Los estereotipos de género y las TICs en estudiantes de secundaria

  1. Castro Balsa, Josefa 1
  2. Trigo, Xoán 1
  1. 1 Universidade de Santiago de Compostela
    info

    Universidade de Santiago de Compostela

    Santiago de Compostela, España

    ROR https://ror.org/030eybx10

Revista:
Revista de estudios e investigación en psicología y educación

ISSN: 2386-7418

Año de publicación: 2017

Título del ejemplar: XIV Congreso Psicopedagogía. Área 13: TECNOLOGÍAS Y COMUNICACIÓN EDUCATIVA

Número: 13

Páginas: 144-148

Tipo: Artículo

DOI: 10.17979/REIPE.2017.0.13.2585 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Revista de estudios e investigación en psicología y educación

Resumen

Este trabajo explora las diferencias de género en estudiantes de secundaria a la hora de interactuar con las TICs. La investigación fue realizada con una muestra de 351 alumnos de 6 centros educativos públicos de Galicia. Se aplicó un cuestionario en el que se medían aspectos relacionados con el acceso, experiencia, frecuencia y uso que hacían, tanto de los computadores como de internet, asi como la percepción de autoeficacia, actitudes y estereotipos de género.  

Referencias bibliográficas

  • Acosta, M., Borges, M., González, E., Hernández, C. y Rodríguez, E. (2003). Use of the ICTs and the Perception of E-learning among University Students: a Differential Perspective according to Gender and Degree Year Group. Interactive Educational Multimedia, 7, 13-28.
  • Beierlein, C., Imhof, M. y Vollmeyer, R. (2006). Computer use and the gender gap: The issue of access, use, motivation, and performance. Computers in Human Behavior, 23, 2823–2837
  • Durndell, A. y Haag, Z. (2002). Computer self efficacy, computer anxiety, attitudes towards the internet and reported experience with the internet, by gender, in an East European sample. Computers in Human Behavior, 18, 521–535.
  • Glassman, M. y Kim, Y. (2013). Beyond search and communication: Development and validation of the internet Self-efficacy Scale (ISS) Computers in Human Behaviour, 29, 1421-1429.
  • Hergatt, A., Whetten, J. y Huffman, W. (2013). Using technology in higher education: The influence of gender roles on technology self-efficacy. Computers in Human Behavior, 29, 1779–1786.
  • Joiner, R., Gavin, J., Brosnan, M., Cromby, J., Gregory, H., Guiller, J., Maras, P. y Moon, A. (2012). Gender, internet experience, internet identification and internet anxiety: a ten year follow up. Cyberpsychology, behavior and social networking, 15, 7, 370-372.
  • Li, N. y Kirkup, G. (2007) Gender and cultural differences in internet use: A study of China and the UK. Computers & Education, 48, 301–317.
  • Li, Y. y Ranieri, M. (2013). Educational and social correlates of the digital divide for rural and urban children: A study on primary school students in a provincial city of China. Computers & Education, 60, 197-209.
  • Nickell, G.S. y Pinto, J.N. (1986). The computer attitude scale. Computers in Human Behavior, 2, 301-306.
  • Papastergiou, M. (2008). Are computer science and information technology still masculine fields? High school students’ perceptions and career choices. Computers and Education, 51(2), 594–608.
  • Simsek, A. (2011) The relationship between Computer Anxiety and Computer Self-Efficacy. Contemporary Educational Technology 2 (3), 177-187.
  • Tomte, C. y Hatlevik, O.E. (2011) Gender-differences in self-efficacy ICT related to various ICT-user profiles in Finland and Norway. How do self-efficacy, gender and ICT-user profiles relate to findings from PISA 2006. Computers & Education, 57, 1416-1424.
  • Tsai, M-J. & Tsai, C-C. (2010) Junior high school students' internet usage and self-efficacy: A re-examination of the gender gap. Computers & Education, 54, 1182-1192
  • Vekiri, I. y Chronaki, A. (2008). Gender issues in technology use: Perceived social support, computer self-efficacy and value beliefs, and computer use beyond school. Computers & Education, 51, 1392–1404.
  • Whitley, B. (1997). Gender Differences in Computer-Related Attitudes and Behavior: A Meta-Analysis. Computers and Human Behavior, 13 (l), 1-22.