277,164 research outputs found

    The Impact of Cultural Familiarity on Students’ Social Media Usage in Higher Education

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    Using social media (SM) in Higher education (HE) becomes unavoidable in the new teaching and learning pedagogy. The current generation of students creates their groups on SM for collaboration. However, SM can be a primary source of learning distraction due to its nature, which does not support structured learning. Hence, derived from the literature, this study proposes three learning customised system features, to be implemented on SM when used in Higher Education HE. Nevertheless, some psychological factors appear to have a stronger impact on students’ adoption of SM in learning than the proposed features. A Quantitative survey was conducted at a university in Uzbekistan to collect 52 undergraduate students’ perception of proposed SM learning customised features in Moodle. These features aim to provide localised, personalised, and privacy control self-management environment for collaboration in Moodle. These features could be significant in predicting students’ engagement with SM in HE. The data analysis showed a majority of positive feedback towards the proposed learning customised SM. However, the surveyed students’ engagement with these features was observed as minimal. The course leader initiated a semi-structured interview to investigate the reason. Although the students confirmed their acceptance of the learning customised features, their preferences to alternate SM, which is Telegram overridden their usage of the proposed learning customized SM, which is Twitter. The students avoided the Moodle integrated Twitter (which provided highly accepted features) and chose to use the Telegram as an external collaboration platform driven by their familiarity and social preferences with the Telegram since it is the popular SM in Uzbekistan. This study is part of an ongoing PhD research which involves deeper frame of learners’ cognitive usage of the learning management system. However, this paper exclusively discusses the cultural familiarity impact of student’s adoption of SM in HE

    Methodological Guide to Co-design Climate-smart Options with Family Farmers

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    Climate-smart agriculture (CSA) seeks to improve productivity for the achievement of food security (pillar 1: Productivity), to develop a better ability to adapt (pillar 2: Adaptation), and to limit greenhouse gas emissions (pillar 3: Mitigation). Technical and organizational innovations are needed to find synergies among those three pillars. Innovation (its creation and its operation) is a social phenomenon. Many studies worldwide have shown that promoting a sustainable change and innovation within organizations has to be analyzed and implemented with stakeholders. Thus, the ability of local actors to tackle climate change and mitigate its effects will depend on their ability to innovate and mobilize material and non-material resources, to articulate links among national policies, not only between themselves, but also undertaking actions at the local level. To support stakeholders in the development of responses to this challenge, we propose the development of open innovation platforms, in which all local actors may participate. These platforms are virtual, physical, or physico-virtual spaces to learn, jointly conceive, and transform different situations; they are generated by individuals with different origins, different backgrounds and interests (Pali and Swaans, 2013).The purpose of this manual is to provide a seven-step methodology to allow family farmers to co-build and adopt CSA options to tackle climate change in an open innovation platfor

    Design Criteria to Architect Continuous Experimentation for Self-Driving Vehicles

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    The software powering today's vehicles surpasses mechatronics as the dominating engineering challenge due to its fast evolving and innovative nature. In addition, the software and system architecture for upcoming vehicles with automated driving functionality is already processing ~750MB/s - corresponding to over 180 simultaneous 4K-video streams from popular video-on-demand services. Hence, self-driving cars will run so much software to resemble "small data centers on wheels" rather than just transportation vehicles. Continuous Integration, Deployment, and Experimentation have been successfully adopted for software-only products as enabling methodology for feedback-based software development. For example, a popular search engine conducts ~250 experiments each day to improve the software based on its users' behavior. This work investigates design criteria for the software architecture and the corresponding software development and deployment process for complex cyber-physical systems, with the goal of enabling Continuous Experimentation as a way to achieve continuous software evolution. Our research involved reviewing related literature on the topic to extract relevant design requirements. The study is concluded by describing the software development and deployment process and software architecture adopted by our self-driving vehicle laboratory, both based on the extracted criteria.Comment: Copyright 2017 IEEE. Paper submitted and accepted at the 2017 IEEE International Conference on Software Architecture. 8 pages, 2 figures. Published in IEEE Xplore Digital Library, URL: http://ieeexplore.ieee.org/abstract/document/7930218

