ABSTRACT
Science, Technology, Engineering, and Mathematics (STEM) degrees represent a future employment scenario with low unemployment rates due to the high demand for qualified personnel. However, the STEM sector also represents an educational field marked by horizontal segregation and the gender gap. Different factors play a role in deciding which higher education studies to pursue. From a theoretical and empirical approach, this study aims to identify which factors are associated with the gender gap in the STEM higher education sector. Furthermore, as a research question, it is proposed: are the factors identified at a theoretical and empirical level associated with the gender gap in the STEM higher education sector the same? The empirically validated questionnaire "Questionnaire with university students on STEM studies in Higher Education" (QSTEMHE) was applied to the student community of public and private universities in Spain in 2021, using simple random probability sampling to answer the research question and objective. A final sample of 2101 participants of different genders belonging to different branches of knowledge was obtained. The data analysis was carried out using qualitative methodology and the phenomenological method, following different stages. Firstly, a theoretical conceptual map of the main factors identified in the literature and their authors was composed. Secondly, an empirical conceptual map has been designed with the factors identified in the narratives of the study participants. Finally, these maps were complemented with a SWOT analysis based on the participants' discourses. As a result, it has been observed that there are extrinsic and intrinsic factors and that social constructs and gender stereotypes strongly influence the perception of men, women, and professions and the masculinisation and feminisation of these. Outreach interventions should be proposed from the institutional educational spheres to alleviate existing biases about studies and professions.
ABSTRACT
The treatment of psychiatric patients requires different health care from that of patients from other medical specialties. In particular, in the case of Department of Psychiatry from the Zamora Hospital (Spain), the period of time which patients require institutionalized care is a tiny part of their treatment. A large part of health care provided to the patient is aimed at his/her rehabilitation and social integration through day-care centres, supervised flats or activities. Conversely, several reports reveal that approximately 50 % of Internet users use the network as a source of health information, which has led to the emergence of virtual communities where patients, relatives or health professionals share their knowledge concerning an illness, health problem or specific health condition. In this context, we have identified that the relatives have a lack of information regarding the daily activities of patients under psychiatric treatment. The social networks or the virtual communities regarding health problems do not provide a private space where relatives can follow the patient's progress, despite being in different places. The goal of the study was to use technologies to develop a private social network for being used by severe mental patients (mainly schizophrenic patients). SocialNet is a pioneer social network in the health sector because it provides a social interaction context restricted to persons authorized by the patient or his/her legal guardian in such a way that they can track his/her daily activity. Each patient has a private area only accessible to authorized persons and their caregivers, where they can share pictures, videos or texts regarding his/her progress. A preliminary study of usability of the system has been made for increasing the usefulness and usability of SocialNet. SocialNet is the first system for promoting personal interactions among formal caregivers, family, close friends and patient, promoting the recovery of schizophrenic patients. Future studies should study the network's potential usefulness for improving the prognosis and recovery of schizophrenia.
