Today, soft skills (transversal competencies) are increasingly appreciated by employers as essential skills for professional success. Likewise, these competencies are necessary to be able to operate as individuals in today’s society. In view of this situation, in the future post-COVID-19 educational model it is necessary to design training programs that promote both hard skills (specific competencies) and soft skills. This fact brings to the table the need for university teachers to have an optimal level of soft skills so that their students can acquire them. Given this situation, this paper aims to analyze the degree of acquisition of this type of competencies in American university teachers from different regions: (i) North America; (ii) Central America, and (iii) Southern Cone. To achieve this objective, it has been necessary to develop a questionnaire on the self-concept of soft skills, based on several variables: (i) gender, (ii) age range, (iii) geographic area, (iv) area of knowledge, (v) years of teaching experience, and (vi) university tenure (public-private). The questionnaire developed was based on the soft skills included in the Bochum Inventory of Personality and Competences (BIP). Results, obtained by descriptive and inferential statistical analysis of the means and deviations of the data collected from a sample of 473 participants, reflect that, in general, the American university teachers have a high self-concept about their degree of soft skills development. Although results show significant differences depending on each variable considered in this study, it can be suggested that the American university teachers are prepared to face a mixed university educational model, which promotes equally both hard skills and soft skills.

This paper conducts quantitative research on the influence of the COVID-19 pandemic on the adaptation to digital learning environments (DLE) of a group of 908 university professors. We compared the perceptions of participants who were digital natives (born before 1980) with those of digital immigrants (born after 1980). For this purpose, a validated survey was used and the obtained responses statistically analyzed. The results show a negative correlation between pandemic stress and the digital competence of professors and their adaptation skills to digital environments, which although weak for both of the two groups compared are stronger for digital immigrants. Both self-confidence and digital competence show a positive influence on the perception of adaptation of skills to DLE, and this is weaker in digital natives. Gaps were identified by gender and area of knowledge of the participants; consequently, the need to carry out training actions for university faculty on skills linked to their digital competence in teaching is clear.

Green hydrogen, produced by water electrolysis with renewable energy, plays a crucial role in the revolution towards energy sustainability, and it is considered a key source of clean energy and efficient storage. Its ability to address the intermittency of renewable sources and its potential to decarbonize sectors that are difficult to electrify make it a strategic component in climate change mitigation. By using a method based on a bibliometric review of scientific publications, this paper represents a significant contribution to the emerging field of research on green hydrogen and provides a detailed review of electrolyzer technologies, identifying key areas for future research and technology development. The results reflect the immaturity of a technology which advances with different technical advancements, waiting to find the optimal technical solution that allows for its massive implementation as a source of green hydrogen generation. According to the results found in this article, alkaline (ALK) and proton exchange membrane (PEM) electrolyzers seem to be the ones that interest the scientific community the most. Similarly, in terms of regional analysis, Europe is clearly committed to green hydrogen, in view of the analysis of its scientific results on materials and electrolyzer capacity forecasts for 2030.

The use of digital learning environments in higher education has led to design methodological strategies, like gamification, adapted to computer‐based learning. The effectiveness of gamification depends on the adaptation of the methodology to the player's profile. Four types of player profiles (Explorer, Killer, Socialized, and Achiever) are established according to the Bartle classification. In this article, quantitative research is carried out on the player profile and the one considered best for learning engineering professors. Sociological and academic aspects that influence player profile choices are also identified. A descriptive and inferential analysis of the answers given by a population of 532 engineering professors —who attended a training course on gamification in digital environments—to a survey designed by the authors was carried out. The results reveal that most engineering professors are Explorers and this is also the player profile considered best for learning, although there is a gap between the own player profile and the choice of the most effective one. The player profile shown here to be the most frequent among engineering professors differs from that attributed to students in the literature, which is Achiever. Gaps by gender, age, teaching experience, and university tenure are also identified. Universities are recommended to strengthen professor training to design personalized game‐based computing environments and to cater to differences due to several sociological and academic aspects.

This paper studies the perception of Latin American university teachers about the effectiveness of digital content creation (DCC) tools for the creation of e-learning training actions. For this purpose, the opinions of a group of 564 teachers from different universities in 16 Latin American countries have been collected and their answers have been analyzed according to different sociological and academic characteristics (gender, age, teaching experience, area of knowledge, and academic degree). The results indicate that Latin American university teachers express high levels of digital training and highly value the didactic effectiveness of DCC tools to develop e-learning training actions. This valuation is significantly higher among females than males. Gender is also revealed as the most influential characteristic in the perception of teachers about the use of digital resources in the classroom, above any other aspect.