Technology and Social Inclusion

Much of the discussion about new technologies and social equality has focused on the oversimplified notion of a "digital divide." Technology and Social Inclusion moves beyond the limited view of haves and have-nots to analyze the different forms of access to information and communication technologies. Drawing on theory from political science, economics, sociology, psychology, communications, education, and linguistics, the book examines the ways in which differing access to technology contributes to social and economic stratification or inclusion. The book takes a global perspective, presenting case studies from developed and developing countries, including Brazil, China, Egypt, India, and the United States. A central premise is that, in today's society, the ability to access, adapt, and create knowledge using information and communication technologies is critical to social inclusion. This focus on social inclusion shifts the discussion of the "digital divide" from gaps to be overcome by providing equipment to social development challenges to be addressed through the effective integration of technology into communities, institutions, and societies. What is most important is not so much the physical availability of computers and the Internet but rather people's ability to make use of those technologies to engage in meaningful social practices

Web-based collaborative writing in L2 contexts: Methodological insights from text mining

The increasingly widespread use of social software (e.g., Wikis, Google Docs) in second language (L2) settings has brought a renewed attention to collaborative writing. Although the current methodological approaches to examining collaborative writing are valuable to understand L2 students’ interactional patterns or perceived experiences, they can be insufficient to capture the quantity and quality of writing in networked online environments. Recently, the evolution of techniques for analyzing big data has transformed many areas of life, from information search to marketing. However, the use of data and text mining for understanding writing processes in language learning contexts is largely underexplored. In this article, we synthesize the current methodological approaches to researching collaborative writing and discuss how new text mining tools can enhance research capacity. These advanced methods can help researchers to elucidate collaboration processes by analyzing user behaviors (e.g., amount of editing, participation equality) and their link to writing outcomes across large numbers of exemplars. We introduce key research examples to illustrate this potential and discuss the implications of integrating the tools for L2 collaborative writing research and pedagogy

Computational Thinking and Literacy

Today’s students will enter a workforce that is powerfully shaped by computing. To be successful in a changing economy, students must learn to think algorithmically and computationally, to solve problems with varying levels of abstraction. These computational thinking skills have become so integrated into social function as to represent fundamental literacies. However, computer science has not been widely taught in K-12 schools. Efforts to create computer science standards and frameworks have yet to make their way into mandated course requirements. Despite a plethora of research on digital literacies, research on the role of computational thinking in the literature is sparse. This conceptual paper proposes a three dimensional framework for exploring the relationship between computational thinking and literacy through: 1) situating computational thinking in the literature as a literacy; 2) outlining mechanisms by which students’ existing literacy skills can be leveraged to foster computational thinking; and 3) elaborating ways in which computational thinking skills facilitate literacy development