Online collaboration and cooperation : the recurring importance of evidence, rationale and viability

This paper investigates collaboration in teaching and learning and draws out implications for the promotion of collaboration within online environments. It is divided into four sections. First the case for collaboration, including specifically cooperative approaches, is explored. This case revolves around the impact of collaboration on the quality of learning and on learning outcomes. Collaboration is seen as constrained by context but, if structured and rewarded, it will bring important motivational and cognitive benefits. Next, the case for online collaboration is examined. This is based on longstanding arguments about the benefits of working together albeit in an environment which offers greater reach; a mix of media; and archives of interaction. The third section of the paper compares perspectives on online collaboration with a longer tradition of research into collaboration in general; it critiques the idea that online mediation offers a paradigm change in teaching and learning. The fourth section of the paper considers future directions for promoting online collaboration

Learning to become an online editor: the editathon as a learning environment

This study explores Wikipedia as a site for learning. In particular it traces how people learn to become Wikipedia editors through engagement in an editathon, a training event for people who want to become a volunteer editor. The study is original in its emphasis on the various types of knowledge editors acquire as they develop expertise. Determining the knowledge needed to contribute to Wikipedia is significant in terms of understanding Wikipedia as a site for learning. Data was gathered from nine participants who took part in an ‘editathon’ event on the theme of the Edinburgh Seven. The study used a rigorous methodology, combining quantitative social network analysis, documenting the online activity of participants as they created and edited Wikipedia pages, with qualitative interviews, which recorded participants reflections on their participation in the editathon. A key finding is that conceptual and procedural knowledge are representative of the foundational knowledge needed to contribute to Wikipedia actively as an editor. However, this knowledge on its own is not sufficient. Editors also develop socio-cultural and relational knowledge forms of knowledge to enable them to operate and problem-solve effectively. The relationship between the physical and the digital is important, since socio-cultural and relational knowledge are developed through active experimentation as the editathon engage with physical objects to create the online wiki pages

Training teachers for the multimedia age: developing teacher expertise to enhance online learner interaction and collaboration

This article considers the skills that enable teachers to foster interaction and collaboration in online language learning. Drawing on Hampel and Stickler’s (2005) skills pyramid for online language learning and teaching, it presents the pre-service and in-service training programme that associate lecturers in the Department of Languages at the Open University undergo in the context of teaching languages with the help of online communication tools. Two projects are presented that shed more light on the expertise required to teach languages in virtual learning environments. The first project highlights the skills that are needed to teach in a complex online environment; the second one, a teacher training study, aimed to examine distance teachers’ experience of facilitating online group work, identify development needs, try out the potential of specific asynchronous and synchronous tools to support collaborative learning and trial possible development activities. The paper concludes by describing the kind of training programme that tutors require in order to acquire the skills identified

Requests On E-Mail: a Cross-Cultural Comparison

This study investigates differences in request e-mails written in English by Chinese English learners and native American English speakers The results show that while Chinese English learners treat e-mail communications like either formal letters or telephone conversations, native American English speakers regard e-mail communications as closer to written memos It was also found that although the native American English speakers structure their e-mail request messages in a rather direct sequence, the linguistic forms they employ to express their requests are more indirect In contrast, the Chinese English learners structure their request messages in an indirect sequence, but the linguistic forms they use to realize their requests are more direct Given this contrast, it is not surprising that some of the request samples written by Chinese English learners were judged as very impolite by the native English speaking evaluators in this study The findings of this study thus demonstrate the importance of studying requests within the overall discourse in which they occur. Studying only the linguistic forms used in phrasing the request itself, as in the studies conducted by Blum-Kulka et al (1989), cannot provide us with a full picture of the cultural differences inherent in making requestsPeer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/69055/2/10.1177_003368829802900206.pd

Empowering Qualitative Research Methods in Education with Artificial Intelligence

Artificial Intelligence is one of the fastest growing disciplines, disrupting many sectors. Originally mainly for computer scientists and engineers, it has been expanding its horizons and empowering many other disciplines contributing to the development of many novel applications in many sectors. These include medicine and health care, business and finance, psychology and neuroscience, physics and biology to mention a few. However, one of the disciplines in which artificial intelligence has not been fully explored and exploited yet is education. In this discipline, many research methods are employed by scholars, lecturers and practitioners to investigate the impact of different instructional approaches on learning and to understand the ways skills and knowledge are acquired by learners. One of these is qualitative research, a scientific method grounded in observations that manipulates and analyses non-numerical data. It focuses on seeking answers to why and how a particular observed phenomenon occurs rather than on its occurrences. This study aims to explore and discuss the impact of artificial intelligence on qualitative research methods. In particular, it focuses on how artificial intelligence have empowered qualitative research methods so far, and how it can be used in education for enhancing teaching and learning