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Amoudi, Ghada; Tbaishat, Dina – Education and Information Technologies, 2023
Social network analysis involves delicate and sophisticated mathematical concepts which are abstract and challenging to acquire by traditional methods. Many studies show that female students perform poorly in computer science-related courses compared to male students. To address these issues, this research investigates the impact of employing a…
Descriptors: Computer Science, Graduate Students, Outcomes of Education, Educational Technology
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Happe, Lucia; Buhnova, Barbora; Koziolek, Anne; Wagner, Ingo – Education and Information Technologies, 2021
The interest of girls in computing drops early during primary and secondary education, with minimal recovery in later education stages. In combination with the growing shortage of qualified computer science personnel, this is becoming a major issue, and also a target of numerous studies that examine measures, interventions, and strategies to boost…
Descriptors: Females, Secondary School Students, Computer Science Education, Intervention
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Yates, Julia; Plagnol, Anke C. – Education and Information Technologies, 2022
The under-representation of women in computer science education courses is well documented, and the social and commercial need to address this is widely recognised. Previous literature offers some explanation for this gender imbalance, but there has been limited qualitative data to provide an in-depth understanding of existing quantitative…
Descriptors: Computer Science Education, Disproportionate Representation, Womens Education, Females