42,353 research outputs found

    Teaching Experiences with E-Learning Network Infrastructures

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    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

    Living labs in architecture : open innovation and co-creation towards a more sustainable architecture and lifestyle

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    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

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    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

    Technology-enhanced learning: a new digital divide?

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    Entrepreneurial university ecosystems and graduates' career patterns: do entrepreneurship education programmes and university business incubators matter?

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    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

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    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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