Factors associated with the gender gap in the STEM sector: Comparison of theoretical and empirical concept maps and qualitative SWOT analysis.

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.

The gender gap in higher STEM studies: A systematic literature review.

The development of science, technology, engineering, and mathematics (STEM) requires more qualified professionals in these fields. However, gender segregation in higher education in this sector is creating a gender gap that means that for some disciplines female representation does not even reach 30% of the total. In order to propose measures to address the phenomenon, it is necessary to understand the possible causes of this issue. A systematic literature review and mapping were carried out for the study, following the PRISMA guidelines and flowchart. The research questions to be answered were (RQ1) What studies exist on the gender gap in relation to the choice of higher education in the STEM field; and (RQ2) How do gender roles and stereotypes influence decision-making related to higher education? The review of peer-reviewed scientific articles, conferences texts, books and book chapters on the European education area was applied. A total of 4571 initial results were obtained and, after the process marked by the PRISMA flowchart, the final results were reduced to 26. The results revealed that gender stereotypes are strong drivers of the gender gap in general, and the Leaky Pipeline and Stereotype Threat in particular. To narrow the gender gap, it is necessary to focus on influences from the family, the educational environment, and the peer group, as well as from the culture itself. Positive self-concept, self-efficacy, self-confidence, and self-perception need to be fostered, so that the individual chooses their studies according to their goals.

Catch the Open! A Gamified Interactive Immersion Into Open Educational Practices for Higher Education Educators.

Open Education (OE) opens up learning opportunities to, potentially, every person in the world. Additionally, it allows teachers, researchers, and practitioners to find, share, reuse, and improve existing resources under a dependable legal framework. Aiming to spread and foster the introduction of open policies in Higher Education (HE) institutions, the gamified interactive learning experience Catch the Open! was developed. Catch the Open! targets HE educators who wish to learn, or who wish to deepen their existing knowledge, about OE and Open Educational Practices (OEP). Within the gamified learning experience, the user becomes an educator, Alex, the game character, who receives a task from the Rector: to investigate how to best include OE and OEP in teaching and learning practice within the institution. Alex proceeds to explore and gather information in a web-based 2D virtual HE institution where students, colleagues, and guest researchers will help her to develop a comprehensive understanding of OE and the practical application of OEP. The educational content within Catch the Open! is underpinned by an OE competences framework for HE educators, developed in a previous phase of the Erasmus+ OpenGame project. In this paper, the design process to link pedagogical and technological approaches, which results in the Catch the Open! gamified web-based interactive application, is presented as well as the application itself. Moreover, two phases of piloting with 153 HE educators from six different HE institutions are presented. The obtained findings showed that the gamified environment helped in learning about OE. On the other hand, learners also suggested several improvement aspects of the gamified environment, such as the length of finishing a learning mission while playing.

Exploring factors influencing pre-service and in-service teachers´ perception of digital competencies in the Chinese region of Anhui.

The emergence of the Covid-19 pandemic has accelerated the wave of digital social transformation worldwide and pushed the "Accelerator Key" for the digital transformation of education in 2020. This transformation has also impacted in an all-around way in China. Taking Anhui province as a case study, this research explores socio-demographic factors influencing the digital competence level of pre- and in-service teachers of primary and secondary education in China. The quantitative methodological approach emphasizes the study subjects' perception of their digital competencies in three factors: basic technology literacy, technical support learning, and technical support teaching. The study involved 250 pre-service teachers and 248 in-service teachers. The main findings are: (1) participants have good consciousness and attitudes towards using ICT in daily work, but their educational practice is weak; (2) in-service teachers have a digital competence level generally higher than pre-service teachers', which might be their professional practice promote them to reflect on perceptions and attitudes regarding technological education; (3) for in-service teachers, there are significant differences between their digital competence level and age, years of teaching experience, educational background; (4) current ICT courses have no influencing on in-service teachers' digital competence level, implying that current ICT training system may have problems. The study provides insights to improve pre-service teachers' digital competence education in universities and develop well-designed in-service teachers' ICT training courses.

University students' views regarding gender in STEM studies: Design and validation of an instrument.

