Archive for the ‘Data’ Category

Travel to university time a factor in student performance

August 14th, 2019 by Graham Attwell

My summer morning’s work is settling into a routine. First I spend about half an hour learning Spanish on DuoLingo. Then I read the morning newsletters – OLDaily, WONKHE, The Canary and Times Higher Education (THE).

THE is probably the most boring of them. But this morning they led on an interesting and important research report. In an article entitled ‘Long commutes make students more likely to drop out’, Ana McKie says:

Students who have long commutes to their university may be more likely to drop out of their degrees, a study has found.

Researchers who examined undergraduate travel time and progression rates at six London universities found that duration of commute was a significant predictor of continuation at three institutions, even after other factors such as subject choice and entry qualifications were taken into account.

THE reports that the research., commissioned by London Higher, which represents universities in the city found that “at the six institutions in the study, many students had travel times of between 10 and 20 minutes, while many others traveled for between 40 and 90 minutes. Median travel times varied between 40 and 60 minutes.”

At one university, every additional 10 minutes of commuting reduced the likelihood of progression beyond end-of-first-year assessments by 1.5 per cent. At another, the prospect of continuation declined by 0.63 per cent with each additional 10 minutes of travel.

At yet another institution, a one-minute increase in commute was associated with a 0.6 per cent reduction in the chances of a student’s continuing, although at this university it was only journeys of more than 55 minutes that were particularly problematic for younger students, and this might reflect the area these students were traveling from.

I think there are a number of implications from this study. It is highly probable that those students traveling the longest distance are either living with their parents or cannot afford the increasingly expensive accommodation in central London. Thus this is effectively a barrier to less well off students. But it is also worth noting that much work in Learning Analytics has been focused on predicting students likely to drop out. Most reports suggest it is failing to complete or to success in initial assignments that is the most reliable predicate. Yet it may be that Learning Analytics needs to take a wider look at the social, cultural, environmental and financial context of student study with a view to providing more practical support for students.

I work on the LMI for All project which provides an API and open data for Labour Market Information for mainly use in careers counseling advice and guidance and to help young people choose their future carrers or education. We already provide data on travel to work distances, based on the 2010 UK census. But I am wondering if we should also provide data on housing costs,possibly on a zonal basis around universities (although I am not sure if their is reliable data). If distances (and time) traveling to college is so important in student attainment this may be a factor students need to include in their choice of institution and course.

 

Learning Analytics Cymru

June 25th, 2019 by Graham Attwell

Jisc report that “Learning Analytics Cymru is generating interest across the world.” The service, which has every higher education institution in Wales signed up and is supported by the Welsh Government, is the focus of a new article for US edtech organisation Educase.

In the piece Jisc consultant Niall Sclater’s  discusses the Learning Analytics Cymru model and how it provides a blueprint for delivering such services on a national scale.

By pooling resources, institutions are benefiting from opportunities to share experiences and learn collaboratively in the emerging field of learning analytics.

Cite your data

June 17th, 2019 by Graham Attwell


Neat short video from the UK data service about why and how you should cite data. Citations are always a bit of a pain, but the video shows how using the DOI make slife easy (and it expelains what the DOI is!

Is manufacturing finished in the UK?

June 12th, 2019 by Graham Attwell

The Guardian newspaper highlights a report by Cambridge University for the Department for Business, Energy and Industrial Strategy (BEIS), showing that Britain’s manufacturing sector is much larger than official figures suggest.

The report argues that official statistics, which estimate that manufacturing output accounts for 9% of national income, are based on “outdated and inaccurate methods of counting” and the figure is much higher.

The report avoids putting a fresh figure on the proportion of GDP accounted for by the sector, but one of its authors said it was nearer 15% once activities tied to the sale of UK-made products, including engineering support and contracted services, were included.

“It is essential that policymakers have accurate information on the size of manufacturing sectors in order to develop an internationally competitive industrial strategy,” said Eoin O’Sullivan, one of the report’s authors.

“In particular, policymakers need to be able to measure manufacturing in a way that better reflects how firms actually organise themselves into value networks.”

While the Guardian news spin on the report focuses on the threat to the manufacturing by tariffs on exports resulting from a no deal Brexit, the report has wider implications. Manufacturing has long been seen as in decline and is accordingly unattractive as a careers option when compared to the growing service sector. Yet the report shows the continuing importance of occupations like engineering.

Understanding data about society

May 29th, 2019 by Graham Attwell

I have often written about the problems in interpreting and making sense of data. I very much like an article ‘What drives anti-migrant attitudes‘ by and published on the Social Europe Site yesterday.

