comes to mind), but the perfect privacy ship sailed a long long time ago. Any notion that we can somehow go back to a point where all and sundry don’t know at least our shopping habits is ridiculous and not actually necessarily desirable.
Because then we have the flip side of the coin: data. Wonderful, glorious data! Data that we could never have conceived of having let alone thought up the uses for even 5 years ago. On just our phones most of us now have health data, shopping data, banking data, location data, contacts, browser history, game data…the list goes on and on. And when we start mixing some of those datasets together (either with more of your own data or other people’s data) magic can happen.
Take the Tribal article linked to above. It has this picture of some of the data University’s probably already have about their students.
And this is by no means exhaustive. Imagine the support that could be provided for students with the right ways of analysing this data. Provide the right summaries to student tutors and you could have a truly individually tailored learning experience, where your tutor understands that you prefer to work off campus and can’t always attend all your lectures, but have every book on the subject out from the library and spent crazy amounts of time on the VLE catching up on notes and being an active member of discussions there. Or that you come to every lecture, but mostly to sleep and have never cracked a book or been on the VLE except at induction, and judging from your previous academic history barely even scraped a place. Or even that you’ve really intended to join in the discussions on the VLE, but you have 5 calls in to support right now and maybe you need a bit of help chasing those up. The possibilities are mind-boggling.
But this would mean that someone is (gasp!) tracking your data. Logging it even. Maybe even storing it so that it can follow you throughout your academic career from the very start. The question is whether we are prepared to give up our privacy for the benefits.
I, for one, welcome our new data overlords. So much is done with our data already from commercial reasons, I say let’s at least exploit it as much as we can for useful reasons as well.
What do you think? Where would you draw the line between privacy and data?
The new UCAS Postgraduate system is up and running, replacing the old Data Collection system (at least for PG).
We’ve been looking forward to having a look at this new system for a number of reasons, not least of which is that UCAS has put some substantial effort into keeping institutions apprised of progress as it was being developed with regular webinars. Even more: they seem to have taken on board a lot of what people have been asking for, so, in theory, this should be a more straightforward system to use. I’ve already spotted (and used) the feedback button on the course editing side – we can only hope that people will give feedback and it will be taken into account. If so, this system could end up being one of the better ones to use.
What’s really got us excited though is that UCAS confirmed all the way through the process that this system will be taking XCRI-CAP feeds! Anyone who’s worked with us will know that we’ve been working with XCRI-CAP right from helping to write it all the way through so many projects, the Course Data Programme and now we’re working with Prospects to get it rolled out for PG courses. It’s fantastic to have another aggregator on board. As the British Standard for communicating course marketing information it is just what is needed to get consistency and accuracy across all aggregators.
We were warned that XCRI-CAP functionality would not be up and running straight away, but we have hopes that in the next couple of months there will be an update to include it. Looking at the course editing area it certainly looks well structured for XCRI-CAP and I can’t wait to try setting up a feed. As course marketing distributors for Birkbeck, University of London and The OU this will save us, and them, a lot of time once it’s ready as no keying will be needed for Prospects or UCAS PG.
That’s a heading I never thought I’d write – but why not? Service Design methods make services that work for everybody, and in an increasingly service oriented culture it’s something we desperately need more of.
A couple of years ago we were fortunate enough to have the opportunity to do some Service Design work with a University in the North around student enrolment. The standard enrolment period in September/October is a busy time for students, many of whom are leaving home and working out life stuff for themselves for the first time. This University was finding low student satisfaction with the enrolment process, and we were brought in to look at it from the students’ points of view specifically to see what changes could be made.
Here is some of the advice we were able to give on enrolment:
Make it a celebration!
Yay! You made it! Welcome to University! Here are all the wonderful things you’re going to be able to see and do and learn now that you have your student card!
So often Universities see enrolment as a series of necessary admin tasks to drag these poor students through and get over and done with. Students are often left worn out, confused, saddened and a little lost in all the drudgery. The key point we wanted to make was that this may be a peak of annoying work for staff, but for each individual student this is a huge event, which colours their entire view of the University, and the choices they’ve made to get there. At every stage it should be treated as a celebration – they’ve done well, they’ve arrived at something they’ve been striving for, and, yes, the next couple of months are going to be tricky while they find their feet, but the message at every turn needs to be that this tricky spot is going to be worth it, and they are going to be supported.
Welcome to the 21st Century
Many Universities are notorious for an unwillingness to let go of paper processes. While some have embraced the online revolution, I think it’s safe to say that most are a bit behind the curve. For every bit of paper a new student has to remember to bring to the right place at the right time, there is a chance for the system to break down. So let go of paper – wherever possible, let students provide information electronically. Preferably get them to do it in advance, so that you can let them know exactly what’s outstanding, before they make a potentially very long journey to get to you. Some things will still need to be done in person and will need to involve paper, but the less paper you require, the better it will be for everyone.
The Space-Time Continuum
A timetable that requires a student to be in two places at once is about as helpful as one that requires them to travel to campus from their job/childcare arrangements/home two buses away for 5 mins before leaving again.
