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Pilar Gómez‐Rey

Biographic Data

ID6950084
NAMEPilar Gómez‐Rey
GIVEN NAMESPilar
FAMILY NAMEGómez‐Rey
SIGNATUREREY P G
AFFILIATIONSUniversidad de Sevilla
ORCID0000-0002-1883-4279
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Artificial Intelligence and Digital Competencies: An Importance–Performance Analysis of Future Mathematics Teachers’ Perceptions

    Open Access•Pilar Gómez‐Rey, Salvador Angosto Sánchez et al.•ARTICLE•Education Sciences•2026

    This study examines how future mathematics teachers perceive the importance of AI-related and digital competencies and their self-reported performance in these areas. The study was conducted in a Mathematics Education course in Spain with 198 Primary Education students. Using an Importance–Performance Map Analysis (IPMA) framework, the questionnaire assessed six dimensions: AI awareness, AI usage, AI evaluation, AI ethics, AI trust, and digital s…

  • IQ variability and cognitive life skills: Insights from Spanish students in vocational physical activity and sports training

    Open Access•María Madrid-Rísquez, Virginia Alcaraz Rodríguez et al.•ARTICLE•Frontiers in Sports and Active…•2025•References: 3

    These findings highlight the challenges faced by vocational students, particularly in areas critical for learning. The study concludes that while intelligence levels in this group are diverse, many students fall below average, emphasizing the need for tailored educational support. Future research should explore targeted interventions to enhance cognitive performance and success in vocational education pathways

  • Development and validation of a life skills evaluation tool for online learning based on the framework of the capability approach

    Open Access•Pilar Gómez‐Rey, Elena Barberà et al.•ARTICLE•Educational Technology Research…•2021

  • Students' perceptions about online teaching effectiveness: A bottom-up approach for identifying online instructors’ roles

    Open Access•Pilar Gómez‐Rey, Elena Barberà et al.•ARTICLE•Australasian Journal of…•2018

    The topic of online instructors’ roles has been of interest to the educational community since the late twentieth century. In previous studies, the identification of online instructors’ roles was done using a top-down (deductive) approach. This study applied a bottom-up (inductive) procedure to examine not only the roles of online instructors from a student perspective, but also how well these roles are implemented in practice. In the first stage…

  • Understanding student evaluations of teaching in online learning

    Pilar Gómez‐Rey, Francisco Fernández-Navarro et al.•ARTICLE•Assessment & Evaluation in Higher…•2018

    In this paper, we have developed a classification model for online learning environments that relates the Instructors Overall Performance (IOP) rating (according to students’ perceptions) with the course characteristics, students’ demographics and the effectiveness of the instructor in his/her teaching roles. To that end, a comprehensive Student Evaluation of Teaching (SET) instrument is proposed, which includes not only conventional teaching ele…

No prominent works on this page.

  • Students' perceptions about online teaching effectiveness: A bottom-up approach for identifying online instructors’ roles

    Open Access•Pilar Gómez‐Rey, Elena Barberà et al.•ARTICLE•Australasian Journal of…•2018

    The topic of online instructors’ roles has been of interest to the educational community since the late twentieth century. In previous studies, the identification of online instructors’ roles was done using a top-down (deductive) approach. This study applied a bottom-up (inductive) procedure to examine not only the roles of online instructors from a student perspective, but also how well these roles are implemented in practice. In the first stage…

  • Understanding student evaluations of teaching in online learning

    Pilar Gómez‐Rey, Francisco Fernández-Navarro et al.•ARTICLE•Assessment & Evaluation in Higher…•2018

    In this paper, we have developed a classification model for online learning environments that relates the Instructors Overall Performance (IOP) rating (according to students’ perceptions) with the course characteristics, students’ demographics and the effectiveness of the instructor in his/her teaching roles. To that end, a comprehensive Student Evaluation of Teaching (SET) instrument is proposed, which includes not only conventional teaching ele…

  • Development and validation of a life skills evaluation tool for online learning based on the framework of the capability approach

    Open Access•Pilar Gómez‐Rey, Elena Barberà et al.•ARTICLE•Educational Technology Research…•2021

  • IQ variability and cognitive life skills: Insights from Spanish students in vocational physical activity and sports training

    Open Access•María Madrid-Rísquez, Virginia Alcaraz Rodríguez et al.•ARTICLE•Frontiers in Sports and Active…•2025•References: 3

    These findings highlight the challenges faced by vocational students, particularly in areas critical for learning. The study concludes that while intelligence levels in this group are diverse, many students fall below average, emphasizing the need for tailored educational support. Future research should explore targeted interventions to enhance cognitive performance and success in vocational education pathways

  • Artificial Intelligence and Digital Competencies: An Importance–Performance Analysis of Future Mathematics Teachers’ Perceptions

    Open Access•Pilar Gómez‐Rey, Salvador Angosto Sánchez et al.•ARTICLE•Education Sciences•2026

    This study examines how future mathematics teachers perceive the importance of AI-related and digital competencies and their self-reported performance in these areas. The study was conducted in a Mathematics Education course in Spain with 198 Primary Education students. Using an Importance–Performance Map Analysis (IPMA) framework, the questionnaire assessed six dimensions: AI awareness, AI usage, AI evaluation, AI ethics, AI trust, and digital s…

Computer Science (3 works) · Mathematics education (3 works) · Perception (3 works) · Psychology (3 works) · Higher education (2 works) · Medical education (2 works) · Medicine (2 works) · Online and Blended Learning (2 works) · Online Learning and Analytics (2 works) · Applications of artificial intelligence (1 works)

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