They analysed data from the European Social Survey (ESS)—a biannual survey of Europe’s societies and people’s attitudes since 2002and looking at how people think about migration and migrants. They say: “It is not the presence of migrants as such that generates anti-migrant sentiments: these are strongest in countries with very few migrants. Similarly, on an individual level there is a strong negative correlation between personal contact with migrants and attitudes.”

“The analysis of the data showed that more general societal processes are more likely to shape attitudes: the level of trust in one another and in state institutions, the perception of social cohesion and the feeling of safety in a direct (physical) and indirect (existential) sense. We found that individuals who rejected migrants, extremely and homogeneously, did not differ in demographic characteristics from the rest of the population. Where they did differ was in their subjective perceptions of control: to a much greater extent, they feel they have financial difficulties, are alienated from politics, lack trust and hold security-focused, individualistic values. All in all, people who feel politically disempowered, financially insecure and without social support are the most likely to become extremely negative towards migrants.”

The European Social survey is a time series survey. This allows comparison with earlier results. Messing and Sagvari found a similar pattern in looking at changing attitudes over time. Those countries in which people are more trusting of public institutions, and more satisfied with the performance of their governments, democratic institutions and national economies, are the most likely to be more accepting of migrants.

Where do graduates come from and where do they go?

February 21st, 2019 by Graham Attwell

I’ve written too many times about the problems in sense making from data – particularly where the labour market and education are involved. This presentation from the UK Centre for Cities makes an admiral attempt to use the data to tell a story about where students are coming from to study at Glasgow’s Universities and where they go afterwards.

It has its drawbacks – mainly due to the lack of data. For instance most of the slides fail to show movements in and out of the UK. Also, I would have loved to have more detailed data about what jobs students go into after university, but this data just is not available from UCAS at a more disaggregated level. And I am not very sure about the click bait title: “the Great British Brain Drain.” If there is a brain drain, nothing in the analysis points to one.

It is interesting to see that manufacturing still accounts for 44% of new graduate employment is Glasgow, despite manufacturing only constituting 30% of total employment in the city. This is much more that the 19& of new graduate working in the much heralded knowledge intensive business services sector.

One of their conclusions is very important: its not just about the student experience or the quality of nightlife in a city but more importantly “Ultimately it’s the jobs available to graduates which determine if they stay. By offering more, and better, opportunities the city will attract more graduates, both those who have studied in the city and those moving in for the first time from elsewhere.”

Young people living with parents for longer

February 8th, 2019 by Graham Attwell

WONKHE reports there has been a significant rise in the number of 20 to 34-year-olds living with their parents in the UK, according to analysis of the Labour Force Survey by think tank Civitas.” The analysis, covered by the Financial Times, finds an increase of 791,600 under 35-year-olds living with their parents between 1996-8 and 2014-15. The rise has been noted in all UK regions, with the most pronounced results in London. Civitas puts the increase primarily down to the cost of housing, and suggests that HE participation could be a factor, as more young adults are financially dependent on their parents for longer.”

Th8s brings UK more into line with other countries in Europe, where young people tend to live at home with their parents until tehy are much older than has been in the UK. It also would be interesting to look at the figures (if available) for numbers of people studying at their home town university, rather than following the ‘rites of passage’ to move to college in another twon or city.

AI and education

February 6th, 2019 by Graham Attwell

Fear you are going to be seeing this headline quite a bit in coming months. And like everyone else I am getting excited and worried about the possibilities of AI for learning – and less so for AI in education management.

Anyway here is the promise from an EU Horizon 2020 project looking mainly at ethics in AI. As an aside, while lots of people seem to be looking at ethics, which f course is very welcome, I see less research into the potentials and possibilities of AI (more to follow).

The SHERPA consortium – a group consisting of 11 members from six European countries – whose mission is to understand how the combination of artificial intelligence and big data analytics will impact ethics and human rights issues today, and in the future.

One of F-Secure’s (a partner in the project) first tasks will be to study security issues, dangers, and implications of the use of data analytics and artificial intelligence, including applications in the cyber security domain. This research project will examine:

  • ways in which machine learning systems are commonly mis-implemented (and recommendations on how to prevent this from happening)
  • ways in which machine learning models and algorithms can be adversarially attacked (and mitigations against such attacks)
  • how artificial intelligence and data analysis methodologies might be used for malicious purposes

Graduate Jobs

November 19th, 2018 by Graham Attwell

MPs on the UK House of Commons education committee have released a report titled “Value for Money in Higher Education.” They draw attention to figures from the Office for National Statistics (ONS) that indicated 49 percent of recent graduates (within five years of achieving their degree) were in non-graduate roles in 2017.

