Understanding Communication Patterns in MOOCs: Combining Data Mining and qualitative methods

Massive Open Online Courses (MOOCs) offer unprecedented opportunities to learn at scale. Within a few years, the phenomenon of crowd-based learning has gained enormous popularity with millions of learners across the globe participating in courses ranging from Popular Music to Astrophysics. They have captured the imaginations of many, attracting significant media attention - with The New York Times naming 2012 "The Year of the MOOC." For those engaged in learning analytics and educational data mining, MOOCs have provided an exciting opportunity to develop innovative methodologies that harness big data in education.Comment: Preprint of a chapter to appear in "Data Mining and Learning Analytics: Applications in Educational Research

Structural limitations of learning in a crowd: communication vulnerability and information diffusion in MOOCs

Massive Open Online Courses (MOOCs) bring together a global crowd of thousands of learners for several weeks or months. In theory, the openness and scale of MOOCs can promote iterative dialogue that facilitates group cognition and knowledge construction. Using data from two successive instances of a popular business strategy MOOC, we filter observed communication patterns to arrive at the "significant" interaction networks between learners and use complex network analysis to explore the vulnerability and information diffusion potential of the discussion forums. We find that different discussion topics and pedagogical practices promote varying levels of 1) "significant" peer-to-peer engagement, 2) participant inclusiveness in dialogue, and ultimately, 3) modularity, which impacts information diffusion to prevent a truly "global" exchange of knowledge and learning. These results indicate the structural limitations of large-scale crowd-based learning and highlight the different ways that learners in MOOCs leverage, and learn within, social contexts. We conclude by exploring how these insights may inspire new developments in online education.Comment: Pre-print version. Published version available at http://dx.doi.org/10.1038/srep0644

Cross-disciplinary lessons for the future internet

There are many societal concerns that emerge as a consequence of Future Internet (FI) research and development. A survey identified six key social and economic issues deemed most relevant to European FI projects. During a SESERV-organized workshop, experts in Future Internet technology engaged with social scientists (including economists), policy experts and other stakeholders in analyzing the socio-economic barriers and challenges that affect the Future Internet, and conversely, how the Future Internet will affect society, government, and business. The workshop aimed to bridge the gap between those who study and those who build the Internet. This chapter describes the socio-economic barriers seen by the community itself related to the Future Internet and suggests their resolution, as well as investigating how relevant the EU Digital Agenda is to Future Internet technologists

The Global Platform Economy: A New Offshoring Institution Enabling Emerging-Economy Microproviders

Global online platforms match firms with service providers around the world, in services ranging from software development to copywriting and graphic design. Unlike in traditional offshore outsourcing, service providers are predominantly one-person microproviders located in emerging-economy countries not necessarily associated with offshoring and often disadvantaged by negative country images. How do these microproviders survive and thrive? We theorize global platforms through transaction cost economics (TCE), arguing that they are a new technology-enabled offshoring institution that emerges in response to cross-border information asymmetries that hitherto prevented microproviders from participating in offshoring markets. To explain how platforms achieve this, we adapt signaling theory to a TCE-based model and test our hypotheses by analyzing 6 months of transaction records from a leading platform. To help interpret the results and generalize them beyond a single platform, we introduce supplementary data from 107 face-to-face interviews with microproviders in Southeast Asia and Sub-Saharan Africa. Individuals choose microprovidership when it provides a better return on their skills and labor than employment at a local (offshoring) firm. The platform acts as a signaling environment that allows microproviders to inform foreign clients of their quality, with platform-generated signals being the most informative signaling type. Platform signaling disproportionately benefits emerging-economy providers, allowing them to partly overcome the effects of negative country images and thus diminishing the importance of home country institutions. Global platforms in other factor and product markets likely promote cross-border microbusiness through similar mechanisms

Networked but Commodified: The (Dis)Embeddedness of Digital Labour in the Gig Economy

