Milla Kruskopf, Rekar Abdulhamed, Mette Ranta, Heidi Lammassaari, Kirsti Lonka
Elsevier, Teaching and Teacher Education
https://www.sciencedirect.com/science/article/pii/S0742051X24001069?via%3Dihub
Highlights
• Two dimensions confirmed regarding teaching self-efficacy in ICT competencies.
• Younger age, male gender and STEM-background related to (teaching) self-efficacy in practical and algorithmic competencies.
• Females reported a stronger positive relation of previous schooling to algorithmic self-efficacy compared to males.
• ICT competencies display gendered self-efficacy biases, unlike other 21st century skills.
• Teachers need more resources to support their students digital and algorithmic literacy competencies.
Abstract
Future teachers need to be confidently equipped to teach 21st century ICT skills. We investigated teaching self-efficacy (TSE) in ICT competencies among teacher students. We confirmed distinct ICT competencies among two cohorts from teacher training programs (n = 347; n = 428): practical (i.e., device and data management), and algorithmic (i.e., programming, and data security). Regression analyses indicated TSE-biases regarding younger age, male gender, and a background in natural sciences, with significant interactions between age, gender, and having learned such ICT-skills already in school. The findings point to a need for tailored strategies in teacher education to mitigate TSE disparities.