42,353 research outputs found
Teaching Experiences with E-Learning Network Infrastructures
Abstract. Computer-based learning environments provide the opportunity to promote students interactivity and meet their individual needs. Because of the advantages of such approach, the computer-based teaching is becoming very popular in universities and in other educational institutes. However, very often the solutions proposed to support the educational activities are not inter-operable and lack of a suitable network infrastructure. In this paper, we report the results of several teaching experiences gathered from more than one year of activities in various research projects. Our first step has been the development of a platform able to fully integrate the new powerful teaching tools, such as the virtual blackboard, and network transport services. From these experiences, we realized that the learning quality would be improved if students interactively participate to the learning process. Then, in a later experimentation, we proposed and validated a model of e-classroom, which would guarantee the mobility to students and preserve their identity. We show that this kind of mobile-learning is only possible whereas an advanced networking technology, such as Mobile IPv6, is enabled
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What did the Romans ever do for us? ‘Next generation’ networks and hybrid learning resources
Networked learning is fundamentally concerned with the use of information and communication technologies (ICT) to link people to people and resources, to support the process of learning. This paper explores some current and forthcoming changes in ICT and some potential implications of these developments for networked learning. Whilst we aim to avoid taking a technologically determinist stance, we explore the potential for future practice and how some educational and pedagogic practices are evolving to exploit and shape the digital environment. We argue that we can change both the ways in which connections between people (learners and other learners; learners and tutors) are made and the nature of the resources that learning communities (particularly distributed communities) can engage with. In doing this we draw on two strands of work. Firstly, we draw on the ‘IBZL Education’ a UK Open University initiative to develop new scholarship in the context of STEM (Science, Technology, Engineering and Mathematics) through which educators are encouraged to think about technological change in the next five to ten years and ways in which we can intervene and shape these developments. We use problem-based learning as an example of a learning experience that can be difficult to implement in a networked learning environment. IBZL identified two broad strands of significant technological development. 'Superfast' broadband networks that are capable of supporting novel applications are being rolled in the UK (and elsewhere). Also, boundaries between the real and virtual worlds are becoming blurred as in the ‘internet of things’ where, for example, RFID tags enable information about the real world to be brought into the virtual one. We use the term ‘artefact’ to describe designed components, whether entirely digital, such as a computer forum, or material, such as a tablet PC. Networked ‘hybrid’ technologies of virtual and material components have may great potential for use in education.
Secondly, we illustrate how these changes may be beginning to happen in distance education using the example of TU100 My Digital Life, a new introductory Open University. . TU100 Students use an electronics board in their own homes to work on a programming problem in collaboration other students through a tutor-led tutorial in a web conferencing system. We also note some of the evident complexity that establishing such resources as part of wider infrastructures of networked learning would be likely to involve
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Networked learning environments
This chapter introduces the idea of networked learning environments and argues that these environments provide the totality of surrounding conditions for learning in digital networks. It provides illustrative vignettes of the ways that students appropriate networked environments for learning. The chapter then examines the notion of networked learning environments in relation to the idea of infrastructure and infrastructures for learning and sets out some issues arising from this perspective. The chapter suggests that students and teachers selectively constitute their own contexts and that design can only have an indirect effect on learning. The chapter goes on to argue that design needs to be located at the meso level of the institution and that a solution to the problem of indirect design lies in refocusing design at the meso level and on the design of infrastructures for learning
Living labs in architecture : open innovation and co-creation towards a more sustainable architecture and lifestyle
Living Labs in Architecture can be tools towards a holistic knowledge generation and transmission, using real built environments for user-centred research and innovation as well as collaborative learning at a university campus and beyond. The present article describes existing living lab concepts and definitions, focusing on co-creation processes, methodologies for open innovation, and participatory learning approaches, with the LOW3 solar house living lab at UPC-Barcelona Tech as case study. Outcomes and lessons learned can serve as example for similar initiatives, establishing Architecture Living Labs as open, collaborative learning environments, innovation arenas, and places of social interchange, empowering communities in their learning and progress towards a more sustainable lifestyle.Postprint (published version
Transferring Collective Knowledge: Collective and Fragmented Teaching and Learning in the Chinese Auto Industry