This article investigates the (dis)embeddedness of digital labour within the remote gig economy. We use interview and survey data to highlight how platform workers in Southeast Asia and Sub-Saharan Africa are normatively disembedded from social protections through a process of commodification. Normative disembeddedness leaves workers exposed to the vagaries of the external labour market due to an absence of labour regulations and rights. It also endangers social reproduction by limiting access to healthcare and requiring workers to engage in significant unpaid ‘work-for-labour’. However, we show that these workers are also simultaneously embedded within interpersonal networks of trust, which enable the work to be completed despite the low-trust nature of the gig economy. In bringing together the concepts of normative and network embeddedness, we reconnect the two sides of Polanyi’s thinking and demonstrate the value of an integrated understanding of Polanyi’s approach to embeddedness for understanding contemporary economic transformations

Good Gig, Bad Gig: Autonomy and Algorithmic Control in the Global Gig Economy

This article evaluates the job quality of work in the remote gig economy. Such work consists of the remote provision of a wide variety of digital services mediated by online labour platforms. Focusing on workers in Southeast Asia and Sub-Saharan Africa, the article draws on semi-structured interviews in six countries (N = 107) and a cross-regional survey (N = 679) to detail the manner in which remote gig work is shaped by platform-based algorithmic control. Despite varying country contexts and types of work, we show that algorithmic control is central to the operation of online labour platforms. Algorithmic management techniques tend to offer workers high levels of flexibility, autonomy, task variety and complexity. However, these mechanisms of control can also result in low pay, social isolation, working unsocial and irregular hours, overwork, sleep deprivation and exhaustion

Networked cultural production: filmmaking in the Wreckamovie community

This thesis challenges core assumptions associated with the peer production of culture using the web-based collaborative film production platform Wreckamovie to understand how peer production works in practice. Active cultural participation is a growing political priority for many governments and cultural bodies, but these priorities are often implemented without a basis in empirical evidence, making it necessary for rigorous scholarship to tackle emerging networked cultural production. Existing work portrays peer production efforts as unrealistically distinct from proprietary, market-based production, incorrectly suggesting that peer production allows distributed, non-monetarily motivated, collaboration between self-selected individuals in hierarchy-free communities. In overcoming these assumptions, this thesis contributes to the development of a consolidated theoretical framework encompassing the complicated and multifaceted nature of networked cultural production. This theoretical framing extends Bourdieu’s theory of cultural production and reconciles it with Becker’s Art Worlds framework, and further embeds and draws on Benkler’s notion of commons-based peer production. Concretely, this research tackles the emergence of new collaborative production models enabled by networked technologies, and theorizes the tensions and challenges characterizing such production forms. Secondly, this thesis redefines cultural participation and considers the divisions of labour in online filmmaking materializing from the interactions between professional and non-professional filmmakers. Finally, this study considers the social economies surrounding networked cultural production, including crowdfunding, and characterizes associated conversions of capital, such as the conversion of symbolic capital into financial capital. Methodologically, this thesis employs an embedded case study strategy. It examines four feature film productions facilitated by the online platform Wreckamovie, as well as the online community within which these productions are embedded. The four production cases have completed all production stages, and have resulted in completed cultural goods during the course of data collection. This study’s findings were derived from two and half years of participant observations, interviews with 29 Wreckamovie community and production members, and the examination of archived production-related discourses (2006-2013). Ultimately, this study makes concrete proposals towards a theory of networked cultural production with clear policy implications.</p

Chapter 5 : Global earnings disparities in remote platform work: liabilities of origin?

We examine how geography shapes workers' pay rates in the global platform economy, using transaction data from a major online labour platform and quotes from interviews to motivate and illustrate the quantitative analyses. Approximately 35 percent of variation in workers' pay rates is attributable to differences between their home countries, with workers from richer countries earning more. Our exploratory analyses suggest that this is not because of country differences in worker competence, but because workers from lower-income countries have fewer local labour market opportunities and are therefore willing to accept lower-paid gigs online. We also find that clients' perceptions of workers' home countries can explain a significant part of the variation in pay rates, though we do not rule out alternative explanations. We draw comparisons to disadvantages faced by emerging-economy firms seeking to break into international markets, and to immigrants entering host country labour markets, and discuss implications to development policy and platform design.The International Development Research Centre and the European Research Council.https://www.e-elgar.com/shop/gbp/work-and-labour-relations-in-global-platform-capitalism-9781802205121.htmlhj2023Gordon Institute of Business Science (GIBS