Rodríguez Rincón, Yeray

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https://academica-e.unavarra.es/handle/2454/51266

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Rodríguez Rincón

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Yeray

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Estadística, Informática y Matemáticas

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1172459

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812591

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2023 - 20254
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Author: Campión Arrastia, María Jesús ×

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Now showing 1 - 4 of 4
  • Thumbnail Image
    PublicationOpen Access
    Mathematics in economic and business science: how to reach the top without a pathway
    (Universitat Politècnica de València, 2023) Rodríguez Rincón, Yeray; Munárriz Iriarte, Ana; Goicoechea López-Vailo, María Isabel; Campión Arrastia, María Jesús; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika
    The level of mathematical knowledge with which students enter Economics and Business Administration Degrees varies according to the Baccalaureate pathway taken. The Zone of Real Development of students coming from the Social Sciences Baccalaureate differs from the Necessary Zone of Real Development for the correct acquisition of academic competences, which is close to that developed in the Scientific-Technological pathway. In order to characterise the existing mathematical deficit, a quantitative and perceptive analysis of the mathematical deficiencies of new students in those Degrees coming from the Social Sciences pathway is proposed. The results allow the identification of various areas where training deficiencies exist, which are corroborated by the students' perception. To solve them, the creation of a virtual platform that identifies, in a personalised way, the deficiencies of each student is proposed. Through guided gamification, the complementary course would allow students to reach the Necessary Real Development Zone before starting University.
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    PublicationOpen Access
    Instructional design for tutoring on interactive platforms: creating educational interventions overcoming the digital gap
    (Springer, 2025-05-27) Rodríguez Rincón, Yeray; Munárriz Iriarte, Ana; Campión Arrastia, María Jesús; Goicoechea López-Vailo, María Isabel; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Institute for Advanced Research in Business and Economics - INARBE; Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa
    This article proposes an instructional model based on psycho-pedagogical theories to serve as a basic structural unit for the creation of educational reinforcement platforms aimed at strengthening quantitative competences with which students enroll mathematics and statistics subjects (or other subjects that draw on this knowledge) at university. Although there are Intelligent Tutoring Systems (ITS) that are beneficial for students, the difficulty of manipulation and programming, together with their high economic cost when lacking programming skills, have prevented a widespread use of this type of interventions. Following the first steps of the ADDIE model, this article develops an instructional model that can be easily replicated by instructors lacking in programming and digital skills, designed to be applied in free and easy-to-handle interactive tutoring platforms, such as Genially.com or Canva, among others. The main foundations on which the pedagogical guideline is based are extracted through an extensive review of academic literature on psycho-pedagogical theories such as scaffolding, effective learning, metacognition, educational reinforcement, or feedback. Through it, students will be able to strengthen their quantitative conceptual foundations and reflect on their own learning process.
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    PublicationOpen Access
    From training practice in the professional world to university: characterization of Vocational Training students to retain them in university studies
    (Universitat Politècnica de València, 2023) Munárriz Iriarte, Ana; Rodríguez Rincón, Yeray; Goicoechea López-Vailo, María Isabel; Campión Arrastia, María Jesús; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika
    This paper analyses the Vocational Training students who enroll at the School of Economics and Business Administration of the Public University of Navarre. For this purpose, a descriptive study of this admission profile has been carried out. In addition, their educational strengths and weaknesses have been studied, as well as whether accessing a Degree after having studied vocational training affects their performance and dropout. According to the results, students mostly choose the Bachelor's Degree in Business Administration and the Bachelor's Degree in Economics, with a better performance in the subjects that are similar to those previously studied in Vocational Training. At the same time, they show deficiencies in the quantitative area, being the access route a determining factor in the result.
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    PublicationOpen Access
    Congreso Bienal de la Real Sociedad Matemática Española 2024 RSME'24
    (Gobierno de Navarra / Nafarroako Gobernua, 2024) Campión Arrastia, María Jesús; Higueras Sanz, Inmaculada; Munárriz Iriarte, Ana; Paniello Alastruey, Irene; Rodríguez Rincón, Yeray
    Libro que recoge principalmente los resúmenes de las contribuciones presentadas al Congreso Bienal de la Real Sociedad Matemática Española celebrado en enero de 2024 en la Universidad Pública de Navarra. Este congreso es la cita más importante de la investigación matemática que se celebra de forma periódica en España, tanto por el nivel de los conferenciantes como por el elevado número de asistentes.