Data systematization for progressing in sotl

  1. I. Martija 1
  2. F.J. Maseda 2
  3. A.J. Garrido 1
  4. P. Alkorta 1
  5. I. Garrido 1
  6. I. Oleagordia 1
  7. A. Okariz 1
  1. 1 Universidad del País Vasco/Euskal Herriko Unibertsitatea
    info

    Universidad del País Vasco/Euskal Herriko Unibertsitatea

    Lejona, España

    ROR https://ror.org/000xsnr85

  2. 2 Universidad País Vasco
Libro:
Ikaskuntza-irakaskuntza akademikoaren eremu berriak arakatzen

Editorial: Servicio Editorial = Argitalpen Zerbitzua ; Universidad del País Vasco = Euskal Herriko Unibertsitatea

ISBN: 978-84-1319-033-4

Año de publicación: 2019

Páginas: 700-704

Congreso: Congreso EuroSoTL (3. 2019. Bilbao)

Tipo: Aportación congreso

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Resumen

This paper emphasizes the significance of data treatment for Scholarship of Teaching and Learning (SoTL) progression. The Faculty of Engineering in Bilbao is engaged in different educative projects for answering the present and future questions about industrial and society necessities. In this way, the systematic collection of evidences to corroborate the educational proposal effectiveness in the different aspects of the teaching-learning process and innovation transfer will be revealed as a basic tool. Evidences have three sorts of sources: the university, the project itself and the society. Data analysis and results sharing complete the cycle.

Fuente de los datos: Dialnet