Music Learning with Massive Open Online Courses

Steels, Luc et al.-- Editors: Luc SteelsMassive Open Online Courses, known as MOOCs, have arisen as the logical consequence of marrying long-distance education with the web and social media. MOOCs were confidently predicted by advanced thinkers decades ago. They are undoubtedly here to stay, and provide a valuable resource for learners and teachers alike. This book focuses on music as a domain of knowledge, and has three objectives: to introduce the phenomenon of MOOCs; to present ongoing research into making MOOCs more effective and better adapted to the needs of teachers and learners; and finally to present the first steps towards 'social MOOCs’, which support the creation of learning communities in which interactions between learners go beyond correcting each other's assignments. Social MOOCs try to mimic settings for humanistic learning, such as workshops, small choirs, or groups participating in a Hackathon, in which students aided by somebody acting as a tutor learn by solving problems and helping each other. The papers in this book all discuss steps towards social MOOCs; their foundational pedagogy, platforms to create learning communities, methods for assessment and social feedback and concrete experiments. These papers are organized into five sections: background; the role of feedback; platforms for learning communities; experiences with social MOOCs; and looking backwards and looking forward. Technology is not a panacea for the enormous challenges facing today's educators and learners, but this book will be of interest to all those striving to find more effective and humane learning opportunities for a larger group of students.Funded by the European Commission's OpenAIRE2020 project.Peer reviewe

Collaborative Peer Assessment using PeerLearn

In this chapter we introduce the PeerLearn methodology and its associated tools. We base the design of pedagogical workflows for students on the definition of rubrics (using PeerAssess) as the starting element that drives the creation of lesson plans (using LessonEditor). These plans run over our web platform (Peer-Flow). Students can evaluate one another following given rubrics and teachers can accept (or not) marks produced by a collaborative assessment tool (COMAS). Experimental results show that PeerLearn provide students with a highly satisfying new pedagogical experience and increased learning outcomes. © 2015 The authors and IOS Press.Peer reviewe

An Experience-Based BDI Logic: Motivating Shared Experiences and Intentionality

This paper proposes the notion of experience to help situate agents in their environment, providing a link on how the continually evolving environment impacts the evolution of an agent's BDI model and vice versa. Then, using the notion of shared experience as a primitive construct, we develop a novel formal model of shared intention which we believe more adequately describes social behaviour than traditional BDI logics that focus on individual agents. Whilst many philosophers have argued that collective intentionality cannot always be equated to the collection of the individual agents' intentions, there has been no AI model that addresses this issue. We believe this is the first attempt to develop an explicit notion of shared experience from an AI perspective. © 2013 IEEE.This work is supported by: the ACE ERA-Net project; the CBIT project (funded by the Spanish Ministry of Science & Innovation TIN2010-16306); and the Agreement Technologies project (CONSOLIDER CSD 2007-0022, INGENIO 2010)Peer Reviewe

An Experience-Based BDI Logic: Motivating Shared Experiences and Intentionality

International audienceThis paper proposes the notion of experience to help situate agents in their environment, providing a link on how the continually evolving environment impacts the evolution of an agent's BDI model and vice versa. Then, using the notion of shared experience as a primitive construct, we develop a novel formal model of shared intention which we believe more adequately describes social behaviour than traditional BDI logics that focus on individual agents. Whilst many philosophers have argued that collective intentionality cannot always be equated to the collection of the individual agents' intentions, there has been no AI model that addresses this issue. We believe this is the first attempt to develop an explicit notion of shared experience from an AI perspective

u-Help: supporting helpful communities with information technology

When people need help with day-to-day tasks they turn to family, friends or neighbours to help them out. Finding someone to help out can be a stressful waste of time. Despite an increasingly networked world, technology falls short in supporting such daily irritations. u-Help provides a platform for building a community of helpful people and supports them in finding help for day-to-day tasks. It relies on a trio of techniques that allow a requester and volunteer to find one another easily, and build up a community around such provision of services. First, we use an ontology to distinguish between the various tasks that u-Help allows people to provide. Second, a computational trust model is used to aggregate feedback from community members and allows people to discover who are good or bad at performing the various tasks. Last, a flooding algorithm, similar to the popular Gnutella algorithm, quickly disseminates requests for help through the community. This paper describes these three techniques in detail. This work is implemented as an iPhone application that we also describe in this paper.This work is supported by the Generalitat de Catalunya grant 2009-SGR-1434, the CBIT project (TIN2010-16306), the Agreement Technologies project (CONSOLIDER CSD2007-0022, INGENIO 2010), and the ACE ERA-Net project.Peer Reviewe

Multiuser Museum Interactives for Shared Cultural Experiences: an Agent-based Approach

Multiuser museum interactives are computer systems installed in museums or galleries which allow several visitors to interact together with digital representations of artefacts and information from the museum's collection. WeCurate is such a system, providing a multiuser curation workflow where the aim is for the users to synchronously view and discuss a selection of images, finally choosing a subset of these images that the group would like to add to their group collection. The system presents two main problems: workflow control and group decision making. An Electronic Institution (EI) is used to model the workflow into scenes, where users engage in specific activities in specific scenes. A multiagent system is used to support group decision making, representing the actions of the users within the EI, where the agents advocate and support the desires of their users e.g. aggregating opinions, proposing interactions and resolutions between disagreeing group members and choosing images for discussion

