Proceedings Of The 9th International Conference Of The Learning Sciences Volume 1

Analyzing Interactions in CSCL: Methodology, Approaches, and Issues deepens the understanding of ways to document and analyze interactions in CSCL and informs the design of the next generation of CSCL tools. It provides researchers with several alternative methodologies, theoretical underpinnings of the methods used, data indicating how the method worked, guidance for using the methods, implications for understanding collaborative processes and their effect on learning outcomes and implications for design. CSCL research tends to span across several disciplines such as education, psychology, computer science and artificial intelligence. As a result, the methods for data collection and analysis are interdisciplinary, from fields such as sociology, anthropology, psychology, computer science, and artificial intelligence. This book brings perspectives together, and provides researchers with an array of methodologies to document and analyze collaborative interactions.

This book represents the emerging efforts of a growing international network of researchers and practitioners to promote the development and uptake of evidence-based pedagogies in higher education, at something a level approaching large-scale impact. By offering a communication venue that attracts and enhances much needed partnerships among practitioners and researchers in pedagogical innovation, we aim to change the conversation and focus on how we work and learn together – i.e. extending the implementation and knowledge of co–design methods. In this first edition of our Research Topic on Active Learning, we highlight two (of the three) types of publications we wish to promote. First are studies aimed at understanding the pedagogical designs developed by practitioners in their own practices by bringing to bear the theoretical lenses developed and tested in the education research community. These types of studies constitute the "practice pull" that we see as a necessary counterbalance to "knowledge push" in a more productive pedagogical innovation ecosystem based on research-practitioner partnerships. Second are studies empirically examining the implementations of evidence-based designs in naturalistic settings and under naturalistic conditions. Interestingly, the teams conducting these studies are already exemplars of partnerships between researchers and practitioners who are uniquely positioned as “in-betweens” straddling the two worlds. As a result, these publications represent both the rigours of research and the pragmatism of reflective practice. In forthcoming editions, we will add to this collection a third type of publication -- design profiles. These will present practitioner-developed pedagogical designs at varying levels of abstraction to be held to scrutiny amongst practitioners, instructional designers and researchers alike. We hope by bringing these types of studies together in an open access format that we may contribute to the development of new forms of practitioner-researcher interactions that promote co-design in pedagogical innovation.

Participatory Design is a field of research and design that actively engages stakeholders in the processes of design in order to better conceptualize and create tools, environments, and systems that serve those stakeholders. In Participatory Design for Learning: Perspectives from Practice and Research, contributors from across the fields of the learning sciences and design articulate an inclusive practice and begin the process of shaping guidelines for such collaborative involvement. Drawing from a wide range of examples and perspectives, this book explores how participatory design can contribute to the development, implementation, and sustainability of learning innovations. Written for scholars and students, Participatory Design for Learning: Perspectives from Practice and Research develops and draws attention to practices that are relevant to the facilitation of effective educational environments and learning technologies.

This state-of-the-art resource brings together the most innovative scholars and thinkers in the field of testing to capture the changing conceptual, methodological, and applied landscape of cognitively-grounded educational assessments. Offers a methodologically-rigorous review of cognitive and learning sciences models for testing purposes, as well as the latest statistical and technological know-how for designing, scoring, and interpreting results Written by an international team of contributors at the cutting-edge of cognitive psychology and educational measurement under the editorship of a research director at the Educational Testing Service and an esteemed professor of educational psychology at the University of Alberta as well as supported by an expert advisory board Covers conceptual frameworks, modern methodologies, and applied topics, in a style and at a level of technical detail that will appeal to a wide range of readers from both applied and scientific backgrounds Considers emerging topics in cognitively-grounded assessment, including applications of emerging socio-cognitive models, cognitive models for human and automated scoring, and various innovative virtual performance assessments

Scientific concepts are abstract human constructions, invented to make sense of complex natural phenomena. Scientists use specialised languages, diagrams, and mathematical representations of various kinds to convey these abstract constructions. This book uses the perspectives of embodied cognition and conceptual metaphor to explore how learners make sense of these concepts. That is, it is assumed that human cognition – including scientific cognition – is grounded in the body and in the material and social contexts in which it is embedded. Understanding abstract concepts is therefore grounded, via metaphor, in knowledge derived from sensory and motor experiences arising from interaction with the physical world. The volume consists of nine chapters that examine a number of intertwined themes: how systematic metaphorical mappings are implicit in scientific language, diagrams, mathematical representations, and the gestures used by scientists; how scientific modelling relies fundamentally on metaphor and can be seen as a form of narrative cognition; how implicit metaphors can be the sources of learner misconceptions; how conceptual change and the acquisition of scientific expertise involve learning to coordinate the use of multiple implicit metaphors; and how effective instruction can build on recognising the embodied nature of scientific cognition and the role of metaphor in scientific thought and learning. The volume also includes three extended commentaries from leading researchers in the fields of cognitive linguistics, the learning sciences, and science education, in which they reflect on theoretical, methodological and pedagogical issues raised in the book. This book was originally published as a special issue of the International Journal of Science Education.