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"This book arises from a series of workshops on collaborative learning, that gathered together 20 scholars from the disciplines of psychology, education and computer science. The series was part of a research program entitled 'Learning in Humans and Machines' (LHM), launched by Peter Reimann and Hans Spada, and funded by the European Science Foundation. This program aimed to develop a multidisciplinary dialogue on learning, involving mainly scholars from cognitive psychology, educational science, and artificial intelligence (including machine learning). During the preparation of the program, Agnes Blaye, Claire O'Malley, Michael Baker and I developed a theme on collaborative learning. "

"This book arises from a series of workshops on collaborative learning, that gathered together 20 scholars from the disciplines of psychology, education and computer science. The series was part of a research program entitled 'Learning in Humans and Machines' (LHM), launched by Peter Reimann and Hans Spada, and funded by the European Science Foundation. This program aimed to develop a multidisciplinary dialogue on learning, involving mainly scholars from cognitive psychology, educational science, and artificial intelligence (including machine learning). During the preparation of the program, Agnes Blaye, Claire O'Malley, Michael Baker and I developed a theme on collaborative learning. "

"The Rhizomik initiative is inspired by the rhizome metaphor when working with knowledge from a scientific, technological but also philosophical point of view. This metaphor has accompanied us in our research about knowledge in many different fields, fundamentally Semantic Web, Human-Computer Interaction, Web Science, Complex Systems and Cognitive Science."

"The Rhizomik initiative is inspired by the rhizome metaphor when working with knowledge from a scientific, technological but also philosophical point of view. This metaphor has accompanied us in our research about knowledge in many different fields, fundamentally Semantic Web, Human-Computer Interaction, Web Science, Complex Systems and Cognitive Science."

"I never expected to be writing about prepositions, but it's the approach I've decided to take with the Rhizo14 auto-ethnography, so I want to sketch what I think I'm doing and why and how I'm doing it. This is a preliminary sketch, so expect abrupt turns of the page and new, emergent directions. In rhizomatic terms, expect lots of deterritorializations and reterritorializations. If you've ever heard the ruffle and rush of a covey of quail scattering in the cold, steel-blue dawn, then you're ready. I became interested in the rhizomatic potential of prepositions after reading the conversation between Bruno Latour and Michel Serres in Conversations on Science, Culture, and Time (1995), in which Serres talks about his "'philosophy of prepositions'--an argument for considering prepositions, rather than the conventionally emphasized verbs and substantives, as the linguistic keys to understanding human interactions." "

This paper uses complexity theory as a means towards clarifying some of Gilles Deleuze's conceptualisations in communication and the philosophy of language. His neologisms and post-structuralist tropes are often complicated and appear to be merely metaphorical. However their meanings may be clarified and enriched provided they are grounded in the science of complexity and self-organising dynamics.

Second Edition (2012) available from Routledge Preface This book is about the learning theories that provide the foundation for the design and development of open-ended learning environments (defined in Chap. 1). During the 1990s, we have witnessed a convergence of learning theories never before encountered. These contemporary learning theories are based on substantively different ontologies and epistemologies than were traditional objectivist foundations for instructional design. This book is intended to provide an introduction to the theoretical foundations for these new learning environments for instructional designers, curriculum specialists, mathematics and science educators, learning psychologists, and anyone else interested in the theoretical state of the art. Edited April 8/14 by Scott J. Dropped the chapter list and replaced with a sample from the section on self-directed learners: Self-Directed Learning and Self-Regulation Theory Chapter 11 Learning Communities: Theoretical Foundations for Making Connections Janette R. Hill "As indicated throughout this chapter, learning is "strongly influenced by setting, social interaction, and individual beliefs, knowledge, and attitudes" (Dierking, 1991, p.4). This is particularly important to keep in mind while turning attention to the individual within the learning community. While there is often a focus on the collective that is the learning community, individuals are the foundation that enable the community to form. Two theories can help guide our understanding of how to support learners within the context of a learning community: self-regulated and self-directed learning. Self-regulation encompasses a variety of individual characteristics, including self-efficacy, motivation and metacognitive skills. Each characteristic has been studied to various extents (see, for example, Lim & Kim, 2003; Oliver & Shaw, 2003; Song & Hill, 2009), with the majority of the studies indicating that all

over correlaties die volstrekt niets met elkaar te maken hebben en toch heel hoog correleren. On spurious correlations

Woodfield, Kandy and Morrell, Gareth and Metzler, Katie and Blank, Grant and Salmons, Janet and Finnegan, Jerome and Lucraft, Mithu (2013) Blurring the Boundaries? New social media, new social research: Developing a network to explore the issues faced by researchers negotiating the new research landscape of online social media platforms. NCRM Working Paper. "On a practical level, some of our network members were struggling with the constant stream of social media data, finding it difficult to keep pace with their participants as they moved on in their conversations and discussions. Digital overwhelm might become counter-productive to reflective social science if researchers are not skilled at managing data flows. Similarly, gathering massive datasets requires a computing power outside of the grasp of many independent researchers or students. The increasing emphasis on 'big data' runs the risk of access to datasets being increasingly concentrated in the hands of a tiny minority of researchers and organisations. An alternative perspective sees this as an opportunity for researchers to come together in creative, cross-disciplinary collaborations, Either way, social researchers will need to find ways of convincing those who own social media sites about the merits of extending, or at least continuing, some freely accessible datasets. The politics of social media research will become an increasingly important agenda for social scientists to engage with. Despite the strengths that social media offer in terms of providing an accessible platform for some marginalised groups, other hard-to-reach populations like the elderly, the poor and those with limited literacy remain more difficult to reach online." Page 12