Collective knowledge, consisting of tacit group-embedded knowledge, is a key element of organizational capabilities. This study undertakes a multiple-case study of the transfer of collective knowledge, guided by a set of tentative constructs and propositions derived from organizational learning theory. By focusing on the group-embeddedness dimension of collective knowledge, we direct our attention to the source and recipient communities. We identify two sets of strategic choices concerning the transfer of collective knowledge: collective vs. fragmented teaching, and collective vs. fragmented learning. The empirical context of this study is international R&D capability transfer in the Chinese auto industry. From the case evidence, we find the expected benefits of collective teaching and collective learning, and also discover additional benefits of these two strategies, including the creation of a bridge network communication infrastructure. The study disclosed other conditions underlying the choice of strategies of transferring collective knowledge, including transfer effort and the level of group-embeddedness of the knowledge to be taught or re-embedded. The paper provides a group-level perspective in understanding organizational capabilities, as well as a set of refined constructs and propositions concerning strategic choices of transferring collective knowledge. The study also provides a rich description of the best practices and lessons learned in transferring organizational capabilities.http://deepblue.lib.umich.edu/bitstream/2027.42/39804/3/wp420.pd
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National models for CPD: The challenges of C21st knowledge management
Teacher quality is the most critical factor in improving educational outcomes (McKinsey, 2007). This paper proposes analytical frameworks for national models for continuing professional development (CPD). It examines the unacknowledged problem of the quality and extent of the evidence base underpinning teachers’ CPD. In the 21C through the use of ICTs the research and evidence base underpinning educational practice surely could be made accessible to all teachers and all providers of initial teacher training and CPD. The evidence base available internationally appears to be patchy. Yet this is taken for granted in the literature, and is rarely if ever acknowledged in the discourse about school and system improvement. This lack of research based professional knowledge, is a particular problem for subject specialist issues and is further compounded by the fact that research published in journals is not generally designed around questions teachers want answered. In short, the knowledge that is produced and the management of it within the education sector is lacking systemic organisation and dissemination. The paper outlines opportunities which exist for low cost interlinked national and international e-infrastructures to be developed to support knowledge sharing, but such collaboration may pose an insurmountable challenge for national and international agencies
Entrepreneurial university ecosystems and graduates' career patterns: do entrepreneurship education programmes and university business incubators matter?
Purpose
This paper provides insights about how graduates' career patterns (i.e. academic entrepreneur, self-employed or paid employed) are influenced by entrepreneurial university ecosystems (i.e. incubators and entrepreneurship education programs).
Design/methodology/approach
By adopting Douglas and Shepherd's utility-maximising function, the influence of one entrepreneurial university ecosystem on graduates' career choices was tested using a sample of 11,512 graduates from the Monterrey Institute of Technology and Higher Education (ITESM) in Mexico.
Findings
Our results show the critical role of entrepreneurial universities ecosystems in facilitating employability options as academic entrepreneurship for ITESM's graduates. The study shows some insights about how graduates' risk aversion and work effort are positively influenced by the university business incubator and entrepreneurship education programs, respectively.
Practical implications
Diverse implications for stakeholders have emerged from our results. These implications are associated with potential benefits of implementing programmes oriented to engage academic entrepreneurship within Latin American universities.
Originality/value
Entrepreneurial universities provide a range of employability alternatives for their students, such as to be self-employed, academic entrepreneurs or paid employees. In this scenario, entrepreneurial universities have configured entrepreneurial ecosystems (educational programmes, business incubators and other infrastructures) to support potential entrepreneurs (students, academics, staff and alumni). Despite the relevance of the environmental conditions on individuals' occupational choices, few studies have explored the role of the entrepreneurial university ecosystems on graduates' employability. In this vein, our study contributes to some academic discussions: (1) the role of context on career choice models (Ilouga et al., 2014; Sieger and Monsen, 2015), (2) the role of incubators and entrepreneurship education on fostering academic entrepreneurship on the graduates' community (Nabi et al., 2017; Good et al., 2019; Guerrero and Urbano, 2019a) and (3) the effectiveness of the entrepreneurial university ecosystems on graduates' employability (Herrera et al., 2018; Wright et al., 2017)
Transferring Collective Knowledge: Collective and Fragmented Teaching and Learning in the Chinese Auto Industry
Collective knowledge, consisting of tacit group-embedded knowledge, is a key element of organizational capabilities. This study undertakes a multiple-case study of the transfer of collective knowledge, guided by a set of tentative constructs and propositions derived from organizational learning theory. By focusing on the group-embeddedness dimension of collective knowledge, we direct our attention to the source and recipient communities. We identify two sets of strategic choices concerning the transfer of collective knowledge: collective vs. fragmented teaching, and collective vs. fragmented learning. The empirical context of this study is international R&D capability transfer in the Chinese auto industry. From the case evidence, we find the expected benefits of collective teaching and collective learning, and also discover additional benefits of these two strategies, including the creation of a bridge network communication infrastructure. The study disclosed other conditions underlying the choice of strategies of transferring collective knowledge, including transfer effort and the level of group-embeddedness of the knowledge to be taught or re-embedded. The paper provides a group-level perspective in understanding organizational capabilities, as well as a set of refined constructs and propositions concerning strategic choices of transferring collective knowledge. The study also provides a rich description of the best practices and lessons learned in transferring organizational capabilities.knowledge transfer, collective knowledge, organizational capabilities, R&D capabilities, organizational learning, network, China
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