The enrolment timetable may be the trickiest part of the whole enrolment experience, but arguably the one that will make it go smoothest. No one wins when students are pulled in every direction at once. Universities have mastered this (to an extent) when it comes to timetabling teaching time, but enrolment activities tend to be organised in a separate process that can leave students with decisions about whether to go to their very first lectures or induction events or get their finances sorted. But the geography of these things also needs to be considered: making students run half a mile across an unfamiliar campus because of appointments that almost, but don’t quite, overlap, is stressful and isn’t likely to result in the enrolment processes running on time either.
Although staffing large chunks of time is obviously a problem, any flexibility that can be given to students will ease their constraints and make them more likely to be physically capable of making it to their appointments…whether they actually turn up of course depends on the student.
It’s the little things
As anyone familiar with Service Design will probably be aware, most people actually don’t mind queuing (and we’re not just talking about the British). Give them some space, a nice environment, some idea of how long it’s likely to be and a chance to sit down, and people aren’t generally too fussed. It’s a bonus if you can provide some form of entertainment, even if that’s just information about the next stages of enrolment, or doctor’s surgery magazines. This should not need to be said but: kettling is never pleasant.
Signage was the other big problem we found at this particular University: having a sign on a door that they need to go into say “Authorised personnel only” because that’s true for the rest of the year, isn’t terribly helpful. Walk through the spaces you want your students to walk through – it’s the biggest boost you can give to your process.
On doing a bit extra for your students: this is a stressful time for most of them, and there will be those who have extra needs in order to manage this. If you can provide a well signposted quiet space for students to take a breather before diving back into the melee, it can make their lives a little easier. And this doesn’t just have to be for students who have medically diagnosed needs: plenty of other students value a chance to have somewhere to collect themselves.
These are just some of our headline points on Service Design in enrolment, and we’d love to hear about your experiences – leave us a comment if you’ve been through this process in your University.
If you would like more information about our findings on enrolment processes, or help with Service Design in your University, please get in touch at email@example.com.
We’ve been working recently with a couple of our university clients on the brand spanking new UCAS Course Collect system. This is a data entry service, or if you prefer, a part of the UCAS website where you can key in courses information. It captures information for course marketing purposes and relevant stuff for the UCAS admissions system. It replaces the old netupdate / web-link for courses.
Like all new systems, Course Collect has had a few teething troubles from a university or college perspective. Getting used to a new system for keying is always a bit of a trial, and Course Collect gathers more data within a more structured information model, so it’s almost bound to be complex. We now have Programme > Subject Option >Course > Stage as the structure instead of the very flat one in netupdate. So there’s more flexibility in how the data is represented, but a greater demand for data on universities and colleges.
Data was migrated in May from the old netupdate service, so our early summer has been taken up with checking the data, amending errors on migration, and adding in new courses to be ready for Clearing and then the new season. And of course, we’re managing both 2013 and 2014 entry data.
Particular problematic areas were:
- Some slight glitches in approving migrated data, especially where the migrated data was too large for the new field size. This took a few weeks to resolve.
- Paging of lists limited to 15
- Establishing how to get entry requirements information to appear in the right place in the new course finder tool on the UCAS website, which uses Course Collect data.
- Complications around showing admissions tests and esoteric prerequisites
- An annoying lack of Help in the Help system
- A rather messy mess in the Entry Profiles area, which won’t be settled until early September
- And at the moment it doesn’t want to work on my Chrome setup.
As we’re really XCRI-CAP people at heart, we continue to encourage UCAS to dispense with this old-fashioned ‘key everything in’ method of data collection and to adopt the XCRI-CAP information standard for bulk updating. To that end I’ve [ed: Alan that is] been doing some mapping of XCRI-CAP to UCAS Course Collect, and also having some thoughts about how a process of getting XCRI-CAP data into the UCAS system might be made to work.
Our conclusion on Course Collect is ‘the jury’s still out’. Now that we’re down to maintaining the data and only adding in new courses occasionally, it might represent an improvement on the old services. However, my personal view is that we need some good quality management and reporting facilities, and a better workflow sub-system to bring this service up to ‘good’.
We’ve made some small changes to our Salami demonstrator. Jen has pulled in some useful data from the LMI for All API – details of the latter are on the UKCES LMI for All web page. The new version of the Salami HTML Demo is here: http://188.8.131.52/Salami_1/salami_1.
LMI for All has a range of information, including estimated hours and estimated salaries for particular ranges of jobs. These are determined by SOC Code, as shown in the example here for structural engineer (SOC Code 2121, which covers a range of engineering jobs):
You can also pull in information about actual job vacancies from the LMI for All API; it uses the Department for Works and Pensions Universal Jobmatch database as source data. We’re not yet pulling these in, because currently there’s no suitable coding on the Universal Jobmatch data to link it in. However, it’s a ‘watch this space’ situation.
Today is our day for the dissemination of our MUSAPI project outputs, which Kirstie and I (amongst others) are presenting via a webinar on Blackboard Collaborate. This will briefly feature our Salami Course>Job Profile button, as well as the MUSAPI demonstrator, of which more later. Before you dash away to use the demo, just a quick note that we’re still working on it, so use with caution!