WeCurate: Designing for synchronised browsing and social negotiation

WeCurate is a shared image browser for collaboratively curating a virtual exhibition from a cultural image archive. This paper is concerned with the evaluation and iteration of a prototype UI (User Interface) design to enable this community image browsing. In WeCurate, several remote users work together with autonomic agents to browse the archive and to select, through negotiation and voting, a set of images which are of the greatest interest to the group. The UI allows users to synchronize viewing media, assists navigating the cultural institutions extensive database and users negotiations about which images should be added to the gro

Engineering multiuser museum interactives for shared cultural experiences

Multiuser museum interactives are computer systems installed in museums or galleries which allow several visitors to interact together with digital representations of artefacts and information from the museum׳s collection. In this paper, we describe WeCurate, a socio-technical system that supports co-browsing across multiple devices and enables groups of users to collaboratively curate a collection of images, through negotiation, collective decision making and voting. The engineering of such a system is challenging since it requires to address several problems such as: distributed workflow control, collective decision making and multiuser synchronous interactions. The system uses a peer-to-peer Electronic Institution (EI) to manage and execute a distributed curation workflow and models community interactions into scenes, where users engage in different social activities. Social interactions are enacted by intelligent agents that interface the users participating in the curation workflow with the EI infrastructure. The multiagent system supports collective decision making, representing the actions of the users within the EI, where the agents advocate and support the desires of their users e.g. aggregating opinions for deciding which images are interesting enough to be discussed, and proposing interactions and resolutions between disagreeing group members. Throughout the paper, we describe the enabling technologies of WeCurate, the peer-to-peer EI infrastructure, the agent collective decision making capabilities and the multi-modal interface. We present a system evaluation based on data collected from cultural exhibitions in which WeCurate was used as supporting multiuser interactive

Crop Updates 2005 - Katanning

This session covers twenty five papers from different authors KEYNOTE How Farmers Can Work Together for a More Sustainable and Profitable Business, Brian McAlpine Farmer, Nuffield Scholar GENERAL 2005 Seasonal Outlook, David Stephens and Nicola Telcik, Department of Agriculture Essentials for cereal leaf disease management, K. Jayasena, R. Loughman, G. Thomas, C. Beard, and B. Paynter, Department of Agriculture Benefits to the grower of grain licensing, Colin Mann, Grain Licensing Authority SOIL & NUTRIENTS The effect of higher nitrogen fertiliser prices on rotation and fertiliser strategies in cropping systems, Ross Kingwell, Department of Agriculture Effect of stubble burning and seasonality on microbial processes and nutrient cycling, Francis Hoyle, University of Western Australia Soil Biology and Crop Production in Western Australian Farming Systems, D.V. Murphy, N. Milton, M. Osman, F.C. Hoyle, L.K Abbott, W.R. Cookson and S. Darmawanto, University of Western Australia Nutrient Management to get optimal production, Bill Bowden, Department of Agriculture OTHER CROPS Which malting barley variety and why? Blakely Paynter, Department of Agriculture KASPA AND OTHER NEW PULSE VARIETIES, 1. New Pulse varieties and where they fit in, K. Regan, P. White, Department of Agriculture & CLIMA, K. Siddique, CLIMA, K. Adhikari, Department of Agriculture & CLIMA, M. Harries, CLIMA Kaspa in the WA Grain Belt 2003-2004, Ian Pritchard, Department of Agriculture New annual pastures for Mediterranean farming systems, Angelo Loi, Phil Nichols, Clinton Revell & David Ferris, Department of Agriculture Challenging herbicide resistant ryegrass, Bill Roy, Agricultural Consulting & Research Services Pty.Ltd WEED MANAGEMENT Ingest, incinerate or invert? The pro’s and con’s of 3 weed seed removal tactics, Sally Peltzer1, Dave Minkey1 and Michael Walsh2 Department of Agriculture 1 and Western Australian Herbicide Resistance lnitiative2 A good use guide for pre-emergent herbicides, Alexandra Douglas, Department of Agriculture OTHER USEFUL INFORMATION 17.Growing season outlook, Meredith Fairbanks, Ian Foster, Geraldine Pasqual, David Stephens, Nicola Telcik, David Tennant, Department of Agriculture 18. Status Of Department Of Agriculture Western Australia Crop Varieties 19. Seed Licensee Details 20. Gene technology for growers. What is it? How does it Work? Belinda Barr, Australian Centre for Plant Functional Genomics, Dr Heather Bray, Molecular Plant Breeding Cooperative Research Centre. 21. Agronomic package for EGA Eagle Rock, Steve Penny, Department of Agriculture 22. Nutrient timing and requirements for increased crop yields in the high rainfall cropping zone, Narelle Hill, Ron McTaggart, Dr. Wal Anderson and Ray Tugwell Department of Agriculture 23. Insect contamination of cereal grain at harvest, Svetlana Micic and Phil Michael, Department of Agriculture 24. Crop leftovers: what’s in stubble for sheep? Roy Butler and Keith Croker, Department of Agriculture 25. Mandelup – Narrow-leafed lupi