Archive for the ‘Wales Wide Web’ Category

Designing Applications To Support Mobile Work Based Learning In The Construction Industry

April 28th, 2015 by Graham Attwell

Along with Joanna Burchert, Gilbert Peffer and Raymond Elferink, I am presenting a paper at the EDEN conference on Expanding Learning Scenarios in Barcelona in June. the paper is based on work undertaken as part of the Learning Layers project. Below is the abstract. And if you would like to read the full paper you can download it from the link at the bottom of this page.

This paper focuses on the use of technology for (mainly informal) learning in Small and Medium Enterprises (SMEs) in the construction sector. It is based on work being undertaken by the EU funded Learning Layers project. The project is aiming to develop large scale take up of technology for informal learning in two sectors, health and construction.

The project includes both research and development strands, aiming to facilitate and support the development, testing and deployment of systems and tools for learning. The wider goals of the project are to develop sustainable models and tools for supporting learning in other countries and sectors. The paper describes the outcomes of empirical research undertaken in the construction sector as well as the co-design process contributing to the development of the Learning Toolbox, a mobile application for apprentices. The empirical research has been undertaken with a wide range of stakeholders in the construction industry, including surveys of apprentices whilst the co-design process has focused on trainers and apprentices.

Any use of mobile technology in and for work depends on the very specific situation and general conditions within a business sector. Hence research and development for mobile digital media includes both peoples’ needs and practices as workers and learners as well as specific business challenges, directions of development and needs concerning knowledge, skills and competencies. Testing and guiding the introduction of such solutions in enterprises and organisations could be understood as one kind of action research. Thus in researching and developing mobile learning applications and digital media for use in SMEs it is important to examine the possible impacts on employees and work processes as well as just the impact or potential for learning. The research in enterprises differentiated four lines of argumentation around the use of digital media: a) anxious-avoiding, b) critical, c) optimistic and d) pragmatically oriented,

Our interviews confirmed that technology is fast changing the world of construction, with increased work pressure and the demand to document work. It was noted that mobile devices are increasingly being used to produce a photographic record of construction work, as part of quality assurance processes. However, there was pronounced scepticism towards what was termed as “VET researcher fantasies” for instance in developing knowledge exchange networks. Companies were not prepared to share knowledge which was seen as giving them a competitive advantage over others.

The initial interviews were followed up with a survey of over 700 first, second and third year apprentices. The survey confirmed the desire for more use of mobile learning and a frustration with the limitations of existing commercial applications. Whilst only a limited number of companies permitted the use of mobile devices in the workplace, 53% of apprentices said they used them for learning or for obtaining work related information, explaining this was in their own time in breaks or after work.

The project is developing a ‘Learning Toolbox’, designed as a comprehensive architecture and framework for apprentice training and continuing training as well as for other services for the building and construction sector. Rather than training the main interest craft trade companies in web tools and mobile technologies is related to real-time, knowledge sharing, communication and problem-solving. Experience with earlier web tools has shown that they do not necessarily contribute to optimisation of work and business processes. However, flexible framework solutions like Learning Toolbox can be customised to their needs. Supplier companies (e.g. vendors of machinery, equipment and materials) want to customise user guidelines, maintenance manuals and instructional media for different users. They also need to develop real-time feedback mechanisms to improve error control mechanisms.

The implementation of Technology Enhanced Learning in SMEs will require capacity building in organisations, networks and sectors. This includes the capacity of trainers to support pedagogically the implementation of technology for learning, the development of technical infrastructure and the capacity of organisations and managements to support the use of technologies.

Finally is the importance of context in work based learning. Mobile learning applications need to be able to adapt to different contexts. These include, but are not limited to, the context of what kind of work is being undertaken, different forms of work organisation and different locations and forms of learning. The Learning Toolbox application is particularly designed to bridge formal and informal learning and to take account of the different contexts of learning in the vocational schools, learning in the industry training centre and learning on the construction site.

Download full paper (Word format) – mobileLearningEDENFIN

Researching MOOCs

April 24th, 2015 by Graham Attwell

In February we held the first annual review meeting for the EmployID project, which is focused on identity transformation and continuing professional development in European Public Employment Services. As part of the review process we have to deliver a series of (substantial) reports detailing the work we have done in different work packages in the project. Pontydysgu are involved in a range of work across the project and additionally coordinate work on Networking, Structuring and Coordination Tools. Having authored the report on this area I am now checking back through it to make sure there is nothing confidential before we publish the reports. And at the same time I thought I would publish selected highlights on this blog.

One focus for our work is around MOOCs. The following section summarises our background research into MOOCs. A future post will outline how we are taking this forward.

MOOCs continue to feature highly at conferences, seminars and events in the Technology Enhanced Learning community and are a subject of some debate and contention. Given the fast moving discussions, this section can only aim to summarise some of the subjects of debate.

