Volume 3 Issue 1 Janu
ary 2018
Growth of Mobile Technologies
According to the latest International Telecommunications Union (ITU) data there are still substantial differences in levels of ownership of mobile devices and access to broadband internet between the developing and the developing world. However, it is promising to note that there is a steady growth in the ownership of mobile devices and especially mobile phones across the developing world. This growth in mobile technology adoption has brought much hope for improving the livelihoods of the most disadvantaged. Education is seen as one such domain and mobile learning in particular as an instance of the application of mobile technologies to achieve improved life conditions.
Mobile Technologies in Education
Notwithstanding the rapid growth in ownership of mobile technologies and the promotion of mobile learning as a new model for delivering education, many challenges remain and need to be addressed before we can truly achieve ubiquitous and impactful education via mobile learning. Recent studies suggest that while there is an increase in the adoption of mobile technologies in higher education many problems related to their effectiveness and usage remain [1] such as mobile learning infrastructure, institutional support and design problems related to the pedagogy and content suitable for mobile delivery [2]. These challenges require systematic exploration and this is particularly important in the developing world where the stakes are higher because of resource challenges.
Mobile Learning: Research Agenda for Developing Countries
There is a tendency in the developing world to adopt technologies, practices and models from the developed contexts without due consideration to the local contexts. Our research on mobile learning in Guyana and the Caribbean more widely acknowledged at the outset potential differences and the possible effects these may have on adoption.
Our ongoing research on mobile learning has thus far been two-fold. We are working towards developing a better overview of the level of adoption of mobile technologies in formal learning at the University level in Guyana [2] and across the Caribbean [3]. Our data so far has shown mobile phones technologies are the most widely adopted for learning, that ownership of other types of mobile devices is linked to income; and that students more than lecturers are likely to explore various features on their devices for learning [2]. While we noted an increasing trend in the use of mobile technologies, it is important to understand the factors that might hinder or promote the acceptance and adoption of these technologies in our context. To this end we have assessed a number of technology acceptance models [2] [3] with the aim of determining how well these models work in our context and to help us identify the factors that may or may not be holding up. We found that the attitude towards the use of the mobile technologies for learning is the most important driver of adoption in the Guyanese context. Further, factors may vary across the developing countries context.
Next Steps
We aim to explore two aspects of mobile learning in the near future; one focus will be methodological and the other focuses on mobile computational learning. Our aim is to establish whether these categories can explain the adoption of mobile learning and mobile learning technologies. Second, our work on mobile learning will take a different turn and will explore how mobile technologies can assist the learning of computing. We will undertake a project to bring computing to students at the primary and secondary schools level using the BBC’s Micro:bit technology. This small technology fits the description of the mobile agenda and will allow us to take technology to various schools and groups not constrained by classroom settings. This view of mobile learning will allow us to reach a wider cross section of society using a small resource base.
References
[1] Pimmer, C., Mateescu, M., & Gröhbiel, U. (2016). Mobile and ubiquitous learning in higher education settings. A systematic review of empirical studies. Computers in Human Behavior, 63, 490-501.
[2] Singh, L., Thomas, T.D., Gaffar, K., & Renville, D. (2016). Mobile Learning in the Developing World: Perceptions Using the UTAUT Model. In Handbook of Research on Mobile Devices and Applications in Higher Education Settings. Eds Briz-Ponce, L., Juanes-Mendez, J.A., & Garcia-Penalvo, F.J.
[3] Thomas, T.D., Singh, L., Gaffar, K., Thakur, D., Jackman, G.A., Thomas, M., Gajraj, R., Allen, C., Tooma, K. (2014). Measurement invariance of the UTAUT constructs in the Caribbean. International Journal of Education and Development using Information and Communication Technology (IJEDICT), 10(4), 102-127.


Its founding partners are the
Recent years have seen an impressive rise in the adoption of technology throughout the world. In the global South (Africa, in particular), the use mobile technology has provided access to a wide variety of new services, from weather forecasting for farmers to medicine validation, which aim at enabling development and increasing people’s quality of life.
In a project developed within REFLECT (
It was great to be back in Islamabad to participate in the second two-day workshop organised by the
Understanding the ICT4D landscape, in which the main speaker was Dr. Ismail Shah, the Chairman of the
Serving the most marginalised: accessibility and disability, with a plenary by
Full details of the event can be found on the
The
In a pilot study conducted for this Briefing we decided to focus on two initiatives in Indonesia. First we examined
September 2017
The world is now characterised by news and social media platforms’ intent on delivering alternative facts, fake news and fake research results. Alongside this they harvest insights through algorithms that analyse our online behaviours and preferences. ‘Big data’ becomes big business driven by a global internet machine which if we are not careful will support the interests of ‘the few not the many’ (to turn around an overused party-political phrase!). So, what are our options for creating a future where we can retain a sense of identity, values and freedoms? I certainly do not claim to have the solutions to such huge global challenges facing society, but offer three suggestions to the ICT4D community, all of which underpin the way knowledge can be created and shared in a digital age:
Volume 2 Issue 8 August 2017
At the Summit, Professor Virginia Dignum formulated three principles on which AI development should be based, which I find particularly relevant:
Volume 2 Issue 7 July 2017
We heard many concerns around all the above.