617,884 research outputs found

    Strategies for promoting autonomous reading motivation: a multiple case study research in primary education

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    It is important to reveal strategies which foster students’ reading motivation in order to break through the declining trend in reading motivation throughout children’s educational careers. Consequently, the present study advances an underexposed field in reading motivation research by studying and identifying the strategies of teachers excellent in promoting fifth-grade students’ volitional or autonomous reading motivation through multiple case study analysis. Data on these excellent teachers were gathered from multiple sources (interviews with teachers, SEN coordinators, and school leaders; classroom observations; teacher and student questionnaires) and analysed. The results point to the teaching dimensions of autonomy support, structure, and involvement – as indicated by self-determination theory – as well as to reading aloud as critical strategies to promote students’ autonomous reading motivation in the classroom. A school culture supporting students’ and teachers’ interest in reading is also an essential part of reading promotion. The theoretical and practical significance of the study is discussed

    Analysis of Disengagements in Semi-Autonomous Vehicles: Drivers’ Takeover Performance and Operational Implications

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    This report analyzes the reactions of human drivers placed in simulated Autonomous Technology disengagement scenarios. The study was executed in a human-in-the-loop setting, within a high-fidelity integrated car simulator capable of handling both manual and autonomous driving. A population of 40 individuals was tested, with metrics for control takeover quantification given by: i) response times (considering inputs of steering, throttle, and braking); ii) vehicle drift from the lane centerline after takeover as well as overall (integral) drift over an S-turn curve compared to a baseline obtained in manual driving; and iii) accuracy metrics to quantify human factors associated with the simulation experiment. Independent variables considered for the study were the age of the driver, the speed at the time of disengagement, and the time at which the disengagement occurred (i.e., how long automation was engaged for). The study shows that changes in the vehicle speed significantly affect all the variables investigated, pointing to the importance of setting up thresholds for maximum operational speed of vehicles driven in autonomous mode when the human driver serves as back-up. The results shows that the establishment of an operational threshold could reduce the maximum drift and lead to better control during takeover, perhaps warranting a lower speed limit than conventional vehicles. With regards to the age variable, neither the response times analysis nor the drift analysis provide support for any claim to limit the age of drivers of semi-autonomous vehicles

    Autonomous Driving Platform Performance Analysis

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    Through data analysis of various plots and figures it will be possible to determine the best control parameters to get the best performance out of the autonomous driving platform. This data, presented in this thesis, will show quantitatively what the best control strategies are through comparison of different versions of the platform

    Benchmarking of a software stack for autonomous racing against a professional human race driver

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    The way to full autonomy of public road vehicles requires the step-by-step replacement of the human driver, with the ultimate goal of replacing the driver completely. Eventually, the driving software has to be able to handle all situations that occur on its own, even emergency situations. These particular situations require extreme combined braking and steering actions at the limits of handling to avoid an accident or to diminish its consequences. An average human driver is not trained to handle such extreme and rarely occurring situations and therefore often fails to do so. However, professional race drivers are trained to drive a vehicle utilizing the maximum amount of possible tire forces. These abilities are of high interest for the development of autonomous driving software. Here, we compare a professional race driver and our software stack developed for autonomous racing with data analysis techniques established in motorsports. The goal of this research is to derive indications for further improvement of the performance of our software and to identify areas where it still fails to meet the performance level of the human race driver. Our results are used to extend our software's capabilities and also to incorporate our findings into the research and development of public road autonomous vehicles.Comment: Accepted at 2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER

    The foundations of conscientious objection: against freedom and autonomy

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    According to the common view, conscientious objection is grounded in autonomy or in ‘freedom of conscience’ and is tolerated out of respect for the objector's autonomy. Emphasising freedom of conscience or autonomy as a central concept within the issue of conscientious objection implies that the conscientious objector should have an independent choice among alternative beliefs, positions or values. In this paper it is argued that: (a) it is not true that the typical conscientious objector has such a choice when they decide to act upon their conscience and (b) it is not true that the typical conscientious objector exercises autonomy when developing or acquiring their conscience. Therefore, with regard to tolerating conscientious objection, we should apply the concept of autonomy with caution, as tolerating conscientious objection does not reflect respect for the conscientious objector’s right to choose but rather acknowledges their lack of real ability to choose their conscience and to refrain from acting upon their conscience. This has both normative and analytical implications for the treatment of conscientious objectors
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