
The Digital Girls Program (DGP) partner projects undertake various activities that impact their members’ academic and professional development. In this context, socio-emotional skills or soft skills can be highlighted. This article is an extension of research investigating evidence of soft skills in experiences reported by female students and coordinators participating in DGP partner projects. In the original research, soft skills relevant to Computer Science were investigated. This extension, in turn, explores soft skills specific to Human-Computer Interaction (HCI). For data collection, a survey was conducted with DGP partner projects. The data analysis method employed was qualitative analysis, based on coding procedures to identify evidence of soft skills in respondents’ narratives. The actions promoted by partner projects were mapped to characterize the participating projects in the survey. As a result, leadership, professionalism, and communication were identified and are related to Computer Science and HCI. Specifically regarding HCI, evidence of critical thinking, empathy, and collaboration was identified. Thus, it is observed that women participating in partner projects develop soft skills relevant to HCI, which is a positive factor for their involvement in this field.
Computer engineering. Computer hardware, Digital Girls Program, Soft Skills, Human-Computer Interaction, TK7885-7895, QA76.75-76.765, Computer Science, Computer software, Survey
Computer engineering. Computer hardware, Digital Girls Program, Soft Skills, Human-Computer Interaction, TK7885-7895, QA76.75-76.765, Computer Science, Computer software, Survey
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