This is a significant increase over the proportion at the start of 2009, just after the 2008 financial crash, when 41 percent of recent graduates were in that position. It is matched by a very similar rise even among the population of graduates taken as a whole—including mature students—from 31 percent to 37 percent in the same years.

The report stated: “Higher education institutions must be more transparent about the labour market returns of their courses.” It came with the warning that “too many universities are not providing value for money, and … students are not getting good outcomes from the degrees for which so many of them rack up debt.”

As the title of the report implies, much of the attention on graduate employment is due to the political controversy over the funding of Higher Education in the UK and the cost of participation in degree courses.

But there is another issue which has received less attention: how graduate (and non graduate) jobs are defined.

The Office for National Statistics explains the classification system as follows

1.The skill level groups are created by grouping jobs together based on their occupation according to the Standard Occupation Classification (SOC) 2010 lower level groups. The occupation group is not available for some workers, these have been excluded from the total.

Occupations were grouped by the skill level required according to the following guidelines:

2,1. High – This skill level is normally acquired through a degree or an equivalent period of work experience. Occupations at this level are generally termed ‘professional’ or managerial positions, and are found in corporate enterprises or governments. Examples include senior government officials, financial managers, scientists, engineers, medical doctors, teachers and accountants.

2,2. Upper-middle – This skill level equates to competence acquired through post-compulsory education but not to degree level. Occupations found at this level include a variety of technical and trades occupations, and proprietors of small business. For the latter, significant work experience may be typical. Examples of occupations at this level include catering managers, building inspectors, nurses, police officers (sergeant and below), electricians and plumbers.

2,3. Lower-middle – This skill level covers occupations that require the same competence acquired through compulsory education, but involve a longer period of work-related training and experience. Examples of occupations at this level include machine operation, driving, caring occupations, retailing, and clerical and secretarial occupations.

2,4. Low – This skill level equates to the competence acquired through compulsory education. Job-related competence involves knowledge of relevant health and safety regulations and may be acquired through a short period of training. Examples of occupations at this level include postal workers, hotel porters, cleaners and catering assistants.

The sentence “Occupations at this level are generally termed ‘professional’ or managerial positions, and are found in corporate enterprises or governments.” Arguably this ignores ongoing changes in the economy with high skilled technical jobs being created by Small and Medium Enterprises rather than large corporations. As Malcolm Todd,  Provost (Academic) of the University of Derby, points out in an article in WonkHE: “The current government methodology of using traditional Standard Occupational Codes (SOC) to declare which roles are graduate level is dated. It’s not reflective of the current employment market and is not ready for the future job market. Codes are based on traditional views of careers and highly skilled roles, not the whole requirements of a role.”

He draws attention to Teaching Assistants working with pupils that have special education needs and disabilities, and emerging jobs in the growing retail, social care and hospitality, many of which require high skills but are classified as non graduate jobs. At the same time, jobs presently classified as requiring a degree such as accountants are like to decline due to automation and the use of Artificial Intelligence.

To some degree, the debate is clouded by a perception that graduate level jobs should command a higher salary (an argument used by the Government to justify high university tuition fees. Yet wage growth in the UK has been low across all sectors since the onset of the recession in 2008.

But with growing skills required in a range of different jobs, maybe it is time for a new look at how graduate jobs are classified or even whether dividing employment into graduate or non graduate occupations is relevant any more.

 

Data literacy and participation in adult education

October 17th, 2018 by Graham Attwell

DavidPollardIRL_2018-Oct-15I am ever more interested in the issue of data literacy and agree very much with Javiera Atenas from the Open Education Working Group, London who says “Learning how to use data and information is not just a subject among others, it’s an essential part of civic education.”

But it is not just learning how to use data and information. Perhaps more critical is how to understand and make critical sense out of data. Take the chart above as an example. The difference in participation in adult education are very substantial and on the face of it Nordic countries lead the way. Interesting too that Germany is well back in the middle of the pack. However I am not sure it is quite as it seems. I suspect the data is compiled from national data by Eurostat from the European Labour Force Survey. The issue may be that different countries classify participation in education in different ways.

When I get a free hour or so I wil try to follow this up. Meanwhile any comments and ideas from readers would be welcome.

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