“Do You Think You Have What it Takes?” – Exploring Predictors of Pre-Service Teachers’ Prospective ICT Use

Marcela Gerardina Pozas Guajardo, Verena Letzel

Research output: Contribution to journalArticlepeer-review

Abstract

Despite extensive efforts to support teachers with the integration of information and communication technologies (ICT) into their classroom practice, current research reports that teachers face immense challenges when integrating ICT into their teaching. This issue has become even more relevant with the rapid spread of the COVID-19 virus, forcing schools around the world to close for an indefinite period of time and thus to offer remote digital learning solutions. Against this background, this study focused on examining the predictors of pre-service teachers’ prospective ICT use and investigated the heterogeneous results of previous research related to ICT use and gender. Following the ‘will, skill, tool’ framework, the study examined relevant factors of pre-service teachers’ (N = 103) prospective ICT use for teaching and learning processes by means of multiple regression analyses. The analyses included pre-service teachers’ background characteristics, ICT profiles (attitudes and self-efficacy), digital competencies and use of digital tools in order to explore their role in future in-class use of ICT. They also show that there are no gender differences in pre-service teachers’ prospective ICT integration. However, male pre-service teachers hold more positive attitudes towards ICT use than their female counterparts. Additionally, the findings reveal that the two strongest predictors of pre-service teachers’ future ICT use are their attitudes and perceived competency to teach and implement technology in their teaching practices. Finally, the results provide important information about teachers’ training needs. Implications of the results and further research are discussed.

Original languageEnglish
JournalTechnology, Knowledge and Learning
DOIs
Publication statusPublished - 2021

Bibliographical note

Publisher Copyright:
© 2021, The Author(s).

All Science Journal Classification (ASJC) codes

  • Mathematics (miscellaneous)
  • Education
  • Human-Computer Interaction
  • Computer Science Applications

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