JuxtaLearn D3.2 Performance Framework

This deliverable, D3.2, for Work Package 3 incorporating the pedagogy from WP2 and orchestration factors mapped in D3.1 reviews aspects of performance in the context of participative video making. It reviews literature on curiosity and engagement characteristics of interaction mechanisms for public displays and anticipates requirements for social network analysis of relevant public videos from WP6 task 6.3. Thus, to support JuxtaLearn performance it proposes a reflective performance framework that encompasses the material environment and objects required, the participants, and the knowledge needed

Creative communities:shaping process through performance and play

This paper studies the use of play as a method to unlock creativity and innovation within a community of practice (a group of individuals who share a common interest and who see value in interaction to enhance their understanding). An analysis of communities of practice and the value of play informs evaluation of two case studies exploring the development of communities of practice, one within the discipline of videogames and one which bridges performing arts and videogames. The case studies provide qualitative data from which the potential of play, as a method to inspire creativity and support the development of a potential community of practice, is recognised. Establishing trust, disruption of process through play and reflection are key steps proposed in a ‘context provider’s framework’ for individuals or organisations to utilise in the design of activities to support creative process and innovation within a potential community of practice

C2Learn Learning Design for CER: C2Learn project deliverable no. D2.2.2

Deliverable 2.2.2 is the second of the two public versions of the document; the first was delivered in Month 9 and this one in Month 18 of the three-year project. Similarly to D2.2.1, and D2.1.1 Interim, this document explicates the key concepts and principles relating to C2 Learn’s Learning Design. Developed by the OU team working closely with feedback from other consortium members, it sets out the over-arching theoretical frame of the project which encompasses Creative Emotional Reasoning (Deliverable 2.1.2) and its practical application in relation to the project's learning approach. Deliverable 2.2.2 is structured in three parts. The first considers the overall goals of the C2Learn gameful design encompassing a 'playful' digital gaming and social networking environment or "Co-creativity space" (C2Space). The C2Space exemplifies students' and teachers 'playful' experiences or what they do: - free exploration of ideas, concepts, and 'shared' knowledge - opportunities to engage in creative problem-finding and problem-solving - opportunities to be assisted by the system (Creativity Assistants) The second part addresses what the C2Space looks like in practice utilising the affordances of currently available examples of game prototypes and digital tools. The third part documents what will occur next in how the consortium is progressing in designing the C2Space encompassing a digital gaming and social networking environment, with the learning goals in mind. Inevitably as the parts of C2Learn are developing in planned parallel development, the Learning Design will in reality remain a living document throughout the second half of the project, with terminology and processes being refined. This official version though sets down markers as to our expectation of the direction of such evolution

Knowledge convergence in computer-supported collaborative learning

This study investigates how two types of graphical representation tools influence the way in which learners use knowledge resources in two different collaboration conditions. In addition, the study explores the extent to which learners share knowledge with respect to individual outcomes under these different conditions. The study also analyzes the relationship between the use of knowledge resources and different types of knowledge. The type of external representation (content-specific vs. content-independent) and the collaboration condition (videoconferencing vs. face-to-face) were varied. Sixty-four (64) university students participated in the study. Results showed that learning partners converged strongly with respect to their use of resources during the collaboration process. Convergence with respect to outcomes was rather low, but relatively higher for application-oriented knowledge than for factual knowledge. With content-specific external representation, learners used more appropriate knowledge resources without sharing more knowledge after collaboration. Learners in the computer-mediated collaboration used a wider range of resources. Moreover, in exploratory qualitative and quantitative analyses, the study found evidence for a relation between aspects of the collaborative process and knowledge convergence

Internet of robotic things : converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms

The Internet of Things (IoT) concept is evolving rapidly and influencing newdevelopments in various application domains, such as the Internet of MobileThings (IoMT), Autonomous Internet of Things (A-IoT), Autonomous Systemof Things (ASoT), Internet of Autonomous Things (IoAT), Internetof Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc.that are progressing/advancing by using IoT technology. The IoT influencerepresents new development and deployment challenges in different areassuch as seamless platform integration, context based cognitive network integration,new mobile sensor/actuator network paradigms, things identification(addressing, naming in IoT) and dynamic things discoverability and manyothers. The IoRT represents new convergence challenges and their need to be addressed, in one side the programmability and the communication ofmultiple heterogeneous mobile/autonomous/robotic things for cooperating,their coordination, configuration, exchange of information, security, safetyand protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrencyrequire new ideas for integrating the intelligent “devices”, collaborativerobots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing,self-repair of resources, changing resource state, (re-) configurationand context based IoT systems for service implementation and integrationwith IoT network service composition are of paramount importance whennew “cognitive devices” are becoming active participants in IoT applications.This chapter aims to be an overview of the IoRT concept, technologies,architectures and applications and to provide a comprehensive coverage offuture challenges, developments and applications