There are now hundreds of open online courses available through branded MOOC platforms such as Coursera, Udemy, FutureLearn and Iversity along with self‐hosted courses direct from Universities and even individual lecturers offering open courses outside of their institutions. The vision of the MOOC is exactly that, Massive ‐ anyone can join in, Open ‐ materials available free of charge for all to use and repurpose, Online Course. The extent of the openness of many courses branded as MOOC is questionable, most materials are locked behind logins, passwords and time limits. Some courses come with a fee. As described above, a MOOC is not always a MOOC.

Research by the UK Department for Business Innovation and Skills (BIS) in 2013 highlighted two conflicting strands of thought amongst MOOC professionals.

A strand of enthusiasts welcomes the shake‐up and energy MOOCs bring to learning, teaching and assessment. They report positively on learning experiences and innovative formats of pedagogy, and spotlight themes such as access, empowerment, relationship building and community. This strand is particularly prevalent in the general press. Examples include Shirky and Legon.A strand of sceptics tempers the general enthusiasm along two themes. The supposed benefits of MOOCs were already realised in previous generations of Open and Distance Learning (ODL) innovation – and the innovations of MOOCs are the victory of packaging over content. The MOOC format itself suffers from weaknesses around access, content, quality of learning, accreditation, pedagogy, poor engagement of weaker learners, exclusion of learners without specific networking skills.

The themes emerging from both sides of the argument are those of access and inclusion of learners, quality of content, teaching and learning, networks and communities, and accreditation.

A recent study of MOOCs run by MIT showed that the most typical registrant in the courses were males aged 26 or older with a Bachelor’s degree. However, when the data is viewed in context it is notable that this demographic accounts for less than one in three registrants. Other statistics collected from 17 courses comprising over 600,000 registrants showed that 33% had high school or lower levels of education, 6.3% were over 50, and 2.7% had IP or mailing addresses from countries on the United Nations’ list of least‐developed countries (Rutter, 2014, Ho et.al., 2014, DeBoer et.al., 2014).

The formulaic structure of the branded courses such as Coursera make it easy for a course provider to quickly create an attractive looking sequence of lessons with video, text and assignments. One downside to this method is that there are now hundreds of identical looking courses consisting of video lectures, further reading and the occasional multiple choice quiz. The format has been referred to by critics as “The sage on a stage” and pedagogically reflects the paradigm that teaching is a one‐way process of giving knowledge to another. It is of course possible to use such a platform without being a slave to the formula, but more interaction with students requires more input and more time on the part of the course providers. The issue for the course facilitator is that online courses take time; a survey of professors running MOOCs recently reported that over 100 hours of work occurs before the course has started with a further 8 to 10 hours a week on upkeep (Kolowich, 2013). Factor in that the number of enrolled students on a MOOC can be as high as 160,000 (Rodriguez, 2012) and it becomes evident that dealing with individuals can be an almost impossible task.

Research carried out by MIT into 17 courses on the edX platform suggests that course completion may not be a valid success criteria for online courses or learners. “Course completion rates, often seen as a bellwether for MOOCs, can be misleading and may at times be counterproductive indicators of the impact and potential of open online courses.”

The researchers found evidence of large numbers of registrants who may not have completed a course but still accessed substantial amounts of course content.” (Rutter, 2014)

One of the most contentious debates has been dropout and completion rates. MOOCs in general have a very high dropout rate when compared to conventional courses (both face to face and online). Critics have pointed to this as evidence of the poor quality of courses and the lack of support for learning. Proponents of MOOCs have countered by pointing out how easy it is to sign up for free and open courses and that many learners join only wishing to undertake part of a programme. Openness, they say, is allowing more learners to embark on courses and that conventional measurements of quality such as completion rates are inappropriate for MOOCs.

The openness and availability of the resources will have some impact on the uptake of an online course by students. Participants can be put off by long registration processes or constant requests for login information. It is interesting to note that when materials are easy to access a number of students continue to access, study and participate in online courses beyond the official synchronous running times. Campbell (2014) describes these participants as “archived‐learners”;

“Despite the lack of a defined cohort, deadlines, strong instructor‐ presence, and the ability to earn a Statement of Accomplishment, archived‐learners indicate similar intent and exhibit similarbehavior to live‐learners. And this behavior extends beyond watching videos to completion of assessments and interaction on the discussion forums.” (Campbell, 2014)

The way in which students interact with online course content can be compared to the way in which people interact with other Web‐based media such as video or social network sites. (Rutter, 2014).

Research shows that students tend to navigate a non‐linear pattern through course content with students deemed successful (in that they achieved the certification available for the course) skipping around 20% of the content (Guo & Reinecke, 2014).

BIS (2013) summarises that “Learners who have completed MOOCs emerge from the literature as relatively enthusiastic about the MOOC format. Different kinds of learner experience have been identified, and passive consumption or lurking in a MOOC is a common pattern. The consensus is growing that lurking and auditing have validity as a learning activity within MOOCs, and that non‐completion is not a significant problem in this learning format.”