Differences in the representation of diversity in higher education, emphasising the gender gap in some areas, are issues addressed from different research domains. Socially, gender roles have been constructed and are also related to professions. In this context, the Social Cognitive Career Theory explores the possible causes of segregation. This segregation is evident in Europe and Spain, as indicated by the European Institute for Gender Equality. This paper describes the design and validation process of an instrument to find out what opinions university students have about higher education studies in science, technology, engineering and mathematics (STEM), according to gender. After drafting the questionnaire, it was piloted in a non-experimental quantitative design in Spain. Subsequently, a validity and reliability study was applied to validate the items and construct their dimensionality. The process was implemented using Reliability Analysis and Exploratory Factor Analysis. Also, the dimensionality consists of five scales: Gender Ideology, Perception and Self-perception, Expectations about Science, Attitudes and Interests. Based on the results, it is concluded that the opinion about STEM studies is conditioned by personal elements, such as motivations, educational background and family and social influences, such as people who judged their decision, were their references or studied STEM programs. Finally, it is essential to pay socio-educational attention to the modulating components of decisions about which higher education studies to pursue. Awareness of the factors involved in the decision helps the educational community to establish mechanisms to prevent horizontal gender segregation. The instrument designed, validated and presented in this study provides a glimpse of possible causes for the gender gap in STEM higher education.

A Meta-Model Integration for Supporting Knowledge Discovery in Specific Domains: A Case Study in Healthcare.

Knowledge management is one of the key priorities of many organizations. They face different challenges in the implementation of knowledge management processes, including the transformation of tacit knowledge-experience, skills, insights, intuition, judgment and know-how-into explicit knowledge. Furthermore, the increasing number of information sources and services in some domains, such as healthcare, increase the amount of information available. Therefore, there is a need to transform that information in knowledge. In this context, learning ecosystems emerge as solutions to support knowledge management in a different context. On the other hand, the dashboards enable the generation of knowledge through the exploitation of the data provided from different sources. The model-driven development of these solutions is possible through two meta-models developed in previous works. Even though those meta-models solve several problems, the learning ecosystem meta-model has a lack of decision-making support. In this context, this work provides two main contributions to face this issue. First, the definition of a holistic meta-model to support decision-making processes in ecosystems focused on knowledge management, also called learning ecosystems. The second contribution of this work is an instantiation of the presented holistic meta-model in the healthcare domain.

Technological Ecosystems in the Health Sector: a Mapping Study of European Research Projects.

The European Union has a substantial investment in research and development and demand side-measures in the health sector in order to promote new initiatives, prevent disease and foster healthy lifestyles. In particular, the European Commission and other European entities have funded research projects focused on the use of technology in the health sector. In this context, health research initiatives have evolved from user-centred monolithic solutions into collaborative partnerships of different stakeholders that gather around different technological platforms. In order to identify the lacks and opportunities in this area, a systematic mapping study was conducted with the aim of identifying and analysing the recent research projects developed in Europe related to technological ecosystems in the health sector. The study covered closed European research projects from 2003 to 2018. This paper aims to extend that systematic mapping study through ongoing research projects. The analysis of these research projects provides an overview of the current trends and identify the lacks and opportunities to define new advances in this research area. Moreover, the comparison between the first mapping study focused on closed projects, and the current study, allows getting an overview of the evolution of technological ecosystems in the health sector.

Usability Evaluation of a Private Social Network on Mental Health for Relatives.

Usability is one of the most prominent criteria that must be fulfilled by a software product. This study aims to evaluate the usability of SocialNet, a private social network for monitoring the daily progress of patients by their relatives, using a mixed usability approach: heuristic evaluation conducted by experts and user testing. A double heuristic evaluation with one expert evaluator identified the issues related to consistency, design, and privacy. User testing was conducted on 20 users and one evaluator using observation techniques and questionnaires. The main usability problems were found to be related to the structure of SocialNet, and the users presented some difficulties in locating the buttons or links. The results show a high level of usability and satisfaction with the product. This evaluation provides data on the usability of SocialNet based on the difficulties experienced by the users and the expert. The results help in redesigning the tool to resolve the identified problems as part of an iterative process.

Psychiatric Patients Tracking Through a Private Social Network for Relatives: Development and Pilot Study.

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.