Tackling Digital Inequality: Why We Have to Think Bigger

by Huw Davies 15/03/2017

While the UK government has financed technological infrastructure and invested in schemes to address digital inequalities, the outcomes of these schemes are rarely uniformly positive or transformative for the people involved.

by Huw Davies 15/03/2017

Outcomes of the many schemes financed by the government to address digital inequalities are rarely uniformly positive or transformative for the people involved. Image: iPad by Sean MacEntee (Flickr).

Numerous academic studies have highlighted the significant differences in the ways that young people access, use and engage with the Internet and the implications it has in their lives. While the majority of young people have some form of access to the Internet, for some their connections are sporadic, dependent on credit on their phones, an available library, or Wi-Fi open to the public. Qualitative data in a variety of countries has shown such limited forms of access can create difficulties for these young people as an Internet connection becomes essential for socialising, accessing public services, saving money, and learning at school. While the UK government has financed technological infrastructure and invested in schemes to address digital inequalities, the outcomes of these schemes are rarely uniformly positive or transformative for the people involved. This gap between expectation and reality demands theoretical attention; with more attention placed on the cultural, political and economic contexts of the digitally excluded, and the various attempts to “include” them. Focusing on a two-year digital inclusion scheme for 30 teenagers and their families initiated by a local council in England, a qualitative study by Huw C. Davies, Rebecca Eynon, and Sarah Wilkin analyses why, despite the good intentions of the scheme’s stakeholders, it fell short of its ambitions. It also explains how the neoliberal systems of governance that are increasingly shaping the cultures and behaviours of Internet service providers and schools—that incentivise action that is counterproductive to addressing digital inequality and practices—cannot solve the problems they create. We caught up with the authors to discuss the study’s findings: Ed.: It was estimated that around 10% of 13 year olds in the study area lacked dependable access to the Internet, and had no laptop or PC at home. How does this impact educational outcomes? Huw: It’s impossible to disaggregate technology from everything else that can affect a young person’s progress through school. However, one school in our…

Education, Social Data Science

What are the limitations of learning at scale? Investigating information diffusion and network vulnerability in MOOCs

by Rebecca Eynon 21/10/2014

while a lot is known about the mechanics of group learning in smaller and traditionally organised online classrooms, fewer studies have examined participant interactions when learning “at scale.”

by Rebecca Eynon 21/10/2014

Millions of people worldwide are currently enrolled in courses provided on large-scale learning platforms (aka ‘MOOCs’), typically collaborating in online discussion forums with thousands of peers. Current learning theory emphasises the importance of this group interaction for cognition. However, while a lot is known about the mechanics of group learning in smaller and traditionally organised online classrooms, fewer studies have examined participant interactions when learning “at scale.” Some studies have used clickstream data to trace participant behaviour; even predicting dropouts based on their engagement patterns. However, many questions remain about the characteristics of group interactions in these courses, highlighting the need to understand whether—and how—MOOCs allow for deep and meaningful learning by facilitating significant interactions. But what constitutes a “significant” learning interaction? In large-scale MOOC forums, with socio-culturally diverse learners with different motivations for participating, this is a non-trivial problem. MOOCs are best defined as “non-formal” learning spaces, where learners pick and choose how (and if) they interact. This kind of group membership, together with the short-term nature of these courses, means that relatively weak inter-personal relationships are likely. Many of the tens of thousands of interactions in the forum may have little relevance to the learning process. So can we actually define the underlying network of significant interactions? Only once we have done this can we explore firstly how information flows through the forums, and secondly the robustness of those interaction networks: in short, the effectiveness of the platform design for supporting group learning at scale. To explore these questions, we analysed data from 167,000 students registered on two business MOOCs offered on the Coursera platform. Almost 8000 students contributed around 30,000 discussion posts over the six weeks of the courses; almost 30,000 students viewed at least one discussion thread, totalling 321,769 discussion thread views. We first modelled these communications as a social network, with nodes representing students who posted in the discussion forums, and edges (ie links) indicating…