Gender, prior digital experience, training and related factors influence digital competence¶

Claim · All claims
Evidence · 1 study (2 entries) · review r2 · q2
Currency · newest study 2021 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Reviewed studies list gender, previous digital experience, received training, research project participation, teaching experience and video use as factors influencing digital competence. → Zhao Yu 2021 q2 i? Men considered themselves more competent than women in ICT use, reporting better information management and online collaboration skills. → Zhao Yu 2021 (2)

Evidence¶

Zhao Yu 2021¶

Zhao Yu, Pinto Llorente Ana María, Sánchez Gómez María Cruz. (2021). Digital competence in higher education research: A systematic literature review. Computers & Education, 168, 104212. https://doi.org/10.1016/j.compedu.2021.104212

q2 · i? · review · r2

Review synthesis of five studies analyzing factors influencing real digital skills; the review also lists age, attitude and technological and cognitive skills as affecting digital competence.

"factors such as gender, previous digital experience, received training, number of research and innovation projects participated in, teaching experience and the use of technology (Videos) have been listed."

Zhao Yu 2021 (2)¶

Zhao Yu, Pinto Llorente Ana María, Sánchez Gómez María Cruz. (2021). Digital competence in higher education research: A systematic literature review. Computers & Education, 168, 104212. https://doi.org/10.1016/j.compedu.2021.104212

q2 · i? · review · r2

Review reports, attributing to Grande-de-Prado et al. (2020), a gender difference in self-perceived competence; the review also notes women used technologies for social purposes while men used them more for technical or training purposes.

"Grande-de-Prado et al. (2020) indicated that men considered themselves more competent than women in the use of ICTs, reporting better information management and online collaboration skills"

Discussion¶

Learner Variables¶

• Digital Literacy — predictor: learners who differ on it differ in outcomes

Related Claims¶

• Teachers receiving 11 or more hours of training on integrating digital content report almost double the reliance on software and the Internet compared with untrained teachers — a narrower finding that bears on this claim
• Teaching experience is a minor negative predictor of digital data use, while age and gender show no significant effect — related
• Teachers' digital competence is a critical factor influencing both AI tool adoption and its pedagogical effectiveness — related
• Teacher characteristics from the will-skill-tool model — data literacy, availability of data technologies, and positive beliefs — predict teachers' pedagogical use of digital data, with data literacy the strongest predictor — related
• Gender and age did not affect pre-service teachers' ICT competence for educational practice — reports the opposite
• Higher work experience and administrative experience are associated with lower ICT use and informatics competencies — a narrower finding that bears on this claim
• Training factors, including prior computer training and in-service training, are associated with leaders' digital competence — a narrower finding that bears on this claim