Profiles of ICT identity and their associations with female high school students' intention to study and work in ICT: A mixed-methods approach. (April 2023)

• Record Type: Journal Article
• Authors: Liong, Mario; Yeung, Dannii Y.; Cheng, Grand H.-L.; Cheung, Ray Y.H.
• Is Part Of: Computers & education. Volume 195(2023)
• Publication Date: 2023-04
• Subjects: Gender studies -- Pedagogical issues -- Secondary education -- Teaching/learning strategies; Education -- Data processing -- Periodicals; Education -- Periodicals; Computers -- Periodicals; Computer-Assisted Instruction -- Periodicals; Éducation -- Informatique -- Périodiques; Electronic journals; 370.285
• DOI: 10.1016/j.compedu.2022.104722
• Languages: English
• ISSNs: 0360-1315

Abstract

Abstract: Among science subjects, gender disparities are most evident in information and communication technology (ICT). Researchers have suggested that science identification plays a key role in motivating young females to pursue the study and work of science. However, few studies have comprehensively examined the constituting components of ICT identity and its influencing factors from a person-centered perspective. By adopting an explanatory mixed methods design, this study uncovers ICT identity profiles using nine components derived from the literature and examines their influence on the intention to further study and work in the ICT field among female high school students. The sample included 821 female high school students from 13 schools in Hong Kong who completed a self-report questionnaire. Twenty of them were invited for a follow-up semi-structured interview. The result of the latent profile analysis reveals five ICT identity profiles based on differences in the levels of the nine components. Both quantitative and qualitative data analyses indicate that the higher the level of ICT identity is, the more likely female students are to choose to study and work in ICT. Furthermore, adolescent females with low levels of gender stereotypic beliefs and high degrees of parental and peer support are more likely to belong to the highest level of the ICT identity profile, namely, the ICT person profile. In particular, female high school students with the ICT person profile report even stronger intentions to study ICT when they are clear about career prospects, whereas those with the average ICT identity profile display stronger intentions to work in the ICT industry when they have high expectations of career success. The practical implications for ICT education are discussed. Highlights: Five ICT identity profiles are identified based on nine components. The intention to study and work in ICT varies with ICT identity profile. Gender stereotypic beliefs and social support shape ICT identity profiles. Prospective career knowledge further increases adolescents' intentions to study ICT. Perceived career success boosts average students' intentions to work in ICT.