The early cMoocs were developed using a mixture of Open Source and homegrown software and some providers continue to follow such an approach. The last two years have seen the rapid emergence of MOOC platforms, driven in part by the need to ensure scalability and in part by attempting to standardise and facilitate MOOC design. Most, although not all, of these platforms have been developed by private organisations, often backed by venture capital funding and working in partnership with academic organisations for providing content. There have been some innovations, for instance in allowing designers to annotate video.

There has been some criticism by course developers of the limitations of platforms, particularly the xMooc platforms.

It is likely that more platforms will be released over the next two years and that some will be available as Open Source Software

Technology is not a panacea

April 20th, 2015 by Graham Attwell

As regular readers will know, one of teh major projects we are involved in is the Learning layers project, focused on technology support for informal learning in the construction and health sectors. As part of this we are involved in ongoing scoping, concerning both the introduction of new technologies and the changes in work practices and organisation that this entails.

Probably the biggest news in construction is the introduction of Building Information Modelling (BIM) defined by Wikipedia as “a process involving the generation and management of digital representations of physical and functional characteristics of places”. BIM has been seen as almost revolutionising the construction industry and offering considerable savings in the coordination and execution of construction projects, improved logistics, waste saving and the long term management of buildings. The adoption of BIM is mandatory in the European Union for public construction contracts, although different European member states have different adoption timetables. Two of the countries in the forefront of adoption are Norway and The UK. In this respect a survey and report from the UK’s National Building Specification released last week produced surprising findings.

According to Buiding.co.uk :

The survey, of over 900 respondents from across the construction industry carried out by RIBA Enterprises offshoot NBS, shows that the proportion of firms saying they use the modelling technology has dropped from 54% last year to 48%.

The report concludes that “there remain a significant number of practices who do not see the advantages of BIM, and so chose not to adopt, or who are currently unable to adopt BIM, because of time, cost, or expertise.”

The reported fall contrasts with the rapid rise in BIM usage when the survey was last conducted. The drop in this year’s survey is particularly surprising, given the 2016 deadline for all central government funded projects to use Level 2 of BIM.

Of course 900 is a relatively small respondent base, given the number of construction firms. But it seems likely those responding are more likely to have an interest in BIM and are more likely to represent larger companies. Therefore the results beg some thinking about. it appears one of the biggest challenges is skills shortages. But such skills shortages come at a time when construction is struggling to come out of recession. Probably a bigger issue is the introduction of complex software and process management systems without adequate training for staff and without time for consideration of the necessary reorganisation of work process to cope with such change. There is also an issue as to the cost of adapting such systems, particularly in an industry dominated by Small and Medium (more small than medium) enterprises. Finally I am unconvinced that the top down imposition of such systems is the right way to go in instigating and sustaining innovation and change. Research of previous disruptive changes due to technology introduction (for instance in the motor car manufacturing industry) suggest that such ‘innovation; can lead to a short term fall in productivity. Whilst in a boom this might be absorbed, it is difficult to see how this can happen in the aftermath of the crisis.

The survey may lead to some rethinking about how BIM is introduced. But bringing in such disruptive change without properly analysing and taking measures around education and training and changing work organisations carries a very high risk of failure. the industry in countries like Germany who have hung back in the time scale for adoption, but with better traditions of continuing professional development, will be taking note.

Workplace Learning and Learning Analytics

April 15th, 2015 by Graham Attwell

I have been looking hard at Learning Analytics in the last month. In particular, as part of the European EmployID project application, as a bit of a not really thought through objective, we said we would experiment with the use of Learning Analytics in European Public Employment Services. this raises a series of issues which I will come back to in future ports. It seems to me that whilst there is much talk around the potential of  Learning Analytics in the workplace, there is very limited research and actual applications.

One of the reasons for this is that so much learning in the workplace in informal. As Boud and Hager (2012) say:

learning is a normal part of working, and indeed most other social activities. It occurs through practice in work settings from addressing the challenges and problems that arise. Most learning takes place not through formalized activities, but through the exigencies of practice with peers and others, drawing on expertise that is accessed in response to need. Problem-solving in which participants tackle challenges which progressively extend their existing capabilities and learn with and from each other appears to be common and frequent form of naturalistic development.

I would also add that much workplace learning is also driven through personal interest – a fact that is largely ignored and which has considerable economic implications in terms of workplace competence development. Although we can dream of a world where water cooler conversations are recorded by smart devices and sensors and added to other traces of digital activity, I am not sure this is a desirable outcome. So we have a challenge. most (university and formal education based) learning analytics focus on analysing digital interactions in, for example, a VLE. How can we sensibly and ethically extend data capture and analysis to informal workplace learning?

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