The Salami Layer
We’ve been developing a prototype of the ‘Salami Layer’ idea first mooted a while back as a result of the University of Nottingham’s Salami project. This is all about linking data together to make useful services for people, and to provide more nodes in a growing network of interoperable data.
Salami focused on labour market information. We’ve been taking it forward in the MUSAPI (MUSKET-SALAMI Pilots) project with a view to producing a hybrid service (or services) that use both the MUSKET text description comparison technology and the SALAMI layer material to link together courses and job profiles.
Salami HTML Demo
Thanks to the skill of our newest member of staff at APS (Jennifer Denton), we now have a demonstrator here: http://184.108.40.206/Salami/salami. It uses recently published XCRI-CAP feeds from The Open University, Courtauld Institute and the University of Leicester as the source of its courses information (noting that these are not necessarily comprehensive feeds). Job Profile information has come from Graduate Prospects, from the National Careers Service and Target Jobs.
The purpose of the demonstrator is to show how we can link together subject concepts that are used to find courses with occupation concepts used to find job profiles. It relies on classifying courses with appropriate terms, in this case JACS3, for the discovery of relevant courses, mapping subject concepts to occupation concepts and then linking in the job profiles. This last task was done by attaching them to the occupation terms (in this case CRCI – Connexions Resource Centre Index – terms), rather than by searching – that will come later. All of these bits were wrapped up in a thesaurus. We then made it all go via a MySQL database, some Java code and a web page. There are some sharp edges still as we haven’t finished cleaning up the thesaurus, but I think it shows the principles.
We haven’t used random keywords, but well known classification systems instead, so that we can develop a discovery service that produces relevant and ranked results (eventually), not just a Go0gle-style million hits listing.
The way the demonstrator works is as follows:
- Select a term from the drop-down list at the top. This list consists of our thesaurus terms of a mixture of academic subjects for searching for courses and occupation terms for searching job profiles. You can start typing, and it will go to that place on the list. For example try “History of Art”.
- Then click Select. This will bring up a list of Related Terms (broader, narrower and related terms with respect to your selection), Subject/Occupation Terms (if you’ve picked a subject, it will show related Occupation Terms; if you picked an occupation, it will show related Subject Terms); and Links to Further Information.
- You can navigate around the search terms we use by clicking on the Refine button next to the entries in the Related Terms and Subject/Occupation Terms lists. For example, if you click on Refine ‘history by topic’, this changes your focus to the ‘history by topic’ subject, and you can then navigate the subject hierarchy from there. If you click on Refine ‘heritage manager’, this changes your focus to that occupation and you can further navigate around jobs about information services or various subjects.
- At the bottom of the page we have a list of links to further information. These will be either links to relevant courses or to job profiles. The former are drawn from XCRI-CAP feeds, the latter are currently hard-wired into our thesaurus – we’re currently developing a method of using live searches for both types of link. For example, for “heritage manager” we have links to Graduate Prospects and Target Jobs profiles for Heritage Manager.
The upshot of the demonstrator is that we can show how to integrate the discovery of both courses and job profiles (and later on, job opportunities) using a single search term.
The technological underpinning of this is our thesaurus, which has the following broad components.
- A ‘master’ table of thesaurus terms with attached classifications (in particular JACS3 for subjects and CRCI for job profiles).
- A table of occupation-subject term links (O>S)
- A table of subject-occupation term links (S>O)
- A table of occupation-profile links, currently for implementation of the job profile URLs.
Inclusion of JACS3 codes on the course records and occupation codes on the job profiles is key to the discovery process, so that we can focus on concepts, not string searching. This means, for example, that a search for ‘history of art’ will find courses such as ‘MA in Conservation of Wall Painting’ or ‘MA in Art History’ (Courtauld Institute and Open University respectively), even though neither of the records or web pages for these courses contains the string ‘history of art’.
Perhaps more importantly we can find out that, if we’re interested in the history of art, there are several job areas that might well be relevant, not simply work in museums and galleries, but also heritage manager – and if we browse only one step from there, we can find occupation areas in the whole world of information services, from archaeologist to social researcher, from translator to patent attorney. And all of these possibilities can be discovered without going from this service to any form of separate ‘careers search’ website.
Our Salami demonstrator suggests that this approach could be extensible to other areas. Perhaps we can link in standard information about qualifications, just a short hop from courses. Maybe we can classify competencies or competence frameworks and link these to courses via vocabularies for learning outcomes / competence / curriculum topics.
The other strand in MUSAPI is the textual description comparison work using the MUSKET technology. Even via our Salami demonstrator, your lists are bald undifferentiated lists. If we can capture a range of search concepts from the user – parameters from their current circumstances, past skills, experience, formal and informal education and training, and aspirations – then we could use the MUSKET tools against the Salami results to help to put the results in to some form of rank order. The user would then be able to refine this to produce higher quality results in relation to that individual’s needs, and our slice of salami will have stretched a long way.