Files in this item



application/pdfb-learning-ingenieria-2007.pdf (310kB)
(no description provided)PDF


Title:Aprender para enseñar: Blended Learning en la Facultad de Ingeniería
Author(s):Bertazzi, Graciela; Mallo, Adriana; Scagnoli, Norma I.
Subject(s):blended learning
Abstract:This paper consists in the descriptive analisys of a pedagogic experience carried out on a blended learning basis at the Facultad de Ingeniería y Ciencias Económico-Sociales of the Universidad Nacional de San Luis, at the beginning of 2007. It was a postgraduate course called: “Educación Superior en el Nuevo Milenio. Cómo transformar la oferta académica presencial en semi-presencial o a distancia”. The authors of this paper belong to the research project which organized it. The course was aimed at all the university professors interested in getting the training necessary to design and teach distance education courses/subjects. The data were collected through observation and two questionnaires to students, one at the beginning and the other at the end of the course.The main objective of this paper is to analyse the above mentioned experience in relation to its quality and usefulness, the amount of people who benefited from it and the students’ needs, among other things, to continue providing training that satisfies the demands of this institution. Another objective underlying this investigation is to reflect on distance education in this faculty.
Issue Date:2007-12
Publisher:Revista Argentina de Enseñanza de la Ingeniería
Citation Info:Bertazzi G., Mallo A., & Scagnoli N. I., (2007). Learning to teach: Blended Learning in Engineering [Aprender para Enseñar: B-Learning en la Facultad de Ingenieria] Revista Argentina de Enseñanza de la Ingeniería 8(15) , 37-46
Date Available in IDEALS:2015-10-09

This item appears in the following Collection(s)

  • Illinois Research and Scholarship
    This is the default collection for all research and scholarship developed by faculty, staff, or students at the University of Illinois at Urbana-Champaign

Item Statistics