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Martín Gutiérrez, Sergio

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0000-0002-4118-0234
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Martín Gutiérrez
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Sergio
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20202
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Autor: Castro Gil, Manuel Alonso ×

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Mostrando 1 - 2 de 2
  • Miniatura
    Publicación
    Reviewing and analyzing peer review Inter-Rater Reliability in a MOOC platform
    (Elsevier, 2020-09) García Loro, Félix; Martín Gutiérrez, Sergio; Ruipérez Valiente, José A.; Sancristobal, Elio; Castro Gil, Manuel Alonso
    Peer assessment activities might be one of the few personalized assessment alternatives to the implementation of auto-graded activities at scale in Massive Open Online Course (MOOC) environments. However, teacher's motivation to implement peer assessment activities in their courses might go beyond the most straightforward goal (i.e., assessment), as peer assessment activities also have other side benefits, such as showing evidence and enhancing the critical thinking, comprehension or writing capabilities of students. However, one of the main drawbacks of implementing peer review activities, especially when the scoring is meant to be used as part of the summative assessment, is that it adds a high degree of uncertainty to the grades. Motivated by this issue, this paper analyses the reliability of all the peer assessment activities performed as part of the MOOC platform of the Spanish University for Distance Education (UNED) UNED-COMA. The following study has analyzed 63 peer assessment activities from the different courses in the platform, and includes a total of 27,745 validated tasks and 93,334 peer reviews. Based on the Krippendorff's alpha statistic, which measures the agreement reached between the reviewers, the results obtained clearly point out the low reliability, and therefore, the low validity of this dataset of peer reviews. We did not find that factors such as the topic of the course, number of raters or number of criteria to be evaluated had a significant effect on reliability. We compare our results with other studies, discuss about the potential implications of this low reliability for summative assessment, and provide some recommendations to maximize the benefit of implementing peer activities in online courses.
  • Miniatura
    Publicación
    Overview of embedded systems to build reliable and safe ADAS and AD systems
    (IEEE (Institute of Electrical and Electronic Engineers), 2020-02) Belmonte, Francisco J; Martín Gutiérrez, Sergio; Sancristobal, Elio; Ruipérez Valiente, José A.; Castro Gil, Manuel Alonso
    Automotive industry is a key sector in developed countries, taking advantage from Electronic and Semiconductor industries, for which this work is focused on, including an overview of embedded systems and related technologies for Advanced Driver Assistance Systems (ADAS) development, end user applications and their implementation (SoCs, Application Processors-APs, MCUs, software and boards), manufacturers solutions, architectures, trends and other aspects (like methodologies) to improve functional safety, reliability and performances. The current status to permit the transition from ADAS to Autonomous Driving (AD) systems and Self-Driving Cars (SDC) is also explored.