    EFL pedagogy students' self-directed learning: use of edmodo and e-portfolio

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    Tesis (PedagogĂ­a en InglĂ©s)This study aims at exploring how Edmodo and E-Portfolio affect EFL Pedagogy Students’ Self-Directed Learning (SDL). The theory is framed within the concepts of Self-Directed Learning and online platforms. This mixed type of research (qualitative and quantitative) considered 3 different instruments to collect data: questionnaires (PRO-SDLS), interviews, and a focus group. The participants were 26 freshmen in an English Pedagogy program. From the data obtained and analyzed, the study showed that there is a statistically significant difference in the participants’ SDL between the pre and posttest. At the same time, students perceived that E-Portfolio is more useful than Edmodo in their learning process.Este estudio tiene como objetivo explorar cĂłmo Edmodo e E-Portfolio afectan en el aprendizaje autodirigido en estudiantes que aspiran a ser profesores de EFL. La teorĂ­a se enmarca en los conceptos de aprendizaje autodirigido y plataformas en lĂ­nea. Este tipo de investigaciĂłn mixta (cualitativa y cuantitativa) considerĂł tres instrumentos diferentes para recopilar datos: cuestionarios (PRO-SDLS), entrevistas y un grupo focal. Los participantes fueron 26 estudiantes de primer año en un programa de PedagogĂ­a en InglĂ©s. A partir de los datos obtenidos y analizados, el estudio mostrĂł que existe una diferencia estadĂ­sticamente significativa en el SDL (siglas en InglĂ©s del Aprendizaje Autodirigido) de los participantes entre el primer cuestionario y el segundo. Al mismo tiempo, los estudiantes percibieron que E-Portfolio es mĂĄs Ăștil que Edmodo en su proceso de aprendizaje

    Adopting building information modeling (BIM) as collaboration platform in the design industry

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    This paper discusses the preliminary findings of an ongoing research project aimed at developing a technological, operational and strategic analysis of adopting BIM in AEC/FM (Architecture-Engineering-Construction/Facility Management) industry as a collaboration tool. Outcomes of the project will provide specifications and guidelines as well as establish industry standards for implementing BIM in practice. This research primarily focuses on BIM model servers as a collaboration platform, and hence the guidelines are aimed at enhancing collaboration capabilities. This paper reports on the findings from: (1) a critical review of latest BIM literature and commercial applications, and (2) workshops with focus groups on changing work-practice, role of technology, current perception and expectations of BIM. Layout for case studies being undertaken is presented. These findings provide a base to develop comprehensive software specifications and national guidelines for BIM with particular emphasis on BIM model servers as collaboration platforms

    A new model-free design for vehicle control and its validation through an advanced simulation platform

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    A new model-free setting and the corresponding "intelligent" P and PD controllers are employed for the longitudinal and lateral motions of a vehicle. This new approach has been developed and used in order to ensure simultaneously a best profile tracking for the longitudinal and lateral behaviors. The longitudinal speed and the derivative of the lateral deviation, on one hand, the driving/braking torque and the steering angle, on the other hand, are respectively the output and the input variables. Let us emphasize that a "good" mathematical modeling, which is quite difficult, if not impossible to obtain, is not needed for such a design. An important part of this publication is focused on the presentation of simulation results with actual and virtual data. The actual data, used in Matlab as reference trajectories, have been obtained from a properly instrumented car (Peugeot 406). Other virtual sets of data have been generated through the interconnected platform SiVIC/RTMaps. It is a dedicated virtual simulation platform for prototyping and validation of advanced driving assistance systems. Keywords- Longitudinal and lateral vehicle control, model-free control, intelligent P controller (i-P controller), algebraic estimation, ADAS (Advanced Driving Assistance Systems).Comment: in 14th European Control Conference, Jul 2015, Linz, Austria. 201

    A mechatronic approach to supernormal auditory localisation

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    Remote audio perception is a fundamental requirement for telepresence and teleoperation in applications that range from work in hostile environments to security and entertainment. The following paper presents the use of a mechatronic system to test the efficacy of audio for telepresence. It describes work to determine whether the use of supernormal inter-aural distance is a valid means of approaching an enhanced method of hearing for telepresence. The particular audio variable investigated is the azimuth angle of error and the construction of a dedicated mechatronic test rig is reported and the results obtained. The paper concludes by observing that the combination of the mechatronic system and supernormal audition does enhance the ability to localise sound sources and that further work in this area is justified
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